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Divisive Gain Modulation with Dynamic Stimuli in Integrate-and-Fire Neurons

Ly, C and Doiron, B (2009) Divisive Gain Modulation with Dynamic Stimuli in Integrate-and-Fire Neurons. PLoS Computational Biology, 5 (4). ISSN 1553-734X

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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.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Ly, C
Doiron, Bbdoiron@pitt.eduBDOIRON
ContributionContributors NameEmailPitt UsernameORCID
Date: 1 April 2009
Date Type: Publication
Journal or Publication Title: PLoS Computational Biology
Volume: 5
Number: 4
DOI or Unique Handle: 10.1371/journal.pcbi.1000365
Schools and Programs: Dietrich School of Arts and Sciences > Mathematics
Refereed: Yes
ISSN: 1553-734X
PubMed Central ID: PMC2667215
PubMed ID: 19390603
Date Deposited: 25 Jul 2012 14:20
Last Modified: 02 Feb 2019 15:59


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