Now showing items 1-3 of 3
Analysis of parameter changes of a neuronal network model using transfer entropy
(International Advanced Researches and Engineering Journal, 2020)
Understanding the dynamics of coupled neurons is one of the fundamental problems in the analysis of neuronal model dynamics. The transfer entropy (TE) method is one of the primary analyses to explore the information flow ...
Effects of neuronal noise on neural communication
In this work, we propose an approach to better understand the effects of neuronal noise on neural communication systems. Here, we extend the fundamental Hodgkin-Huxley (HH) model by adding synaptic couplings to represent ...
Statistical approaches for the analysis of dependency among neurons under noise
Neuronal noise is a major factor affecting the communication between coupled neurons. In this work, we propose a statistical toolset to infer the coupling between two neurons under noise. We estimate these statistical ...