State dependence of network output: Modeling and experiments

Document Type

Conference Proceeding

Publication Date

11-12-2008

Abstract

Emerging experimental evidence suggests that both networks and their component neurons respond to similar inputs differently, depending on the state of network activity. The network state is determined by the intrinsic dynamical structure of the network and may change as a function of neuromodulation, the balance or stochasticity of synaptic inputs to the network, and the history of network activity. Much of the knowledge on state-dependent effects comes from comparisons of awake and sleep states of the mammalian brain. Yet, the mechanisms underlying these states are difficult to unravel. Several vertebrate and invertebrate studies have elucidated cellular and synaptic mechanisms of state dependence resulting from neuromodulation, sensory input, and experience. Recent studies have combined modeling and experiments to examine the computational principles that emerge when network state is taken into account; these studies are highlighted in this article. We discuss these principles in a variety of systems (mammalian, crustacean, and mollusk) to demonstrate the unifying theme of state dependence of network output. Copyright © 2008 Society for Neuroscience.

Identifier

58149345562 (Scopus)

Publication Title

Journal of Neuroscience

External Full Text Location

https://doi.org/10.1523/JNEUROSCI.3796-08.2008

e-ISSN

02706474

ISSN

02706474

PubMed ID

19005044

First Page

11806

Last Page

11813

Issue

46

Volume

28

Grant

R01MH060605

Fund Ref

National Institute of Mental Health

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