no code implementations • 22 May 2021 • Swapna Sasi, Basabdatta Sen Bhattacharya
We present a quantitative study of phase entrainment by periodic visual stimuli in a biologically inspired neural network.
no code implementations • 13 Apr 2021 • Mahak Kothari, Swapna Sasi, Jun Chen, Elham Zareian, Basabdatta Sen Bhattacharya
The 8-dimensional optimal hyper-parameter combination should be such that the network dynamics simulate the resting state alpha rhythm (8 - 13 Hz rhythms in brain signals).
no code implementations • 11 Dec 2020 • Pranav Mahajan, Advait Rane, Swapna Sasi, Basabdatta Sen Bhattacharya
Our motivation for SyncBox is to understand the underlying dynamics in an existing population neural network, commonly referred to as neural mass models, that mimic Local Field Potentials of the visual thalamic tissue.