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AMPA Algorithm Algorithms Alpha Rhythm Alpha rhythm Alpha rhythms Alzheimer's Disease Alzheimer's disease Alzheimers Disease Analysis Annealing Anti-Inflammatory Agents Approximation theory Artificial Intelligence Artificial Neural Networks Bayesian methods Bifurcation analysis Binary Patterns Bio-inspired vision chip CMAC Codes (symbols) Computational complexity Computer Architecture--Reduced Instruction Set Computing Computer architecture Computer hardware Computer simulation Computer vision Conformal mapping Conventional computers Cross-correlation Custom VLSI devices Data storage equipment Digital signal processing Electroencephalogram Electroencephalography Embedded vision Equivalence classes Event-related-(de)synchronisation FPGA Facial features Feature selection Field-Programmable Gate Arrays Free energy Function evaluation Functions GABA Ganglion cell Gaussian distribution General memory neural network Genetic Programming Genetic algorithms Grey Scale Images HCCI Combustion Human–robot interaction Image Processing Image Processing--Image Analysis Image Processing--Reconstruction Inherent parallelism Ion Current Sensing Kalman filtering Kernel regression networks, Neural networks, article Kohonen Algorithm Kohonen Neural Network Kohonen self organizing map LGMD Learning by Example Learning systems Learning systems, Basis functions Local receptive fields Logic devices Machine Learning Mathematical techniques, Central limit theorem Memory Microfluidic Analytical Techniques Mobile Robots Models, Chemical Models, Statistical Multiobjective evolutionary algorithm N tuple regression network N tuple sampling N-tuple networks N-tuple neural networks N-tuple techniques Natural computation Neural Computing Neural Computing, Neural Networks Neural Networks Neural Networks (Computer) Neural Networks - United Kingdom, European Community Neural Networks, Binary Space Neural mass model Neural mass models Neural models Neural nets Neural networks Neurons Non parametric estimation Non-linear classifiers Optimization Parameter estimation Pareto Pattern Classification Pattern Recognition, Neural Network-Based Systems, Neural Networks Pattern classifiers Pattern recognition Perception Polynomial Modelling Probabalistic neural networks Probability density function RAM Random access storage Random access storage based neural networks Random access storage, CMAC architecture Reconfigurable logic devices, Computer architecture Real-time application Recurrent neural networks Regression analysis, N tuple recognition systems, Pattern recognition systems Regression equation, Neural networks, article Robotics SDM SOFM SOM Sampling, Basis functions Self Organizing Feature Map Self-Organising Map Self-Organizing Algorithm Signal Processing--Correlation Detectors, Temporal Information, Neural Networks Solubility Sound-source localisation Statistical mechanics, Elastic nets, Neural networks Stochastic analysis, Neural networks Swarm Intelligence Thalamocortical circuitry Training Algorithm, Image Storage, Digital Trajectory detection Vision, Human Visual Processing Visual Search Pattern, Computer Vision Visual motion adaptive systems algorithm algorithms alpha rhythm alpha rhythms alpha rhythms; thalamocortical circuitry; Alzheimer's disease artificial intelligence artificial neural network autonomous detector bmjdoi bmjexample bmjtype brain oscillations cellular automata chromosome aberrations coding cognitive system collision computer program computer system computer vision convergence data mapping data mining data visualisation directional selective neuron discrete wavelet transforms drug delivery system drug solubility electroencephalogram entropy event-related (de )synchronisation; focal-ERD/surround-ERS; Alzheimer's Disease; thalamocortical circuitry; lumped computational model evolutionary algorithms face recognition fast committee learning feature extraction feedforward networks feedforward neural nets filter-overlap flow rate food technology foveal pit frequency response function approximation fuzzy logic fuzzy systems image recognition image resolution information recovery interpolation kernel estimation kinetic framework kinetic modelling lateral inhibition learning speed learning systems learning trajectory linear discriminant analysis lobula giant movement detector locusts measure correlate predict memory architecture microfluidics mobile robot molecular model nanoparticle networks neural coding neural mass model neural mass models neural net architecture neural nets neural networks neurotransmitters non-linear analysis parallel architectures parallel machines particle size pattern classification pattern recognition perceptual information recovery perceptually important information postsynaptic precipitation prediction prednisolone priority journal probability properties psychology radial basis function networks rank-oder codes rank-order codes rate distortion theory reactor receptive field reconfigurable architectures retinal model retinal modelling segmentation self-adjusting systems self-organising feature maps self-organising map self-organising maps semantic data visualisation sensory descriptive evaluation solvent, article statistical analysis structure visualisation synaptic connectivity target recognition teleconferencing thalamo-cortical model thalamo-cortico-thalamic circuitry thalamocortical circuitry theta rhythms topology trajectory transform coding unsupervised learning validation study, Algorithms vector quantisation vectors video coding vision visual motion visual neural networks visual perception visual stimulated motor control wind energy
Number of items at this level: 332.

AMPA

sen Bhattacharya, Basabdatta (2013) Implementing the cellular mechanisms of synaptic transmission in a neural mass model of the thalamocortical circuitry. Frontiers in Computational Neuroscience, 7 (81). ISSN 1662-5188

Algorithm

Howard, Neil J. and Tyrrell, Andrew M. and Allinson, Nigel M. (1996) The use of field-programmable gate arrays for the hardware acceleration of design automation tasks. VLSI Design, 4 (2). pp. 135-139. ISSN 1065-514X

Hunter, Andrew (2002) Using Multiobjective Genetic Programming to Infer Logistic Polynomial Regression Models [and] Experimental Supplement. In: 15th European Conference on Artificial Intelligence 2002, 21-26 July 2002, Lyon, France.

Algorithms

Emmanouilidis, Christos and Hunter, Andrew and MacIntyre, John (2000) A multiobjective evolutionary setting for feature selection and a commonality-based crossover operator. In: 2000 Congress on Evolutionary Computation, 16th-19th July 2000, La Jolla, CA, USA.

Hunter, Andrew (2000) Training feedforward neural networks using orthogonal iteration of the Hessian eigenvectors. In: International Joint Conference of Neural Networks, 24-27 July 2000, Como, Italy.

Tereshko, Valery and Allinson, Nigel M. (2002) Combining lateral and elastic interactions: topology-preserving elastic nets. Neural Processing Letters, 15 (3). pp. 213-223. ISSN 1370-4621

Yin, H. and Allinson, Nigel (1993) Stochastic analysis and comparison of Kohonen SOM with optimal filter. In: Third International Conference on Artificial Neural Networks, 1993, 25-27 May 1993, Brighton.

Alpha Rhythm

Sen Bhattacharya, Basabdatta and Cakir, Yuksel and Serap-Sengor, Neslihan and Maguire, Liam and Coyle, Damien (2013) Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease. Neurocomputing, 115 . pp. 11-22. ISSN 0925-2312

Alpha rhythm

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2012) Assessing alpha band event-related synchronisation/desynchronisation with a mutually coupled thalamo-cortical circuitry model. Journal of Universal Computer Science, 18 (13). pp. 1888-1904. ISSN 0948-695X

Alpha rhythms

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2011) Alpha and theta rhythm abnormality in Alzheimer's disease: a study using a computational model. In: From brains to systems. Advances in Experimental Medicine and Biology, 718 . Springer, New York, pp. 57-73. ISBN 9781461401643

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam P. (2011) A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease. Neural Networks, 24 (6). pp. 631-645. ISSN 0893-6080

Alzheimer's Disease

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2011) Alpha and theta rhythm abnormality in Alzheimer's disease: a study using a computational model. In: From brains to systems. Advances in Experimental Medicine and Biology, 718 . Springer, New York, pp. 57-73. ISBN 9781461401643

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2012) Assessing alpha band event-related synchronisation/desynchronisation with a mutually coupled thalamo-cortical circuitry model. Journal of Universal Computer Science, 18 (13). pp. 1888-1904. ISSN 0948-695X

sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2010) A computational modelling approach to investigate alpha rhythm slowing associated with Alzheimer’s disease. In: BICS 2010, 14-16 July 2010, Madrid, Spain.

Alzheimer's disease

Coyle, Damien and Sen Bhattacharya, Basabdatta and Zou, X. and Wong-Lin, K. and Abuhassan, K. and Maguire, L. (2013) Neural circuit models and neuropathological oscillations. In: Handbook of bio- and neuro-informatics. Springer Verlag. ISBN 9783642305733

Sen Bhattacharya, Basabdatta and Cakir, Yuksel and Serap-Sengor, Neslihan and Maguire, Liam and Coyle, Damien (2013) Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease. Neurocomputing, 115 . pp. 11-22. ISSN 0925-2312

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2011) Assessing retino-geniculo-cortical connectivities in Alzheimer’s disease with a neural mass model. In: IEEE Symposium Series on Computational Intelligence: Cognitive Algorithms, Mind and Brain, April 2011, Paris.

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam P. (2011) A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease. Neural Networks, 24 (6). pp. 631-645. ISSN 0893-6080

Alzheimers Disease

sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2011) Synaptic deficiency in Alzheimer disease and its implications on thalamic and cortical oscillations: a study using a neural mass model. In: 11th UKCI workshop, 7th-9th September 2011, Manchester.

Analysis

Yin, H. and Allinson, Nigel (1993) Stochastic analysis and comparison of Kohonen SOM with optimal filter. In: Third International Conference on Artificial Neural Networks, 1993, 25-27 May 1993, Brighton.

