A Neuronal Time Window for Coincidence Detection (Special Section on Nonlinear Theory and Its Applications)

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概要

• 論文の詳細を見る

• Though response of neurons is mainly decided by synaptic events, the length of a time window for the neuronal response has still not been clarified. In this paper, we analyse the time window within which a neuron processes synaptic events, on the basis of the Hodgkin-Huxley equations. Our simulation shows that an active membrane property makes neurons' behavior complex, and that a few milliseconds is plausible as the time window. A neuron seems to detect coincidence synaptic events in such a time window.

• 社団法人電子情報通信学会の論文
• 1998-09-25

著者

• AIHARA Kazuyuki

  Graduate School of Engineering, The University of Tokyo

• Sakumura Yuichi

  Graduate School Of Engineering The University Of Tokyo

• Aihara Kazuyuki

  Graduate School Of Engineering The University Of Tokyo

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