A note on stochastic modeling of shunting inhibition

Y. Matsuyama*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


Stochastic modeling of a neuron with a shunting inhibition is considered. The shunting inhibition divides a neuron potential, and in this case, the neuron has a state-dependent noise. The effect of this state-dependency is discussed by means of a comparison with a subtractive inhibition which was treated in a previous paper. Attention is focused on the firing statistics of both inhibitions described by the first passage time of a neuron potential. These statistics differ depending on the reset value of the potential. This is due to the fact that the shunting inhibition is effective when the potential is close to a threshold. Numerical examples illustrating this effect are given.

Original languageEnglish
Pages (from-to)139-145
Number of pages7
JournalBiological Cybernetics
Issue number3
Publication statusPublished - 1976 Sept
Externally publishedYes

ASJC Scopus subject areas

  • Biophysics


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