Annealing

Tereshko, Valery and Allinson, Nigel M. (2002) Combining lateral and elastic interactions: topology-preserving elastic nets. Neural Processing Letters, 15 (3). pp. 213-223. ISSN 1370-4621

Anti-Inflammatory Agents

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

Approximation theory

Allinson, Nigel and Kolcz, Aleksander (1997) A principled approach to n-tuple recognition systems. IEE Colloquium (Digest) (18). 2/1-2/10. ISSN 0963-3308

Kolcz, Aleksander and Allinson, Nigel (1999) The general memory neural network and its relationship with basis function architectures. Neurocomputing, 29 (1-3). pp. 57-84. ISSN 0925-2312

Artificial Intelligence

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

Artificial Neural Networks

Panousakis, Dimosthenis and Gazis, Andreas and Paterson, Jill and Chen, Wen-Hua and Chen, Rui and Turner, Jamie and Milovanovic, Nebosja (2006) Ion current signal interpretation via artificial neural networks for gasoline HCCI control. In: Society of Automotive Engineers World congress 2006, Cobo Centre, Detroit, MI, USA.

Bayesian methods

Yin, H. and Allinson, N. M. (1998) A self-organising mixture network for density modelling. In: The 1998 IEEE International Joint Conference on Neural Networks, 4-9 May 1998, Anchorage, USA.

Bifurcation analysis

Sen Bhattacharya, Basabdatta and Cakir, Yuksel and Serap-Sengor, Neslihan and Maguire, Liam and Coyle, Damien (2013) Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease. Neurocomputing, 115 . pp. 11-22. ISSN 0925-2312

Binary Patterns

Appiah, Kofi and Hunter, Andrew and Meng, Hongying and Yue, Shigang and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2009) A binary self-organizing map and its FPGA implementation. In: IEEE International Joint Conference on Neural Networks, June 14-29, 2009, Westin PeachTree Hotel, in Atlanta, Georgia.

Bio-inspired vision chip

Meng, Hongying and Appiah, Kofi and Yue, Shigang and Hunter, Andrew and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2010) A modified model for the Lobula Giant Movement Detector and its FPGA implementation. Computer vision and image understanding, 114 (11). pp. 1238-1247. ISSN 1077-3142

CMAC

Kolcz, A. and Allinson, N. M. (1994) Application of the CMAC input encoding scheme in the N-tuple approximation network. IEE Proceedings - Computers and Digital Techniques, 141 (3). pp. 177-183. ISSN UNSPECIFIED

Codes (symbols)

Kolez, Aleksander and Allinson, Nigel (1993) Realisation of a modified CMAC architecture using reconfigurable logic devices. In: 3rd Workshop on Neural Networks: Academic/Industrial/NASA/Defense, 10-12 February 1992, Alabama, AL, USA.

Computational complexity

Allinson, Nigel and Kolcz, Aleksander (1997) A principled approach to n-tuple recognition systems. IEE Colloquium (Digest) (18). 2/1-2/10. ISSN 0963-3308

Computer Architecture--Reduced Instruction Set Computing

Luckman, Adrian and Allinson, Nigel (1989) Modelling peripheral pre-attention and foveal fixation for search directed machine vision systems. In: Automated Inspection and High-Speed Vision Architectures III, 6-7 November 1989, Philadelphia, PA, USA.

Computer architecture

Kolcz, Aleksander and Allinson, Nigel (1999) The general memory neural network and its relationship with basis function architectures. Neurocomputing, 29 (1-3). pp. 57-84. ISSN 0925-2312

Computer hardware

Kolez, Aleksander and Allinson, Nigel (1993) Realisation of a modified CMAC architecture using reconfigurable logic devices. In: 3rd Workshop on Neural Networks: Academic/Industrial/NASA/Defense, 10-12 February 1992, Alabama, AL, USA.

Computer simulation

Allinson, Nigel and Kolcz, Aleksander (1997) A principled approach to n-tuple recognition systems. IEE Colloquium (Digest) (18). 2/1-2/10. ISSN 0963-3308

Computer vision

Meng, Hongying and Yue, Shigang and Hunter, Andrew and Appiah, Kofi and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2009) A modified neural network model for Lobula Giant Movement Detector with additional depth movement feature. In: IEEE International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, USA..

Conformal mapping

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

Conventional computers

Allinson, Nigel M. (1990) Neurons, N-tuples and faces. Computing and Control Engineering, 1 (4). pp. 173-183. ISSN 0956-3385

Cross-correlation

Murray, John C. and Erwin, Harry R. and Wermter, Stefan (2009) Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks, 22 (2). pp. 173-189. ISSN 0893-6080

Custom VLSI devices

Allinson, Nigel M. (1990) Neurons, N-tuples and faces. Computing and Control Engineering, 1 (4). pp. 173-183. ISSN 0956-3385

Data storage equipment

Kolcz, Aleksander and Allinson, Nigel (1999) The general memory neural network and its relationship with basis function architectures. Neurocomputing, 29 (1-3). pp. 57-84. ISSN 0925-2312

Digital signal processing

Meng, Hongying and Appiah, Kofi and Hunter, Andrew and Yue, Shigang and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2009) A modified sparse distributed memory model for extracting clean patterns from noisy inputs. In: IEEE International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, USA..

Electroencephalogram

Coyle, Damien and Sen Bhattacharya, Basabdatta and Zou, X. and Wong-Lin, K. and Abuhassan, K. and Maguire, L. (2013) Neural circuit models and neuropathological oscillations. In: Handbook of bio- and neuro-informatics. Springer Verlag. ISBN 9783642305733

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2011) Alpha and theta rhythm abnormality in Alzheimer's disease: a study using a computational model. In: From brains to systems. Advances in Experimental Medicine and Biology, 718 . Springer, New York, pp. 57-73. ISBN 9781461401643

Electroencephalography

Sen Bhattacharya, Basabdatta and Cakir, Yuksel and Serap-Sengor, Neslihan and Maguire, Liam and Coyle, Damien (2013) Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease. Neurocomputing, 115 . pp. 11-22. ISSN 0925-2312

Embedded vision

Meng, Hongying and Appiah, Kofi and Yue, Shigang and Hunter, Andrew and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2010) A modified model for the Lobula Giant Movement Detector and its FPGA implementation. Computer vision and image understanding, 114 (11). pp. 1238-1247. ISSN 1077-3142

Equivalence classes

Kolcz, Aleksander and Allinson, Nigel (1999) The general memory neural network and its relationship with basis function architectures. Neurocomputing, 29 (1-3). pp. 57-84. ISSN 0925-2312

Event-related-(de)synchronisation

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2012) Assessing alpha band event-related synchronisation/desynchronisation with a mutually coupled thalamo-cortical circuitry model. Journal of Universal Computer Science, 18 (13). pp. 1888-1904. ISSN 0948-695X

FPGA

Appiah, Kofi and Hunter, Andrew and Dickinson, Patrick and Kluge, Tino and Aiken, Philip (2009) FPGA-based anomalous trajectory detection using SOFM. In: Applied Reconfigurable Computing (ARC) Workshop, 16th - 18th March 2009, Karlsruhe Institut of Technology (KIT), Germany.

Appiah, Kofi and Hunter, Andrew and Meng, Hongying and Yue, Shigang and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2009) A binary self-organizing map and its FPGA implementation. In: IEEE International Joint Conference on Neural Networks, June 14-29, 2009, Westin PeachTree Hotel, in Atlanta, Georgia.

Howard, Neil J. and Tyrrell, Andrew M. and Allinson, Nigel M. (1996) The use of field-programmable gate arrays for the hardware acceleration of design automation tasks. VLSI Design, 4 (2). pp. 135-139. ISSN 1065-514X

Meng, Hongying and Appiah, Kofi and Yue, Shigang and Hunter, Andrew and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2010) A modified model for the Lobula Giant Movement Detector and its FPGA implementation. Computer vision and image understanding, 114 (11). pp. 1238-1247. ISSN 1077-3142

Facial features

Allinson, Nigel M. (1990) Neurons, N-tuples and faces. Computing and Control Engineering, 1 (4). pp. 173-183. ISSN 0956-3385

Feature selection

Emmanouilidis, Christos and Hunter, Andrew and MacIntyre, John (2000) A multiobjective evolutionary setting for feature selection and a commonality-based crossover operator. In: 2000 Congress on Evolutionary Computation, 16th-19th July 2000, La Jolla, CA, USA.

Hunter, Andrew (2000) Feature selection using genetic algorithms and probabilistic neural networks. Neural Computing & Applications, 9 (2). pp. 124-132. ISSN 0941-0643

Field-Programmable Gate Arrays

Howard, Neil J. and Tyrrell, Andrew M. and Allinson, Nigel M. (1996) The use of field-programmable gate arrays for the hardware acceleration of design automation tasks. VLSI Design, 4 (2). pp. 135-139. ISSN 1065-514X

Free energy

Tereshko, Valery and Allinson, Nigel M. (2002) Combining lateral and elastic interactions: topology-preserving elastic nets. Neural Processing Letters, 15 (3). pp. 213-223. ISSN 1370-4621

Function evaluation

Allinson, Nigel and Kolcz, Aleksander (1997) A principled approach to n-tuple recognition systems. IEE Colloquium (Digest) (18). 2/1-2/10. ISSN 0963-3308

Functions

Kolcz, Aleksander and Allinson, Nigel (1999) The general memory neural network and its relationship with basis function architectures. Neurocomputing, 29 (1-3). pp. 57-84. ISSN 0925-2312

GABA

sen Bhattacharya, Basabdatta (2013) Implementing the cellular mechanisms of synaptic transmission in a neural mass model of the thalamocortical circuitry. Frontiers in Computational Neuroscience, 7 (81). ISSN 1662-5188

Ganglion cell

Sen Bhattacharya, Basabdatta and Furber, Steve (2010) Biologically-inspired means for rank-order encoding images: a quantitative analysis. IEEE Transactions on Neural Networks, 21 (7). pp. 1087-1099. ISSN 1045-9227

Gaussian distribution

Yin, H. and Allinson, N. M. (1998) A self-organising mixture network for density modelling. In: The 1998 IEEE International Joint Conference on Neural Networks, 4-9 May 1998, Anchorage, USA.

