Divisive gain modulation with dynamic stimuli in integrate-and-fire neurons.

The modulation of the sensitivity, or gain, of neural responses to input is an important component of neural computation. It has been shown that divisive gain modulation of neural responses can result from a stochastic shunting from balanced (mixed excitation and inhibition) background activity. Thi...

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Main Authors: Cheng Ly, Brent Doiron
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-04-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC2667215?pdf=render
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spelling doaj-595ccbc738a5480cb621e81b6bb821342020-11-25T02:31:45ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582009-04-0154e100036510.1371/journal.pcbi.1000365Divisive gain modulation with dynamic stimuli in integrate-and-fire neurons.Cheng LyBrent DoironThe modulation of the sensitivity, or gain, of neural responses to input is an important component of neural computation. It has been shown that divisive gain modulation of neural responses can result from a stochastic shunting from balanced (mixed excitation and inhibition) background activity. This gain control scheme was developed and explored with static inputs, where the membrane and spike train statistics were stationary in time. However, input statistics, such as the firing rates of pre-synaptic neurons, are often dynamic, varying on timescales comparable to typical membrane time constants. Using a population density approach for integrate-and-fire neurons with dynamic and temporally rich inputs, we find that the same fluctuation-induced divisive gain modulation is operative for dynamic inputs driving nonequilibrium responses. Moreover, the degree of divisive scaling of the dynamic response is quantitatively the same as the steady-state responses--thus, gain modulation via balanced conductance fluctuations generalizes in a straight-forward way to a dynamic setting.http://europepmc.org/articles/PMC2667215?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Cheng Ly
Brent Doiron
spellingShingle Cheng Ly
Brent Doiron
Divisive gain modulation with dynamic stimuli in integrate-and-fire neurons.
PLoS Computational Biology
author_facet Cheng Ly
Brent Doiron
author_sort Cheng Ly
title Divisive gain modulation with dynamic stimuli in integrate-and-fire neurons.
title_short Divisive gain modulation with dynamic stimuli in integrate-and-fire neurons.
title_full Divisive gain modulation with dynamic stimuli in integrate-and-fire neurons.
title_fullStr Divisive gain modulation with dynamic stimuli in integrate-and-fire neurons.
title_full_unstemmed Divisive gain modulation with dynamic stimuli in integrate-and-fire neurons.
title_sort divisive gain modulation with dynamic stimuli in integrate-and-fire neurons.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2009-04-01
description The modulation of the sensitivity, or gain, of neural responses to input is an important component of neural computation. It has been shown that divisive gain modulation of neural responses can result from a stochastic shunting from balanced (mixed excitation and inhibition) background activity. This gain control scheme was developed and explored with static inputs, where the membrane and spike train statistics were stationary in time. However, input statistics, such as the firing rates of pre-synaptic neurons, are often dynamic, varying on timescales comparable to typical membrane time constants. Using a population density approach for integrate-and-fire neurons with dynamic and temporally rich inputs, we find that the same fluctuation-induced divisive gain modulation is operative for dynamic inputs driving nonequilibrium responses. Moreover, the degree of divisive scaling of the dynamic response is quantitatively the same as the steady-state responses--thus, gain modulation via balanced conductance fluctuations generalizes in a straight-forward way to a dynamic setting.
url http://europepmc.org/articles/PMC2667215?pdf=render
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AT brentdoiron divisivegainmodulationwithdynamicstimuliinintegrateandfireneurons
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