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Phase Entrainment by Periodic Stimuli In Silico: A Quantitative Study
We present a quantitative study of phase entrainment by periodic visual stimuli in a biologically inspired neural network.
Bayesian Optimisation for a Biologically Inspired Population Neural Network
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).
Quantifying Synchronization in a Biologically Inspired Neural Network
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.
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