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


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.

Model Type: Connectionist Network; Neural mass

Region(s) or Organism(s): Neocortex; Thalamus

Model Concept(s): Aging/Alzheimer`s; Brain Rhythms

Simulation Environment: MATLAB; Simulink

Implementer(s): Sen-Bhattacharya, Basabdatta [basab.sen.b at gmail.com]

References:

Bhattacharya BS, Coyle D, Maguire LP. (2011). A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease. Neural networks : the official journal of the International Neural Network Society. 24 [PubMed]


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