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Synaptic unreliability facilitates information transmission in balanced cortical populations

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Ecker,  AS
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bethge,  M
Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

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.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002A-4643-6
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