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  Synaptic unreliability facilitates information transmission in balanced cortical populations

Gatys, L., Ecker, A. S., Tchumatchenko, T., & Bethge, M. (2014). Synaptic unreliability facilitates information transmission in balanced cortical populations. In Bernstein Conference 2014 (pp. 21-21).

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 Creators:
Gatys, LA, Author
Ecker, Alexander S, Author           
Tchumatchenko, T, Author
Bethge, Matthias1, 2, Author           
Affiliations:
1Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Cortical neurons fire in a highly irregular manner, suggesting that their input is tightly balanced and changes in presynaptic firing rate are encoded primarily in the variance of the postsynaptic currents. Here we show that such balance has a surprising effect on information transmission: Synaptic unreliability – which is ubiquitous in cortex and usually thought to impair neural communication – actually increases the information rate. We show that the beneficial effect of noise is based on a very general mechanism which contrary to stochastic resonance does not rely on a threshold nonlinearity.

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 Dates: 2014-09
 Publication Status: Issued
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 Identifiers: DOI: 10.12751/nncn.bc2014.0017
BibTex Citekey: GatysETB2014
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Title: Bernstein Conference 2014
Place of Event: Göttingen, Germany
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Title: Bernstein Conference 2014
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 21 - 21 Identifier: -