Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input.

Abstract:

:Neurons receive a continual stream of excitatory and inhibitory synaptic inputs. A conductance-based neuron model is used to investigate how the balanced component of this input modulates the amplitude of neuronal responses. The output spiking rate is well described by a formula involving three parameters: the mean mu and variance sigma of the membrane potential and the effective membrane time constant tauQ. This expression shows that, for sufficiently small tauQ, the level of balanced excitatory-inhibitory input has a nonlinear modulatory effect on the neuronal gain.

journal_name

Biol Cybern

journal_title

Biological cybernetics

authors

Burkitt AN,Meffin H,Grayden DB

doi

10.1007/s00422-003-0408-8

keywords:

subject

Has Abstract

pub_date

2003-08-01 00:00:00

pages

119-25

issue

2

eissn

0340-1200

issn

1432-0770

journal_volume

89

pub_type

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