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Efficient information transfer by Poisson neurons
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SYSNO ASEP 0458440 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Efficient information transfer by Poisson neurons Author(s) Košťál, Lubomír (FGU-C) RID, ORCID, SAI
Shinomoto, S. (JP)Source Title Mathematical Biosciences and Engineering. - : AIMS Press - ISSN 1547-1063
Roč. 13, č. 3 (2016), s. 509-520Number of pages 12 s. Language eng - English Country US - United States Keywords information capacity ; Poisson neuron ; metabolic cost ; decoding error Subject RIV BD - Theory of Information R&D Projects GA15-08066S GA ČR - Czech Science Foundation (CSF) Institutional support FGU-C - RVO:67985823 UT WOS 000373930200005 EID SCOPUS 84955101627 DOI 10.3934/mbe.2016004 Annotation Recently, it has been suggested that certain neurons with Poissonian spiking statistics may communicate by discontinuously switching between two levels of firing intensity. Such a situation resembles in many ways the optimal information transmission protocol for the continuous-time Poisson channel known from information theory. In this contribution we employ the classical information-theoretic results to analyze the efficiency of such a transmission from different perspectives, emphasising the neurobiological viewpoint. We address both the ultimate limits, in terms of the information capacity under metabolic cost constraints, and the achievable bounds on performance at rates below capacity with fixed decoding error probability. In doing so we discuss optimal values of experimentally measurable quantities that can be compared with the actual neuronal recordings in a future effort. Workplace Institute of Physiology Contact Lucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400 Year of Publishing 2017
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