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  Synaptic unreliability facilitates information transmission in balanced cortical populations

Gatys, L., Ecker, A., Tchumatchenko, T., & Bethge, M. (2015). Synaptic unreliability facilitates information transmission in balanced cortical populations. Physical Review E, 91: 062707, pp. 1-7. doi:10.1103/PhysRevE.91.062707.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-4643-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-3494-D
Genre: Journal Article

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Gatys, LA, Author
Ecker, AS1, 2, Author              
Tchumatchenko, T, Author
Bethge, M2, 3, Author              
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              

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 Abstract: Synaptic unreliability is one of the major sources of biophysical noise in the brain. In the context of neural information processing, it is a central question how neural systems can afford this unreliability. Here we examine how synaptic noise affects signal transmission in cortical circuits, where excitation and inhibition are thought to be tightly balanced. Surprisingly, we find that in this balanced state synaptic response variability actually facilitates information transmission, rather than impairing it. In particular, the transmission of fast-varying signals benefits from synaptic noise, as it instantaneously increases the amount of information shared between presynaptic signal and postsynaptic current. Furthermore we show that the beneficial effect of noise is based on a very general mechanism which contrary to stochastic resonance does not reach an optimum at a finite noise level. PDFHTML

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 Dates: 2015-06
 Publication Status: Published in print
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 Identifiers: DOI: 10.1103/PhysRevE.91.062707
BibTex Citekey: GatysETB2015_2
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Title: Physical Review E
Source Genre: Journal
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Pages: - Volume / Issue: 91 Sequence Number: 062707 Start / End Page: 1 - 7 Identifier: -