General memory neural network

Kolcz, Aleksander and Allinson, Nigel (1999) The general memory neural network and its relationship with basis function architectures. Neurocomputing, 29 (1-3). pp. 57-84. ISSN 0925-2312

Genetic Programming

Hunter, Andrew (2002) Using Multiobjective Genetic Programming to Infer Logistic Polynomial Regression Models [and] Experimental Supplement. In: 15th European Conference on Artificial Intelligence 2002, 21-26 July 2002, Lyon, France.

Genetic algorithms

Hunter, Andrew (2000) Feature selection using genetic algorithms and probabilistic neural networks. Neural Computing & Applications, 9 (2). pp. 124-132. ISSN 0941-0643

Grey Scale Images

Johnson, Martin and Allinson, Nigel (1989) Implementation of a variable cluster self organising algorithm for high speed unsupervised pattern classification (lost in {0, 1}N space). In: Automated Inspection and High-Speed Vision Architectures III, 6-7 November 1989, Philadelphia, PA, USA.

HCCI Combustion

Panousakis, Dimosthenis and Gazis, Andreas and Paterson, Jill and Chen, Wen-Hua and Chen, Rui and Turner, Jamie and Milovanovic, Nebosja (2006) Ion current signal interpretation via artificial neural networks for gasoline HCCI control. In: Society of Automotive Engineers World congress 2006, Cobo Centre, Detroit, MI, USA.

Human–robot interaction

Murray, John C. and Erwin, Harry R. and Wermter, Stefan (2009) Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks, 22 (2). pp. 173-189. ISSN 0893-6080

Image Processing

Meng, Hongying and Yue, Shigang and Hunter, Andrew and Appiah, Kofi and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2009) A modified neural network model for Lobula Giant Movement Detector with additional depth movement feature. In: IEEE International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, USA..

Image Processing--Image Analysis

Martins, W. and Allinson, Nigel (1991) Visual search of postal codes by neural networks using human examples. In: Second International Conference on Artificial Neural Networks, 18-20 November 1991, Bournemouth.

Image Processing--Reconstruction

Johnson, Martin and Allinson, Nigel (1989) Implementation of a variable cluster self organising algorithm for high speed unsupervised pattern classification (lost in {0, 1}N space). In: Automated Inspection and High-Speed Vision Architectures III, 6-7 November 1989, Philadelphia, PA, USA.

Inherent parallelism

Allinson, Nigel M. (1990) Neurons, N-tuples and faces. Computing and Control Engineering, 1 (4). pp. 173-183. ISSN 0956-3385

Ion Current Sensing

Panousakis, Dimosthenis and Gazis, Andreas and Paterson, Jill and Chen, Wen-Hua and Chen, Rui and Turner, Jamie and Milovanovic, Nebosja (2006) Ion current signal interpretation via artificial neural networks for gasoline HCCI control. In: Society of Automotive Engineers World congress 2006, Cobo Centre, Detroit, MI, USA.

Kalman filtering

Yin, H. and Allinson, Nigel (1993) Stochastic analysis and comparison of Kohonen SOM with optimal filter. In: Third International Conference on Artificial Neural Networks, 1993, 25-27 May 1993, Brighton.

Kernel regression networks, Neural networks, article

Kolcz, Aleksander and Allinson, Nigel (1999) The general memory neural network and its relationship with basis function architectures. Neurocomputing, 29 (1-3). pp. 57-84. ISSN 0925-2312

Kohonen Algorithm

Johnson, Martin and Allinson, Nigel (1989) Implementation of a variable cluster self organising algorithm for high speed unsupervised pattern classification (lost in {0, 1}N space). In: Automated Inspection and High-Speed Vision Architectures III, 6-7 November 1989, Philadelphia, PA, USA.

Kohonen Neural Network

Luckman, Adrian and Allinson, Nigel (1989) Modelling peripheral pre-attention and foveal fixation for search directed machine vision systems. In: Automated Inspection and High-Speed Vision Architectures III, 6-7 November 1989, Philadelphia, PA, USA.

Kohonen self organizing map

Yin, H. and Allinson, Nigel (1993) Stochastic analysis and comparison of Kohonen SOM with optimal filter. In: Third International Conference on Artificial Neural Networks, 1993, 25-27 May 1993, Brighton.

LGMD

Yue, Shigang and Rind, Claire (2012) Visually stimulated motor control for a robot with a pair of LGMD visual neural networks. International Journal of Advanced Mechatronic Systems, 4 (5/6). pp. 237-247. ISSN 1756-8412

Learning by Example

Luckman, Adrian and Allinson, Nigel (1989) Modelling peripheral pre-attention and foveal fixation for search directed machine vision systems. In: Automated Inspection and High-Speed Vision Architectures III, 6-7 November 1989, Philadelphia, PA, USA.

Learning systems

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

Tereshko, Valery and Allinson, Nigel M. (2002) Combining lateral and elastic interactions: topology-preserving elastic nets. Neural Processing Letters, 15 (3). pp. 213-223. ISSN 1370-4621

Learning systems, Basis functions

Kolcz, Aleksander and Allinson, Nigel (1999) The general memory neural network and its relationship with basis function architectures. Neurocomputing, 29 (1-3). pp. 57-84. ISSN 0925-2312

Local receptive fields

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

Logic devices

Kolez, Aleksander and Allinson, Nigel (1993) Realisation of a modified CMAC architecture using reconfigurable logic devices. In: 3rd Workshop on Neural Networks: Academic/Industrial/NASA/Defense, 10-12 February 1992, Alabama, AL, USA.

Machine Learning

Jayne, Crisina and Yue, Shigang and Iliadis, Lazaros (2012) Engineering applications of neural networks. Communications in computer and information science, 311 . Springer, Heidelberg. ISBN 9783642329081 (print), 9783642329098 (ebook)

Mathematical techniques, Central limit theorem

Yin, H. and Allinson, Nigel (1993) Stochastic analysis and comparison of Kohonen SOM with optimal filter. In: Third International Conference on Artificial Neural Networks, 1993, 25-27 May 1993, Brighton.

Memory

Meng, Hongying and Appiah, Kofi and Hunter, Andrew and Yue, Shigang and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2009) A modified sparse distributed memory model for extracting clean patterns from noisy inputs. In: IEEE International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, USA..

Microfluidic Analytical Techniques

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

Mobile Robots

Murray, John C. and Erwin, Harry R. (2011) A neural network classifier for notch filter classification of sound-source elevation in a mobile robot. In: Neural Networks (IJCNN), The 2011 International Joint Conference on, July 31 2011-Aug. 5 2011, San Jose, CA.

Models, Chemical

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

Models, Statistical

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

Multiobjective evolutionary algorithm

Emmanouilidis, Christos and Hunter, Andrew and MacIntyre, John (2000) A multiobjective evolutionary setting for feature selection and a commonality-based crossover operator. In: 2000 Congress on Evolutionary Computation, 16th-19th July 2000, La Jolla, CA, USA.

N tuple regression network

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

N tuple sampling

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

N-tuple networks

Kolcz, A. and Allinson, N. M. (1994) Application of the CMAC input encoding scheme in the N-tuple approximation network. IEE Proceedings - Computers and Digital Techniques, 141 (3). pp. 177-183. ISSN UNSPECIFIED

N-tuple neural networks

Allinson, N. M. and Kolcz, A. (1977) A principled approach to N-tuple recognition systems. In: IEE Colloquium on Pattern Recognition, 26 February 1997, London.

N-tuple techniques

Allinson, Nigel M. (1990) Neurons, N-tuples and faces. Computing and Control Engineering, 1 (4). pp. 173-183. ISSN 0956-3385

Kolcz, A. and Allinson, N. M. (1994) Euclidean input mapping in a N-tuple approximation network. In: 1994 Sixth IEEE Digital Signal Processing Workshop, 2-5 October 1994, Yosemite National Park, CA, USA.

Natural computation

Yue, Shigang and Wei, Hua-Liang and Li, Maozhen and Liang, Qilian and Wang, Lipo (2011) ICNC-FSKD 2010 special issue on computers & mathematics in natural computation and knowledge discovery. Computers and Mathematics with Applications, 62 (7). pp. 2683-2684. ISSN 0898-1221

Neural Computing

Allinson, Nigel M. (1990) Neurons, N-tuples and faces. Computing and Control Engineering, 1 (4). pp. 173-183. ISSN 0956-3385

Neural Computing, Neural Networks

Allinson, Nigel (1991) European neural network initiatives and recent trends in Europe. In: 1991 IEEE International Joint Conference on Neural Networks (IJCNN'91), 18-21 November 1991, Singapore.

Neural Networks

Hunter, Andrew (2002) Using Multiobjective Genetic Programming to Infer Logistic Polynomial Regression Models [and] Experimental Supplement. In: 15th European Conference on Artificial Intelligence 2002, 21-26 July 2002, Lyon, France.

Luckman, Adrian and Allinson, Nigel (1989) Modelling peripheral pre-attention and foveal fixation for search directed machine vision systems. In: Automated Inspection and High-Speed Vision Architectures III, 6-7 November 1989, Philadelphia, PA, USA.

Neural Networks (Computer)

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

Neural Networks - United Kingdom, European Community

Allinson, Nigel (1991) European neural network initiatives and recent trends in Europe. In: 1991 IEEE International Joint Conference on Neural Networks (IJCNN'91), 18-21 November 1991, Singapore.

Neural Networks, Binary Space

Johnson, Martin and Allinson, Nigel (1989) Implementation of a variable cluster self organising algorithm for high speed unsupervised pattern classification (lost in {0, 1}N space). In: Automated Inspection and High-Speed Vision Architectures III, 6-7 November 1989, Philadelphia, PA, USA.

