Efficient information transfer by Poisson neurons
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F16%3A00458440" target="_blank" >RIV/67985823:_____/16:00458440 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.3934/mbe.2016004" target="_blank" >http://dx.doi.org/10.3934/mbe.2016004</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3934/mbe.2016004" target="_blank" >10.3934/mbe.2016004</a>
Alternative languages
Result language
angličtina
Original language name
Efficient information transfer by Poisson neurons
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA15-08066S" target="_blank" >GA15-08066S: Efficiency of information transfer and the role of energetic constraints in neuronal systems</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mathematical Biosciences and Engineering
ISSN
1547-1063
e-ISSN
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Volume of the periodical
13
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
509-520
UT code for WoS article
000373930200005
EID of the result in the Scopus database
2-s2.0-84955101627