Thalamocortical circuitry and alpha rhythm slowing: an empirical study based on a classic computational model

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.

Full content URL: http://dx.doi.org/10.1109/IJCNN.2010.5596647

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

Abstract

This paper describes a study of the effects of variations in the thalamocortical synaptic activity on alpha rhythms (8 - 13 Hz) using a computational model. The study aims to investigate alpha rhythm slowing associated with Alzheimer's Disease. It is observed that for a certain range of values of the input, an increase in inhibitory activity results in an increase of the lower alpha band (8 - 10 Hz) power and a corresponding decrease in the upper alpha band (11 - 13 Hz) power, thus indicating a slowing of the alpha rhythms. On the other hand, an increase in the excitatory synaptic activity results in an overall shift of the peak power in the output signal from the lower alpha band to the upper alpha band. However, for values of input outside this range, the output signal shows a bifurcation in behaviour and enters a limit cycle mode. In this state, the output power lies dominantly in the lower alpha band. Variation in the inhibitory or excitatory synaptic parameters has little or no effect on the frequency band of the output power.

Keywords:alpha rhythms; thalamocortical circuitry; Alzheimer's disease
Subjects:G Mathematical and Computer Sciences > G730 Neural Computing
Divisions:College of Science > School of Engineering
ID Code:10008
Deposited On:19 Jun 2013 21:34

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