Neural mass model

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam P. (2011) A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease. Neural Networks, 24 (6). pp. 631-645. ISSN 0893-6080

Neural mass models

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2011) Alpha and theta rhythm abnormality in Alzheimer's disease: a study using a computational model. In: From brains to systems. Advances in Experimental Medicine and Biology, 718 . Springer, New York, pp. 57-73. ISBN 9781461401643

Neural models

Coyle, Damien and Sen Bhattacharya, Basabdatta and Zou, X. and Wong-Lin, K. and Abuhassan, K. and Maguire, L. (2013) Neural circuit models and neuropathological oscillations. In: Handbook of bio- and neuro-informatics. Springer Verlag. ISBN 9783642305733

Neural nets

Bulpitt, A. J. and Allinson, N. M. (1991) Motion perception and recognition using moving light displays. In: Second International Conference on Artificial Neural Networks, 18-20 November 1991, Bournemouth.

Neural networks

Emmanouilidis, Christos and Hunter, Andrew and MacIntyre, John (2000) A multiobjective evolutionary setting for feature selection and a commonality-based crossover operator. In: 2000 Congress on Evolutionary Computation, 16th-19th July 2000, La Jolla, CA, USA.

Hunter, Andrew (2000) Training feedforward neural networks using orthogonal iteration of the Hessian eigenvectors. In: International Joint Conference of Neural Networks, 24-27 July 2000, Como, Italy.

Hunter, Andrew and Kennedy, Richard Lee (2002) A Pareto Self-Organizing Map. In: International Conference on Artificial Neural Networks, 27-30 August 2002, Madrid, Spain.

Jayne, Chrisina and Yue, Shigang and Iliadis, Lazaros (2012) Engineering Applications of Neural Networks: 13th International Conference, EANN 2012 London, UK, September 20-23, 2012 Proceedings. In: 13th International Conference, EANN 2012, 20 - 23 September 2012, London, UK.

Jayne, Crisina and Yue, Shigang and Iliadis, Lazaros (2012) Engineering applications of neural networks. Communications in computer and information science, 311 . Springer, Heidelberg. ISBN 9783642329081 (print), 9783642329098 (ebook)

Kolez, Aleksander and Allinson, Nigel (1993) Realisation of a modified CMAC architecture using reconfigurable logic devices. In: 3rd Workshop on Neural Networks: Academic/Industrial/NASA/Defense, 10-12 February 1992, Alabama, AL, USA.

Meng, Hongying and Appiah, Kofi and Hunter, Andrew and Yue, Shigang and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2009) A modified sparse distributed memory model for extracting clean patterns from noisy inputs. In: IEEE International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, USA..

Meng, Hongying and Appiah, Kofi and Yue, Shigang and Hunter, Andrew and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2010) A modified model for the Lobula Giant Movement Detector and its FPGA implementation. Computer vision and image understanding, 114 (11). pp. 1238-1247. ISSN 1077-3142

Meng, Hongying and Yue, Shigang and Hunter, Andrew and Appiah, Kofi and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2009) A modified neural network model for Lobula Giant Movement Detector with additional depth movement feature. In: IEEE International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, USA..

Neurons

Allinson, Nigel M. (1990) Neurons, N-tuples and faces. Computing and Control Engineering, 1 (4). pp. 173-183. ISSN 0956-3385

Non parametric estimation

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

Non-linear classifiers

Hunter, Andrew (2002) Using Multiobjective Genetic Programming to Infer Logistic Polynomial Regression Models [and] Experimental Supplement. In: 15th European Conference on Artificial Intelligence 2002, 21-26 July 2002, Lyon, France.

Optimization

Tereshko, Valery and Allinson, Nigel M. (2002) Combining lateral and elastic interactions: topology-preserving elastic nets. Neural Processing Letters, 15 (3). pp. 213-223. ISSN 1370-4621

Parameter estimation

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

Pareto

Hunter, Andrew and Kennedy, Richard Lee (2002) A Pareto Self-Organizing Map. In: International Conference on Artificial Neural Networks, 27-30 August 2002, Madrid, Spain.

Pattern Classification

Johnson, Martin and Allinson, Nigel (1989) Implementation of a variable cluster self organising algorithm for high speed unsupervised pattern classification (lost in {0, 1}N space). In: Automated Inspection and High-Speed Vision Architectures III, 6-7 November 1989, Philadelphia, PA, USA.

Pattern Recognition, Neural Network-Based Systems, Neural Networks

Martins, W. and Allinson, Nigel (1991) Visual search of postal codes by neural networks using human examples. In: Second International Conference on Artificial Neural Networks, 18-20 November 1991, Bournemouth.

Pattern classifiers

Allinson, Nigel M. (1990) Neurons, N-tuples and faces. Computing and Control Engineering, 1 (4). pp. 173-183. ISSN 0956-3385

Pattern recognition

Bulpitt, A. J. and Allinson, N. M. (1991) Motion perception and recognition using moving light displays. In: Second International Conference on Artificial Neural Networks, 18-20 November 1991, Bournemouth.

Meng, Hongying and Appiah, Kofi and Hunter, Andrew and Yue, Shigang and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2009) A modified sparse distributed memory model for extracting clean patterns from noisy inputs. In: IEEE International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, USA..

Perception

Southwell, D. and Allinson, Nigel (1991) Adaptive cortex modelling engine. ACME. An approach to perception. In: 2nd International Conference on Artificial Neural Networks, 18-20 November 1991, London.

Polynomial Modelling

Hunter, Andrew (2002) Using Multiobjective Genetic Programming to Infer Logistic Polynomial Regression Models [and] Experimental Supplement. In: 15th European Conference on Artificial Intelligence 2002, 21-26 July 2002, Lyon, France.

Probabalistic neural networks

Hunter, Andrew (2000) Feature selection using genetic algorithms and probabilistic neural networks. Neural Computing & Applications, 9 (2). pp. 124-132. ISSN 0941-0643

Probability density function

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

RAM

Kolez, Aleksander and Allinson, Nigel (1993) Realisation of a modified CMAC architecture using reconfigurable logic devices. In: 3rd Workshop on Neural Networks: Academic/Industrial/NASA/Defense, 10-12 February 1992, Alabama, AL, USA.

Random access storage

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

Random access storage based neural networks

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

Random access storage, CMAC architecture Reconfigurable logic devices, Computer architecture

Kolez, Aleksander and Allinson, Nigel (1993) Realisation of a modified CMAC architecture using reconfigurable logic devices. In: 3rd Workshop on Neural Networks: Academic/Industrial/NASA/Defense, 10-12 February 1992, Alabama, AL, USA.

Real-time application

Allinson, Nigel M. (1990) Neurons, N-tuples and faces. Computing and Control Engineering, 1 (4). pp. 173-183. ISSN 0956-3385

Recurrent neural networks

Murray, John C. and Erwin, Harry R. and Wermter, Stefan (2009) Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks, 22 (2). pp. 173-189. ISSN 0893-6080

Regression analysis, N tuple recognition systems, Pattern recognition systems

Allinson, Nigel and Kolcz, Aleksander (1997) A principled approach to n-tuple recognition systems. IEE Colloquium (Digest) (18). 2/1-2/10. ISSN 0963-3308

Regression equation, Neural networks, article

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

Robotics

Murray, John C. and Erwin, Harry R. and Wermter, Stefan (2009) Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks, 22 (2). pp. 173-189. ISSN 0893-6080

SDM

Meng, Hongying and Appiah, Kofi and Hunter, Andrew and Yue, Shigang and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2009) A modified sparse distributed memory model for extracting clean patterns from noisy inputs. In: IEEE International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, USA..

SOFM

Hunter, Andrew and Kennedy, Richard Lee (2002) A Pareto Self-Organizing Map. In: International Conference on Artificial Neural Networks, 27-30 August 2002, Madrid, Spain.

SOM

Appiah, Kofi and Hunter, Andrew and Meng, Hongying and Yue, Shigang and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2009) A binary self-organizing map and its FPGA implementation. In: IEEE International Joint Conference on Neural Networks, June 14-29, 2009, Westin PeachTree Hotel, in Atlanta, Georgia.

Sampling, Basis functions

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

Self Organizing Feature Map

Appiah, Kofi and Hunter, Andrew and Dickinson, Patrick and Kluge, Tino and Aiken, Philip (2009) FPGA-based anomalous trajectory detection using SOFM. In: Applied Reconfigurable Computing (ARC) Workshop, 16th - 18th March 2009, Karlsruhe Institut of Technology (KIT), Germany.

Self-Organising Map

Hunter, Andrew and Kennedy, Richard Lee (2002) A Pareto Self-Organizing Map. In: International Conference on Artificial Neural Networks, 27-30 August 2002, Madrid, Spain.

Self-Organizing Algorithm

Johnson, Martin and Allinson, Nigel (1989) Implementation of a variable cluster self organising algorithm for high speed unsupervised pattern classification (lost in {0, 1}N space). In: Automated Inspection and High-Speed Vision Architectures III, 6-7 November 1989, Philadelphia, PA, USA.

Signal Processing--Correlation Detectors, Temporal Information, Neural Networks

Southwell, D. and Allinson, Nigel (1991) Adaptive cortex modelling engine. ACME. An approach to perception. In: 2nd International Conference on Artificial Neural Networks, 18-20 November 1991, London.

Solubility

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

Sound-source localisation

Murray, John C. and Erwin, Harry R. and Wermter, Stefan (2009) Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks, 22 (2). pp. 173-189. ISSN 0893-6080

Statistical mechanics, Elastic nets, Neural networks

Tereshko, Valery and Allinson, Nigel M. (2002) Combining lateral and elastic interactions: topology-preserving elastic nets. Neural Processing Letters, 15 (3). pp. 213-223. ISSN 1370-4621

Stochastic analysis, Neural networks

Yin, H. and Allinson, Nigel (1993) Stochastic analysis and comparison of Kohonen SOM with optimal filter. In: Third International Conference on Artificial Neural Networks, 1993, 25-27 May 1993, Brighton.

