Summary
International Symposium on Nonlinear Theory and Its Applications
2015
Session Number:A4L-F
Session:
Number:A4L-F-1
Neural Synaptic Properties and Conductance Kinetics Jointly Influence How Neurons Process Correlated Input
Ho Ka Chan, Dong-Ping Yang, Changsong Zhou,
pp.317-320
Publication Date:2015/12/1
Online ISSN:2188-5079
Summary:
How neurons compute correlated input is an important question. In this work, we studied the effects of excitatory and inhibitory synaptic decay time, level of input activities and higher order conductance kinetics on output correlation of different time scales through numerical simulation. We found that the abovementioned factors influence the time scale and magnitude of output correlation through modulating the time window and magnitude of the effects of a single input spike on membrane potential as well as the prevalence of burst firing.