Joint seminar of Center for Language and Semantic Technologies and CSMC Lab "Collective behavior of an adapting synapse based neuronal network with memristive effect and randomness"

Center for Language and Semantic Technologies and Laboratory of Complex Systems Modeling and Control will have the online joint seminar on Friday, October 17, 13:00.
Zoom link

Title: Collective behavior of an adapting synapse based neuronal network with memristive effect and randomness

Speaker: Seralan Vinoth (CSMC Lab)

Abstract: 
This study delves into the examination of a network of adaptive synapse neurons characterized by a small-world network topology. First, this research extensively explores the existence of the global multi-stability of a single neuron model. Various numerical measures, including bifurcation plots, phase plots, and basin of attraction, illustrate the intricate dynamics of diverse coexisting global firing activities. Moreover, the model is extended by coupling two neurons with a memristive synapse. The dynamics of the coupled neurons model are showcased with the help of largest Lyapunov exponents, and synchronized dynamics are viewed with the help of mean average error. Next, a regular network of neurons connected to their nearest neighbors through the memristive synapse and then reconstruct it into a small-world network by increasing the randomness in the rewiring links. Finally, the collective behavior is observed by the influence of  the neighborhood connections, coupling strength, and rewiring probability. The spatio-temporal patterns, recurrence plots, as well as global-order parameters are displayed to verify the reported results.