Swarm Intelligence

Yue, Shigang and Wei, Hua-Liang and Li, Maozhen and Liang, Qilian and Wang, Lipo (2011) ICNC-FSKD 2010 special issue on computers & mathematics in natural computation and knowledge discovery. Computers and Mathematics with Applications, 62 (7). pp. 2683-2684. ISSN 0898-1221

Thalamocortical circuitry

Sen Bhattacharya, Basabdatta and Cakir, Yuksel and Serap-Sengor, Neslihan and Maguire, Liam and Coyle, Damien (2013) Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease. Neurocomputing, 115 . pp. 11-22. ISSN 0925-2312

Training Algorithm, Image Storage, Digital

Johnson, Martin and Allinson, Nigel (1989) Implementation of a variable cluster self organising algorithm for high speed unsupervised pattern classification (lost in {0, 1}N space). In: Automated Inspection and High-Speed Vision Architectures III, 6-7 November 1989, Philadelphia, PA, USA.

Trajectory detection

Appiah, Kofi and Hunter, Andrew and Dickinson, Patrick and Kluge, Tino and Aiken, Philip (2009) FPGA-based anomalous trajectory detection using SOFM. In: Applied Reconfigurable Computing (ARC) Workshop, 16th - 18th March 2009, Karlsruhe Institut of Technology (KIT), Germany.

Vision, Human Visual Processing

Luckman, Adrian and Allinson, Nigel (1989) Modelling peripheral pre-attention and foveal fixation for search directed machine vision systems. In: Automated Inspection and High-Speed Vision Architectures III, 6-7 November 1989, Philadelphia, PA, USA.

Visual Search Pattern, Computer Vision

Luckman, Adrian and Allinson, Nigel (1989) Modelling peripheral pre-attention and foveal fixation for search directed machine vision systems. In: Automated Inspection and High-Speed Vision Architectures III, 6-7 November 1989, Philadelphia, PA, USA.

Visual motion

Meng, Hongying and Appiah, Kofi and Yue, Shigang and Hunter, Andrew and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2010) A modified model for the Lobula Giant Movement Detector and its FPGA implementation. Computer vision and image understanding, 114 (11). pp. 1238-1247. ISSN 1077-3142

adaptive systems

Johnson, M. and Brown, M. and Allinson, N. M. (1990) Multidimensional self organisation. In: Cellular Neural Networks and their Applications, 1990. CNNA-90, 16-19 December 1990, Budapest.

algorithm

Addison, J. F. Dale and Hunter, Andrew and Bass, Jeremy and Rebbeck, Matt (2000) A neural network version of the measure correlate predict algorithm for estimating wind energy yield. In: 13th International Congress on Condition Monitoring and Diagnostic Engineering Management, 3-8 December, 2000, Houston, USA.

Swann, A. and Allinson, N. (1998) Fast committee learning: preliminary results. Electronics Letters, 34 (14). pp. 1408-1410. ISSN 1013-5194

algorithms

Yin, H. and Allinson, N. M. (1998) A self-organising mixture network for density modelling. In: The 1998 IEEE International Joint Conference on Neural Networks, 4-9 May 1998, Anchorage, USA.

alpha rhythm

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam and Stewart, Jill (2012) Kinetic modelling of synaptic functions in the alpha rhythm neural mass model. In: International Conference on Artificial Neural Networks (ICANN), 11-14 September 2012, Lausanne, Switzerland.

sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2010) A computational modelling approach to investigate alpha rhythm slowing associated with Alzheimer’s disease. In: BICS 2010, 14-16 July 2010, Madrid, Spain.

alpha rhythms

Coyle, Damien and Sen Bhattacharya, Basabdatta and Zou, X. and Wong-Lin, K. and Abuhassan, K. and Maguire, L. (2013) Neural circuit models and neuropathological oscillations. In: Handbook of bio- and neuro-informatics. Springer Verlag. ISBN 9783642305733

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2011) Assessing retino-geniculo-cortical connectivities in Alzheimer’s disease with a neural mass model. In: IEEE Symposium Series on Computational Intelligence: Cognitive Algorithms, Mind and Brain, April 2011, Paris.

alpha rhythms; thalamocortical circuitry; Alzheimer's disease

sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2010) Thalamocortical circuitry and alpha rhythm slowing: an empirical study based on a classic computational model. In: IJCNN 2010, 18-23 July 2010, Barcelona.

artificial intelligence

Kolcz, Aleksander and Allinson, Nigel (1999) The general memory neural network and its relationship with basis function architectures. Neurocomputing, 29 (1-3). pp. 57-84. ISSN 0925-2312

artificial neural network

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

Kolcz, Aleksander and Allinson, Nigel (1999) The general memory neural network and its relationship with basis function architectures. Neurocomputing, 29 (1-3). pp. 57-84. ISSN 0925-2312

autonomous detector

Appiah, Kofi and Hunter, Andrew and Dickinson, Patrick and Kluge, Tino and Aiken, Philip (2009) FPGA-based anomalous trajectory detection using SOFM. In: Applied Reconfigurable Computing (ARC) Workshop, 16th - 18th March 2009, Karlsruhe Institut of Technology (KIT), Germany.

bmjdoi

Kolcz, A. and Allinson, N. M. (1994) Application of the CMAC input encoding scheme in the N-tuple approximation network. IEE Proceedings - Computers and Digital Techniques, 141 (3). pp. 177-183. ISSN UNSPECIFIED

bmjexample

Graham, D. B. and Allinson, N. M. (1999) Norm2-based face recognition. In: IEEE computer Society Conference on Computer Vision and Pattern Recognition 1999, 23-25 June 1999, Fort Collins, CO.

bmjtype

Jayne, Chrisina and Yue, Shigang and Iliadis, Lazaros (2012) Engineering Applications of Neural Networks: 13th International Conference, EANN 2012 London, UK, September 20-23, 2012 Proceedings. In: 13th International Conference, EANN 2012, 20 - 23 September 2012, London, UK.

brain oscillations

Sen Bhattacharya, Basabdatta and Serap Sengor, Neslihan and Cakir, Yuksel and Maguire, Liam and Coyle, Damien (2014) Spectral and non-linear analysis of thalamocortical neural mass model oscillatory dynamics. In: Advanced computational approaches to biomedical engineering. Springer Verlag, pp. 87-112. ISBN UNSPECIFIED

sen Bhattacharya, Basabdatta (2013) Implementing the cellular mechanisms of synaptic transmission in a neural mass model of the thalamocortical circuitry. Frontiers in Computational Neuroscience, 7 (81). ISSN 1662-5188

sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2011) Synaptic deficiency in Alzheimer disease and its implications on thalamic and cortical oscillations: a study using a neural mass model. In: 11th UKCI workshop, 7th-9th September 2011, Manchester.

cellular automata

Howard, Neil and Taylor, Richard and Allinson, Nigel (1992) The design and implementation of a massively-parallel fuzzy architecture. In: IEEE International Conference on Fuzzy Systems, 1992, 8-12 March 1992, San Diego, California, USA.

chromosome aberrations

Turner, M. and Austin, J. and Allinson, Nigel and Thompson, P. (1993) Chromosomelocation and feature extraction using neural networks. Image and Vision Computing, 11 (4). pp. 235-239. ISSN 0262-8856

coding

Kolcz, A. and Allinson, N. M. (1994) Application of the CMAC input encoding scheme in the N-tuple approximation network. IEE Proceedings - Computers and Digital Techniques, 141 (3). pp. 177-183. ISSN UNSPECIFIED

cognitive system

Allinson, N. M. and Ellis, A. W. (1992) Face recognition: combining cognitive psychology and image engineering. IEE Electronics and Communication Engineering Journal, 4 (5). pp. 291-300. ISSN UNSPECIFIED

collision

Yue, Shigang and Rind, F. Claire (2013) Postsynaptic organizations of directional selective visual neural networks for collision detection. Neurocomputing, 103 . pp. 50-62. ISSN 0925-2312

computer program

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

Kolcz, Aleksander and Allinson, Nigel (1999) The general memory neural network and its relationship with basis function architectures. Neurocomputing, 29 (1-3). pp. 57-84. ISSN 0925-2312

computer system

Kolcz, Aleksander and Allinson, Nigel (1999) The general memory neural network and its relationship with basis function architectures. Neurocomputing, 29 (1-3). pp. 57-84. ISSN 0925-2312

computer vision

Munkevik , Per and Hall, Gunnar and Duckett, Tom (2007) A computer vision system for appearance-based descriptive sensory evaluation of meals. Journal of Food Engineering, 78 (1). pp. 246-256. ISSN 0260-8774

convergence

Yin, H. and Allinson, N. M. (1998) A self-organising mixture network for density modelling. In: The 1998 IEEE International Joint Conference on Neural Networks, 4-9 May 1998, Anchorage, USA.

data mapping

Allinson, N. M. and Yin, Hujun (1998) Interactive and semantic data visualisation using self-organising maps. In: IEE Colloquium on Neural Networks in Interactive Multimedia Systems (Ref No 1998/446), 22 October 1998, London.

data mining

Allinson, N. M. and Yin, Hujun (1998) Interactive and semantic data visualisation using self-organising maps. In: IEE Colloquium on Neural Networks in Interactive Multimedia Systems (Ref No 1998/446), 22 October 1998, London.

data visualisation

Allinson, N. M. and Yin, Hujun (1998) Interactive and semantic data visualisation using self-organising maps. In: IEE Colloquium on Neural Networks in Interactive Multimedia Systems (Ref No 1998/446), 22 October 1998, London.

