A Neural mass computational model of the Thalamocorticothalamic circuitry (Bhattacharya et al. 2011)

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Accession:138970
The model presented here is a bio-physically plausible version of a simple thalamo-cortical neural mass computational model proposed by Lopes da Silva in 1974 to simulate brain EEG activity within the alpha band (8-13 Hz). The thalamic and cortical circuitry are presented as separate modules in this model with cell populations as in biology. The connectivity between cell populations are as reported by Sherman, S. in Scholarpedia, 2006. The values of the synaptic connectivity parameters are as reported by Van Horn et al, 2000. In our paper (doi:10.1016/j.neunet.2011.02.009), we study the model behaviour while varying the values of the synaptic connectivity parameters (Cyyy) in the model about their respective 'basal' (intial) values.
Reference:
1 . Bhattacharya BS, Coyle D, Maguire LP (2011) A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease. Neural Netw 24:631-45 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Connectionist Network; Neural mass;
Brain Region(s)/Organism: Neocortex; Thalamus;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB; Simulink;
Model Concept(s): Aging/Alzheimer`s; Brain Rhythms;
Implementer(s): Sen-Bhattacharya, Basabdatta [basab.sen.b at gmail.com]; 
Copyright 2011 by ISRC, University of Ulster
Revision: 0.1
Date: 01/05/2011
E-Mail: basab.sen.b@gmail.com,
	  dh.coyle@ulster.ac.uk,
	  lp.maguire@ulster.ac.uk


THE MODEL IS AN INTELLECTUAL PROPERTY OF THE UNIVERSITY OF ULSTER,
NORTHERN IRELAND, UK.  PLEASE CITE THE PAPER BELOW IF USING THE MODEL
IN YOUR WORK.

[1] Sen Bhattacharya, Basabdatta, Coyle, Damien, Maguire, Liam: "A
thalamo-cortico-thalamic neural mass model to study alpha rhythms in
Alzheimer's disease", Neural Networks (2011),
doi:10.1016/j.neunet.2011.02.009.

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Please feel free to contact (email: basab.sen.b@gmail.com,
dh.coyle@ulster.ac.uk, lp.maguire@ulster.ac.uk) with any query.