A biologically inspired algorithm to deal with filter-overlap in retinal models

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.

Full content URL: http://www.biomedcentral.com/content/pdf/1471-2202...

Full text not available from this repository.

Item Type:Conference or Workshop contribution (Poster)
Item Status:Live Archive

Abstract

A multi-filter retinal model to simulate parallel processing by a population of retinal ganglion cells was proposed in [1] to test rank-order codes [2], a spike-latency based neural code. Dealing with filter-overlap in this model has been an area of concern [3,4]. This is because data redundancy induced by over-sampling of a point in space affects the quantity of salient information during rapid information transmission [5]. We propose a Filter-overlap Correction algorithm (FoCal) to deal with this problem of over-sampled data. The algorithm is based on the lateral inhibition technique [6] used by sensory neurons to deal with data redundancy [7], so that only salient information is transmitted through the optic-nerve bottleneck for rapid object detection and recognition.

Additional Information:This article is part of the supplement: Eighteenth Annual Computational Neuroscience Meeting: CNS*2009
Keywords:retinal model, rank-order codes, filter-overlap
Subjects:G Mathematical and Computer Sciences > G730 Neural Computing
Divisions:College of Science > School of Engineering
ID Code:10598
Deposited On:30 Jun 2013 19:27

Repository Staff Only: item control page