directional selective neuron

Yue, Shigang and Rind, F. Claire (2013) Postsynaptic organizations of directional selective visual neural networks for collision detection. Neurocomputing, 103 . pp. 50-62. ISSN 0925-2312

discrete wavelet transforms

Ferguson, K.L. and Allinson, N.M. (1999) Rate constrained self-organzing neural maps and efficient psychovisual methods for low bit rate video coding. In: Neural Networks for Signal Processing IX, 1999, 23-25 August 1999, Madison, WI, USA.

drug delivery system

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

drug solubility

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

electroencephalogram

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2011) Assessing retino-geniculo-cortical connectivities in Alzheimer’s disease with a neural mass model. In: IEEE Symposium Series on Computational Intelligence: Cognitive Algorithms, Mind and Brain, April 2011, Paris.

entropy

Ferguson, K.L. and Allinson, N.M. (1999) Rate constrained self-organzing neural maps and efficient psychovisual methods for low bit rate video coding. In: Neural Networks for Signal Processing IX, 1999, 23-25 August 1999, Madison, WI, USA.

event-related (de )synchronisation; focal-ERD/surround-ERS; Alzheimer's Disease; thalamocortical circuitry; lumped computational model

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2010) Intra- and inter-connectivity influences on event related changes in thalamocortical alpha rhythms. In: BIC-TA 2010, 23-26 September 2010, Liverpool, UK.

evolutionary algorithms

Yue, Shigang and Wei, Hua-Liang and Li, Maozhen and Liang, Qilian and Wang, Lipo (2011) ICNC-FSKD 2010 special issue on computers & mathematics in natural computation and knowledge discovery. Computers and Mathematics with Applications, 62 (7). pp. 2683-2684. ISSN 0898-1221

face recognition

Allinson, N. M. and Ellis, A. W. (1992) Face recognition: combining cognitive psychology and image engineering. IEE Electronics and Communication Engineering Journal, 4 (5). pp. 291-300. ISSN UNSPECIFIED

Graham, D. B. and Allinson, N. M. (1999) Norm2-based face recognition. In: IEEE computer Society Conference on Computer Vision and Pattern Recognition 1999, 23-25 June 1999, Fort Collins, CO.

fast committee learning

Swann, A. and Allinson, N. (1998) Fast committee learning: preliminary results. Electronics Letters, 34 (14). pp. 1408-1410. ISSN 1013-5194

feature extraction

Turner, M. and Austin, J. and Allinson, Nigel and Thompson, P. (1993) Chromosomelocation and feature extraction using neural networks. Image and Vision Computing, 11 (4). pp. 235-239. ISSN 0262-8856

feedforward networks

Allinson, N. M. and Merritt, D. (1991) Successful prediction of horse racing results using a neural network. In: IEE Colloquium on Neural Networks: Design Techniques and Tools, 12 March 1991, London.

feedforward neural nets

Allinson, N. M. and Ellis, A. W. (1992) Face recognition: combining cognitive psychology and image engineering. IEE Electronics and Communication Engineering Journal, 4 (5). pp. 291-300. ISSN UNSPECIFIED

filter-overlap

sen Bhattacharya, Basabdatta and Furber, Steve (2009) A biologically inspired algorithm to deal with filter-overlap in retinal models. In: Eighteenth annual Computational Neuroscience meeting CNS*2009, 18-23 July 2009, Berlin, Germany.

flow rate

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

food technology

Munkevik , Per and Hall, Gunnar and Duckett, Tom (2007) A computer vision system for appearance-based descriptive sensory evaluation of meals. Journal of Food Engineering, 78 (1). pp. 246-256. ISSN 0260-8774

foveal pit

sen Bhattacharya, Basabdatta and Furber, Steve (2009) Evaluating rank-order code performance using a biologically-derived retinal model. In: IJCNN 2010, 14-19 June 2009, Atlanta, USA.

frequency response

Ferguson, K.L. and Allinson, N.M. (1999) Rate constrained self-organzing neural maps and efficient psychovisual methods for low bit rate video coding. In: Neural Networks for Signal Processing IX, 1999, 23-25 August 1999, Madison, WI, USA.

function approximation

Kolcz, A. and Allinson, N. M. (1994) Euclidean input mapping in a N-tuple approximation network. In: 1994 Sixth IEEE Digital Signal Processing Workshop, 2-5 October 1994, Yosemite National Park, CA, USA.

fuzzy logic

Howard, Neil and Taylor, Richard and Allinson, Nigel (1992) The design and implementation of a massively-parallel fuzzy architecture. In: IEEE International Conference on Fuzzy Systems, 1992, 8-12 March 1992, San Diego, California, USA.

fuzzy systems

Yue, Shigang and Wei, Hua-Liang and Li, Maozhen and Liang, Qilian and Wang, Lipo (2011) ICNC-FSKD 2010 special issue on computers & mathematics in natural computation and knowledge discovery. Computers and Mathematics with Applications, 62 (7). pp. 2683-2684. ISSN 0898-1221

image recognition

Graham, D. B. and Allinson, N. M. (1999) Norm2-based face recognition. In: IEEE computer Society Conference on Computer Vision and Pattern Recognition 1999, 23-25 June 1999, Fort Collins, CO.

image resolution

Ferguson, K.L. and Allinson, N.M. (1999) Rate constrained self-organzing neural maps and efficient psychovisual methods for low bit rate video coding. In: Neural Networks for Signal Processing IX, 1999, 23-25 August 1999, Madison, WI, USA.

information recovery

sen Bhattacharya, Basabdatta and Furber, Steve (2008) Information recovery from rank-order encoded images. PhD thesis, University of Manchester.

interpolation

Kolcz, A. and Allinson, N. M. (1994) Euclidean input mapping in a N-tuple approximation network. In: 1994 Sixth IEEE Digital Signal Processing Workshop, 2-5 October 1994, Yosemite National Park, CA, USA.

kernel estimation

Allinson, N. M. and Kolcz, A. (1977) A principled approach to N-tuple recognition systems. In: IEE Colloquium on Pattern Recognition, 26 February 1997, London.

kinetic framework

sen Bhattacharya, Basabdatta (2013) Implementing the cellular mechanisms of synaptic transmission in a neural mass model of the thalamocortical circuitry. Frontiers in Computational Neuroscience, 7 (81). ISSN 1662-5188

kinetic modelling

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam and Stewart, Jill (2012) Kinetic modelling of synaptic functions in the alpha rhythm neural mass model. In: International Conference on Artificial Neural Networks (ICANN), 11-14 September 2012, Lausanne, Switzerland.

lateral inhibition

Sen Bhattacharya, Basabdatta and Furber, Steve (2010) Biologically-inspired means for rank-order encoding images: a quantitative analysis. IEEE Transactions on Neural Networks, 21 (7). pp. 1087-1099. ISSN 1045-9227

learning speed

Allinson, N. M. and Kolcz, A. (1977) A principled approach to N-tuple recognition systems. In: IEE Colloquium on Pattern Recognition, 26 February 1997, London.

learning systems

Johnson, M. and Brown, M. and Allinson, N. M. (1990) Multidimensional self organisation. In: Cellular Neural Networks and their Applications, 1990. CNNA-90, 16-19 December 1990, Budapest.

learning trajectory

Swann, A. and Allinson, N. (1998) Fast committee learning: preliminary results. Electronics Letters, 34 (14). pp. 1408-1410. ISSN 1013-5194

linear discriminant analysis

Graham, D. B. and Allinson, N. M. (1999) Norm2-based face recognition. In: IEEE computer Society Conference on Computer Vision and Pattern Recognition 1999, 23-25 June 1999, Fort Collins, CO.

lobula giant movement detector

Yue, Shigang and Rind, Claire (2012) Visually stimulated motor control for a robot with a pair of LGMD visual neural networks. International Journal of Advanced Mechatronic Systems, 4 (5/6). pp. 237-247. ISSN 1756-8412

locusts

Yue, Shigang and Rind, Claire (2012) Visually stimulated motor control for a robot with a pair of LGMD visual neural networks. International Journal of Advanced Mechatronic Systems, 4 (5/6). pp. 237-247. ISSN 1756-8412

measure correlate predict

Addison, J. F. Dale and Hunter, Andrew and Bass, Jeremy and Rebbeck, Matt (2000) A neural network version of the measure correlate predict algorithm for estimating wind energy yield. In: 13th International Congress on Condition Monitoring and Diagnostic Engineering Management, 3-8 December, 2000, Houston, USA.

memory architecture

Kolcz, A. and Allinson, N. M. (1995) General memory neural network-extending the properties of basis networks to RAM-based architectures. In: 1995 IEEE International Conference on Neural Networks, 27 Nov - 1 Dec 1995, Perth, WA.

microfluidics

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

mobile robot

Yue, Shigang and Rind, Claire (2012) Visually stimulated motor control for a robot with a pair of LGMD visual neural networks. International Journal of Advanced Mechatronic Systems, 4 (5/6). pp. 237-247. ISSN 1756-8412

molecular model

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

nanoparticle

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

networks

Kolcz, A. and Allinson, N. M. (1994) Application of the CMAC input encoding scheme in the N-tuple approximation network. IEE Proceedings - Computers and Digital Techniques, 141 (3). pp. 177-183. ISSN UNSPECIFIED

neural coding

Sen Bhattacharya, Basabdatta and Furber, Steve (2007) Maximising information recovery from rank-order codes. In: SPIE Defense, Security and Sensing Symposium, 9-13 April 2007, Orlando, Florida, USA.

neural mass model

Sen Bhattacharya, Basabdatta and Cakir, Yuksel and Serap-Sengor, Neslihan and Maguire, Liam and Coyle, Damien (2013) Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease. Neurocomputing, 115 . pp. 11-22. ISSN 0925-2312

Sen Bhattacharya, Basabdatta and Serap Sengor, Neslihan and Cakir, Yuksel and Maguire, Liam and Coyle, Damien (2014) Spectral and non-linear analysis of thalamocortical neural mass model oscillatory dynamics. In: Advanced computational approaches to biomedical engineering. Springer Verlag, pp. 87-112. ISBN UNSPECIFIED

sen Bhattacharya, Basabdatta (2013) Implementing the cellular mechanisms of synaptic transmission in a neural mass model of the thalamocortical circuitry. Frontiers in Computational Neuroscience, 7 (81). ISSN 1662-5188

sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2011) Synaptic deficiency in Alzheimer disease and its implications on thalamic and cortical oscillations: a study using a neural mass model. In: 11th UKCI workshop, 7th-9th September 2011, Manchester.

neural mass models

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam and Stewart, Jill (2012) Kinetic modelling of synaptic functions in the alpha rhythm neural mass model. In: International Conference on Artificial Neural Networks (ICANN), 11-14 September 2012, Lausanne, Switzerland.

neural net architecture

Kolcz, A. and Allinson, N. M. (1995) General memory neural network-extending the properties of basis networks to RAM-based architectures. In: 1995 IEEE International Conference on Neural Networks, 27 Nov - 1 Dec 1995, Perth, WA.

neural nets

Allinson, N. M. and Merritt, D. (1991) Successful prediction of horse racing results using a neural network. In: IEE Colloquium on Neural Networks: Design Techniques and Tools, 12 March 1991, London.

