Features of Hodgkin-Huxley Neuron Response to Periodic Spike-Train Inputs

Authors:
Zeng An;Liu Yan;Chen Liujun
Affiliations:
Department of Systems Science, School of Management, Beijing Normal University, Beijing, P.R. China 100875;Department of Systems Science, School of Management, Beijing Normal University, Beijing, P.R. China 100875;Department of Systems Science, School of Management, Beijing Normal University, Beijing, P.R. China 100875
Venue:
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Year:
2009

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Abstract

Researches on neuron response to external stimulation will provide useful insights into neural mechanism of learning and cognitive function of the brain. In this article, a neuron described by Hodgkin-Huxley model receives periodic spike-train inputs. The responses to inputs with various frequencies and synaptic conductivities are simulated. The results show that mode-locking response pattern is the main type of response to periodic inputs, which is consistent with general knowledge. The mode-locking patterns as the function of the frequency and synaptic conductivity are given and characteristics of mode-locking boundaries are analyzed. Furthermore, how input frequency and synaptic conductivity influence HH neuron response is in detail explained respectively.