Studying response to external driving in a model of thalamocortical system with specialized neuron equations

2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)(2022)

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Abstract
In this work, an ensemble of 28 connected neurooscillators for modeling epilepsy was considered. There were five types of neurons in this ensemble, with specific physiologically proved neuron models with physiologically reasonable parameters selected for each type of models. In addition, due to the presence of excitatory and inhibitory connections in the network, it was decided to use physiological synapse models for AMPA and GABA receptors, respectively. As a result, it was shown that such a system is capable of demonstrating long transients simulating epileptiform activity similarly to the previously considered models. This confirms the hypothesis of the network structure, key role in the occurrence of epileptic seizures, with validating this idea based on physiologically proved models and parameters and increasing the scientific significance of the underlying idea.
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Key words
neuron model,synapse model,epilepsy,brain connectivity,transient process
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