Johnson, M. and Brown, M. and Allinson, N. M. (1990) Multidimensional self organisation. In: Cellular Neural Networks and their Applications, 1990. CNNA-90, 16-19 December 1990, Budapest.

Kolcz, A. and Allinson, N. M. (1994) Euclidean input mapping in a N-tuple approximation network. In: 1994 Sixth IEEE Digital Signal Processing Workshop, 2-5 October 1994, Yosemite National Park, CA, USA.

neural networks

Addison, J. F. Dale and Hunter, Andrew and Bass, Jeremy and Rebbeck, Matt (2000) A neural network version of the measure correlate predict algorithm for estimating wind energy yield. In: 13th International Congress on Condition Monitoring and Diagnostic Engineering Management, 3-8 December, 2000, Houston, USA.

Graham, D. B. and Allinson, N. M. (1999) Norm2-based face recognition. In: IEEE computer Society Conference on Computer Vision and Pattern Recognition 1999, 23-25 June 1999, Fort Collins, CO.

Kolcz, A. and Allinson, N. M. (1995) General memory neural network-extending the properties of basis networks to RAM-based architectures. In: 1995 IEEE International Conference on Neural Networks, 27 Nov - 1 Dec 1995, Perth, WA.

Swann, A. and Allinson, N. (1998) Fast committee learning: preliminary results. Electronics Letters, 34 (14). pp. 1408-1410. ISSN 1013-5194

Turner, M. and Austin, J. and Allinson, Nigel and Thompson, P. (1993) Chromosomelocation and feature extraction using neural networks. Image and Vision Computing, 11 (4). pp. 235-239. ISSN 0262-8856

Yin, H. and Allinson, N. M. (1996) Unsupervised segmentation of textured images by pairwise data clustering. In: 3rd IEEE International Conference on Image Processing , 16-19 september 1996, Lausanne.

Yin, H. and Allinson, N. M. (1994) Unsupervised segmentation of textured images using a hierarchical neural structure. Electronics letters, 30 (22). pp. 1842-1843. ISSN 0013-5194

Yue, Shigang and Wei, Hua-Liang and Li, Maozhen and Liang, Qilian and Wang, Lipo (2011) ICNC-FSKD 2010 special issue on computers & mathematics in natural computation and knowledge discovery. Computers and Mathematics with Applications, 62 (7). pp. 2683-2684. ISSN 0898-1221

neurotransmitters

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam and Stewart, Jill (2012) Kinetic modelling of synaptic functions in the alpha rhythm neural mass model. In: International Conference on Artificial Neural Networks (ICANN), 11-14 September 2012, Lausanne, Switzerland.

non-linear analysis

Sen Bhattacharya, Basabdatta and Serap Sengor, Neslihan and Cakir, Yuksel and Maguire, Liam and Coyle, Damien (2014) Spectral and non-linear analysis of thalamocortical neural mass model oscillatory dynamics. In: Advanced computational approaches to biomedical engineering. Springer Verlag, pp. 87-112. ISBN UNSPECIFIED

parallel architectures

Howard, Neil and Taylor, Richard and Allinson, Nigel (1992) The design and implementation of a massively-parallel fuzzy architecture. In: IEEE International Conference on Fuzzy Systems, 1992, 8-12 March 1992, San Diego, California, USA.

parallel machines

Howard, Neil and Taylor, Richard and Allinson, Nigel (1992) The design and implementation of a massively-parallel fuzzy architecture. In: IEEE International Conference on Fuzzy Systems, 1992, 8-12 March 1992, San Diego, California, USA.

particle size

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

pattern classification

Allinson, N. M. and Kolcz, A. (1977) A principled approach to N-tuple recognition systems. In: IEE Colloquium on Pattern Recognition, 26 February 1997, London.

Yin, H. and Allinson, N. M. (1998) A self-organising mixture network for density modelling. In: The 1998 IEEE International Joint Conference on Neural Networks, 4-9 May 1998, Anchorage, USA.

pattern recognition

Allinson, N. M. and Kolcz, A. (1977) A principled approach to N-tuple recognition systems. In: IEE Colloquium on Pattern Recognition, 26 February 1997, London.

Johnson, M. and Brown, M. and Allinson, N. M. (1990) Multidimensional self organisation. In: Cellular Neural Networks and their Applications, 1990. CNNA-90, 16-19 December 1990, Budapest.

perceptual information recovery

Sen Bhattacharya, Basabdatta and Furber, Steve (2007) Maximising information recovery from rank-order codes. In: SPIE Defense, Security and Sensing Symposium, 9-13 April 2007, Orlando, Florida, USA.

perceptually important information

Sen Bhattacharya, Basabdatta and Furber, Steve (2010) Biologically-inspired means for rank-order encoding images: a quantitative analysis. IEEE Transactions on Neural Networks, 21 (7). pp. 1087-1099. ISSN 1045-9227

postsynaptic

Yue, Shigang and Rind, F. Claire (2013) Postsynaptic organizations of directional selective visual neural networks for collision detection. Neurocomputing, 103 . pp. 50-62. ISSN 0925-2312

precipitation

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

prediction

Allinson, N. M. and Merritt, D. (1991) Successful prediction of horse racing results using a neural network. In: IEE Colloquium on Neural Networks: Design Techniques and Tools, 12 March 1991, London.

prednisolone

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

priority journal

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

Kolcz, Aleksander and Allinson, Nigel (1999) The general memory neural network and its relationship with basis function architectures. Neurocomputing, 29 (1-3). pp. 57-84. ISSN 0925-2312

probability

Ferguson, K.L. and Allinson, N.M. (1999) Rate constrained self-organzing neural maps and efficient psychovisual methods for low bit rate video coding. In: Neural Networks for Signal Processing IX, 1999, 23-25 August 1999, Madison, WI, USA.

Yin, H. and Allinson, N. M. (1998) A self-organising mixture network for density modelling. In: The 1998 IEEE International Joint Conference on Neural Networks, 4-9 May 1998, Anchorage, USA.

properties

Yue, Shigang and Rind, F. Claire (2013) Postsynaptic organizations of directional selective visual neural networks for collision detection. Neurocomputing, 103 . pp. 50-62. ISSN 0925-2312

psychology

Allinson, N. M. and Ellis, A. W. (1992) Face recognition: combining cognitive psychology and image engineering. IEE Electronics and Communication Engineering Journal, 4 (5). pp. 291-300. ISSN UNSPECIFIED

radial basis function networks

Allinson, N. M. and Kolcz, A. (1977) A principled approach to N-tuple recognition systems. In: IEE Colloquium on Pattern Recognition, 26 February 1997, London.

rank-oder codes

Sen Bhattacharya, Basabdatta and Furber, Steve (2007) Maximising information recovery from rank-order codes. In: SPIE Defense, Security and Sensing Symposium, 9-13 April 2007, Orlando, Florida, USA.

rank-order codes

Sen Bhattacharya, Basabdatta and Furber, Steve (2010) Biologically-inspired means for rank-order encoding images: a quantitative analysis. IEEE Transactions on Neural Networks, 21 (7). pp. 1087-1099. ISSN 1045-9227

sen Bhattacharya, Basabdatta and Furber, Steve (2009) Evaluating rank-order code performance using a biologically-derived retinal model. In: IJCNN 2010, 14-19 June 2009, Atlanta, USA.

sen Bhattacharya, Basabdatta and Furber, Steve (2008) Information recovery from rank-order encoded images. PhD thesis, University of Manchester.

sen Bhattacharya, Basabdatta and Furber, Steve (2009) A biologically inspired algorithm to deal with filter-overlap in retinal models. In: Eighteenth annual Computational Neuroscience meeting CNS*2009, 18-23 July 2009, Berlin, Germany.

rate distortion theory

Ferguson, K.L. and Allinson, N.M. (1999) Rate constrained self-organzing neural maps and efficient psychovisual methods for low bit rate video coding. In: Neural Networks for Signal Processing IX, 1999, 23-25 August 1999, Madison, WI, USA.

reactor

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

receptive field

Kolcz, Aleksander and Allinson, Nigel (1996) N-tuple regression network. Neural Networks, 9 (5). pp. 855-869. ISSN 08936080

reconfigurable architectures

Howard, Neil and Taylor, Richard and Allinson, Nigel (1992) The design and implementation of a massively-parallel fuzzy architecture. In: IEEE International Conference on Fuzzy Systems, 1992, 8-12 March 1992, San Diego, California, USA.

retinal model

Sen Bhattacharya, Basabdatta and Furber, Steve (2010) Biologically-inspired means for rank-order encoding images: a quantitative analysis. IEEE Transactions on Neural Networks, 21 (7). pp. 1087-1099. ISSN 1045-9227

sen Bhattacharya, Basabdatta and Furber, Steve (2009) Evaluating rank-order code performance using a biologically-derived retinal model. In: IJCNN 2010, 14-19 June 2009, Atlanta, USA.

sen Bhattacharya, Basabdatta and Furber, Steve (2009) A biologically inspired algorithm to deal with filter-overlap in retinal models. In: Eighteenth annual Computational Neuroscience meeting CNS*2009, 18-23 July 2009, Berlin, Germany.

retinal modelling

sen Bhattacharya, Basabdatta and Furber, Steve (2008) Information recovery from rank-order encoded images. PhD thesis, University of Manchester.

segmentation

Yin, H. and Allinson, N. M. (1996) Unsupervised segmentation of textured images by pairwise data clustering. In: 3rd IEEE International Conference on Image Processing , 16-19 september 1996, Lausanne.

