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

Basab Bhattacharya, Damien Coyle, LP Maguire

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

9 Citations (SciVal)

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.
Original languageEnglish
Title of host publicationThe 2010 International Joint Conference on Neural Networks (IJCNN)
Place of PublicationUnited States
PublisherIEEE Computational Intelligence Society
Pages3175-3182
Number of pages8
DOIs
Publication statusPublished - 14 Oct 2010

Bibliographical note

the International Joint Conference on Neural Networks ; Conference date: 01-01-2010

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