Performance breakdown in optimal stimulus decoding
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F15%3A00444770" target="_blank" >RIV/67985823:_____/15:00444770 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1088/1741-2560/12/3/036012" target="_blank" >http://dx.doi.org/10.1088/1741-2560/12/3/036012</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1741-2560/12/3/036012" target="_blank" >10.1088/1741-2560/12/3/036012</a>
Alternative languages
Result language
angličtina
Original language name
Performance breakdown in optimal stimulus decoding
Original language description
We show that the optimal decoding often displays a threshold-like shift in performance in dependence on the neuronal population size. The onset of the threshold determines a critical range where a small increment in size, signal-to-noise ratio or observation time yields a dramatic gain in the decoding precision. We demonstrate the existence of such threshold regions in early auditory and olfactory information coding
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
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Neural Engineering
ISSN
1741-2560
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
3
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
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UT code for WoS article
000354998600013
EID of the result in the Scopus database
2-s2.0-84930225005