Yin, H. and Allinson, N. M. (1994) Unsupervised segmentation of textured images using a hierarchical neural structure. Electronics letters, 30 (22). pp. 1842-1843. ISSN 0013-5194

self-adjusting systems

Johnson, M. and Brown, M. and Allinson, N. M. (1990) Multidimensional self organisation. In: Cellular Neural Networks and their Applications, 1990. CNNA-90, 16-19 December 1990, Budapest.

self-organising feature maps

Ferguson, K.L. and Allinson, N.M. (1999) Rate constrained self-organzing neural maps and efficient psychovisual methods for low bit rate video coding. In: Neural Networks for Signal Processing IX, 1999, 23-25 August 1999, Madison, WI, USA.

Yin, H. and Allinson, N. M. (1998) A self-organising mixture network for density modelling. In: The 1998 IEEE International Joint Conference on Neural Networks, 4-9 May 1998, Anchorage, USA.

self-organising map

Turner, M. and Austin, J. and Allinson, Nigel and Thompson, P. (1993) Chromosomelocation and feature extraction using neural networks. Image and Vision Computing, 11 (4). pp. 235-239. ISSN 0262-8856

self-organising maps

Allinson, N. M. and Yin, Hujun (1998) Interactive and semantic data visualisation using self-organising maps. In: IEE Colloquium on Neural Networks in Interactive Multimedia Systems (Ref No 1998/446), 22 October 1998, London.

semantic data visualisation

Allinson, N. M. and Yin, Hujun (1998) Interactive and semantic data visualisation using self-organising maps. In: IEE Colloquium on Neural Networks in Interactive Multimedia Systems (Ref No 1998/446), 22 October 1998, London.

sensory descriptive evaluation

Munkevik , Per and Hall, Gunnar and Duckett, Tom (2007) A computer vision system for appearance-based descriptive sensory evaluation of meals. Journal of Food Engineering, 78 (1). pp. 246-256. ISSN 0260-8774

solvent, article

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

statistical analysis

Graham, D. B. and Allinson, N. M. (1999) Norm2-based face recognition. In: IEEE computer Society Conference on Computer Vision and Pattern Recognition 1999, 23-25 June 1999, Fort Collins, CO.

structure visualisation

Allinson, N. M. and Yin, Hujun (1998) Interactive and semantic data visualisation using self-organising maps. In: IEE Colloquium on Neural Networks in Interactive Multimedia Systems (Ref No 1998/446), 22 October 1998, London.

synaptic connectivity

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam P. (2011) A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease. Neural Networks, 24 (6). pp. 631-645. ISSN 0893-6080

target recognition

Graham, D. B. and Allinson, N. M. (1999) Norm2-based face recognition. In: IEEE computer Society Conference on Computer Vision and Pattern Recognition 1999, 23-25 June 1999, Fort Collins, CO.

teleconferencing

Ferguson, K.L. and Allinson, N.M. (1999) Rate constrained self-organzing neural maps and efficient psychovisual methods for low bit rate video coding. In: Neural Networks for Signal Processing IX, 1999, 23-25 August 1999, Madison, WI, USA.

thalamo-cortical model

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2012) Assessing alpha band event-related synchronisation/desynchronisation with a mutually coupled thalamo-cortical circuitry model. Journal of Universal Computer Science, 18 (13). pp. 1888-1904. ISSN 0948-695X

thalamo-cortico-thalamic circuitry

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam P. (2011) A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease. Neural Networks, 24 (6). pp. 631-645. ISSN 0893-6080

thalamocortical circuitry

Sen Bhattacharya, Basabdatta and Serap Sengor, Neslihan and Cakir, Yuksel and Maguire, Liam and Coyle, Damien (2014) Spectral and non-linear analysis of thalamocortical neural mass model oscillatory dynamics. In: Advanced computational approaches to biomedical engineering. Springer Verlag, pp. 87-112. ISBN UNSPECIFIED

sen Bhattacharya, Basabdatta (2013) Implementing the cellular mechanisms of synaptic transmission in a neural mass model of the thalamocortical circuitry. Frontiers in Computational Neuroscience, 7 (81). ISSN 1662-5188

theta rhythms

Coyle, Damien and Sen Bhattacharya, Basabdatta and Zou, X. and Wong-Lin, K. and Abuhassan, K. and Maguire, L. (2013) Neural circuit models and neuropathological oscillations. In: Handbook of bio- and neuro-informatics. Springer Verlag. ISBN 9783642305733

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2011) Alpha and theta rhythm abnormality in Alzheimer's disease: a study using a computational model. In: From brains to systems. Advances in Experimental Medicine and Biology, 718 . Springer, New York, pp. 57-73. ISBN 9781461401643

Sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2011) Assessing retino-geniculo-cortical connectivities in Alzheimer’s disease with a neural mass model. In: IEEE Symposium Series on Computational Intelligence: Cognitive Algorithms, Mind and Brain, April 2011, Paris.

topology

Johnson, M. and Brown, M. and Allinson, N. M. (1990) Multidimensional self organisation. In: Cellular Neural Networks and their Applications, 1990. CNNA-90, 16-19 December 1990, Budapest.

trajectory

Graham, D. B. and Allinson, N. M. (1999) Norm2-based face recognition. In: IEEE computer Society Conference on Computer Vision and Pattern Recognition 1999, 23-25 June 1999, Fort Collins, CO.

transform coding

Ferguson, K.L. and Allinson, N.M. (1999) Rate constrained self-organzing neural maps and efficient psychovisual methods for low bit rate video coding. In: Neural Networks for Signal Processing IX, 1999, 23-25 August 1999, Madison, WI, USA.

unsupervised learning

Yin, H. and Allinson, N. M. (1998) A self-organising mixture network for density modelling. In: The 1998 IEEE International Joint Conference on Neural Networks, 4-9 May 1998, Anchorage, USA.

validation study, Algorithms

Ali, Hany S. M. and Blagden, Nicholas and York, Peter and Amani, Amir and Brook, Toni (2009) Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors. European Journal of Pharmaceutical Sciences, 37 (3-4). pp. 514-522. ISSN 0928-0987

vector quantisation

Ferguson, K.L. and Allinson, N.M. (1999) Rate constrained self-organzing neural maps and efficient psychovisual methods for low bit rate video coding. In: Neural Networks for Signal Processing IX, 1999, 23-25 August 1999, Madison, WI, USA.

Kolcz, A. and Allinson, N. M. (1995) General memory neural network-extending the properties of basis networks to RAM-based architectures. In: 1995 IEEE International Conference on Neural Networks, 27 Nov - 1 Dec 1995, Perth, WA.

vectors

Graham, D. B. and Allinson, N. M. (1999) Norm2-based face recognition. In: IEEE computer Society Conference on Computer Vision and Pattern Recognition 1999, 23-25 June 1999, Fort Collins, CO.

video coding

Ferguson, K.L. and Allinson, N.M. (1999) Rate constrained self-organzing neural maps and efficient psychovisual methods for low bit rate video coding. In: Neural Networks for Signal Processing IX, 1999, 23-25 August 1999, Madison, WI, USA.

vision

Yue, Shigang and Rind, F. Claire (2013) Postsynaptic organizations of directional selective visual neural networks for collision detection. Neurocomputing, 103 . pp. 50-62. ISSN 0925-2312

visual motion

Yue, Shigang and Rind, F. Claire (2013) Postsynaptic organizations of directional selective visual neural networks for collision detection. Neurocomputing, 103 . pp. 50-62. ISSN 0925-2312

visual neural networks

Yue, Shigang and Rind, Claire (2012) Visually stimulated motor control for a robot with a pair of LGMD visual neural networks. International Journal of Advanced Mechatronic Systems, 4 (5/6). pp. 237-247. ISSN 1756-8412

visual perception

Ferguson, K.L. and Allinson, N.M. (1999) Rate constrained self-organzing neural maps and efficient psychovisual methods for low bit rate video coding. In: Neural Networks for Signal Processing IX, 1999, 23-25 August 1999, Madison, WI, USA.

visual stimulated motor control

Yue, Shigang and Rind, Claire (2012) Visually stimulated motor control for a robot with a pair of LGMD visual neural networks. International Journal of Advanced Mechatronic Systems, 4 (5/6). pp. 237-247. ISSN 1756-8412

wind energy

Addison, J. F. Dale and Hunter, Andrew and Bass, Jeremy and Rebbeck, Matt (2000) A neural network version of the measure correlate predict algorithm for estimating wind energy yield. In: 13th International Congress on Condition Monitoring and Diagnostic Engineering Management, 3-8 December, 2000, Houston, USA.

This list was generated on Thu Apr 24 07:31:06 2014 BST.