Critical size of neural population for reliable information transmission

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F19%3A00511899" target="_blank" >RIV/67985823:_____/19:00511899 - isvavai.cz</a>
Result on the web
<a href="https://journals.aps.org/pre/abstract/10.1103/PhysRevE.100.050401" target="_blank" >https://journals.aps.org/pre/abstract/10.1103/PhysRevE.100.050401</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1103/PhysRevE.100.050401" target="_blank" >10.1103/PhysRevE.100.050401</a>

Result language
angličtina
Original language name
Critical size of neural population for reliable information transmission
Original language description
It is known that the probability of decoding error has a phase transition at information rate equal to the channel capacity. The corresponding thermodynamic limit requires infinite coding dimension, hence making the actual decoding practically impossible. In this Rapid Communication we analyze finite-size effects that occur in limited neural populations. We report that the achievable rate approaches the asymptote in a remarkably nonlinear manner with the population size. Qualitatively, our findings do not seem to depend on the details of the model.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10102 - Applied mathematics

Project
<a href="/en/project/GA17-06943S" target="_blank" >GA17-06943S: Neural coding precision and its adaptation to the stimulus statistics</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)