Effect of spontaneous activity on stimulus detection in a
simple neuronal model

J 2016

Effect of spontaneous activity on stimulus detection in a simple neuronal model

LEVÁKOVÁ, Marie

Základní údaje

Originální název

Effect of spontaneous activity on stimulus detection in a simple neuronal model

Autoři

LEVÁKOVÁ, Marie (203 Česká republika, garant, domácí)

Vydání

Mathematical Biosciences and Engineering, SPRINGFIELD, AMER INST MATHEMATICAL SCIENCES, 2016, 1547-1063

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10103 Statistics and probability

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 1.035

Kód RIV

RIV/00216224:14310/16:00087784

Organizační jednotka

Přírodovědecká fakulta

DOI

http://dx.doi.org/10.3934/mbe.2016007

UT WoS

000373930200008

Klíčová slova anglicky

Fisher information; latency coding; spontaneous activity; renewal process; neuroscience

Štítky

AKR, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 5. 4. 2017 10:27, Ing. Andrea Mikešková

Anotace

V originále

It is studied what level of a continuous-valued signal is optimally estimable on the basis of first-spike latency neuronal data. When a spontaneous neuronal activity is present, the first spike after the stimulus onset may be caused either by the stimulus itself, or it may be a result of the prevailing spontaneous activity. Under certain regularity conditions, Fisher information is the inverse of the variance of the best estimator. It can be considered as a function of the signal intensity and then indicates accuracy of the estimation for each signal level. The Fisher information is normalized with respect to the time needed to obtain an observation. The accuracy of signal level estimation is investigated in basic discharge patterns modelled by a Poisson and a renewal process and the impact of the complex interaction between spontaneous activity and a delay of the response is shown.

Návaznosti

GA15-06991S, projekt VaV

Název: Analýza funkcionálních dat a související témata

Investor: Grantová agentura ČR, Analýza funkcionálních dat a související témata

MUNI/A/1234/2015, interní kód MU

Název: Matematické a statistické modelování (Akronym: Matematické a statistické modelování)

Investor: Masarykova univerzita, Matematické a statistické modelování, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

LEVÁKOVÁ, Marie. Effect of spontaneous activity on stimulus detection in a simple neuronal model. Mathematical Biosciences and Engineering. SPRINGFIELD: AMER INST MATHEMATICAL SCIENCES, 2016, roč. 13, č. 2, s. 551-568. ISSN 1547-1063. Dostupné z: https://dx.doi.org/10.3934/mbe.2016007.

@article{1331586,
   author = {Leváková, Marie},
   article_location = {SPRINGFIELD},
   article_number = {2},
   doi = {http://dx.doi.org/10.3934/mbe.2016007},
   keywords = {Fisher information; latency coding; spontaneous activity; renewal process; neuroscience},
   language = {eng},
   issn = {1547-1063},
   journal = {Mathematical Biosciences and Engineering},
   title = {Effect of spontaneous activity on stimulus detection in a simple neuronal model},
   url = {https://aimsciences.org/journals/displayArticlesnew.jsp?paperID=12217},
   volume = {13},
   year = {2016}
}

TY  - JOUR
ID  - 1331586
AU  - Leváková, Marie
PY  - 2016
TI  - Effect of spontaneous activity on stimulus detection in a simple neuronal model
JF  - Mathematical Biosciences and Engineering
VL  - 13
IS  - 2
SP  - 551-568
EP  - 551-568
PB  - AMER INST MATHEMATICAL SCIENCES
SN  - 15471063
KW  - Fisher information
KW  - latency coding
KW  - spontaneous activity
KW  - renewal process
KW  - neuroscience
UR  - https://aimsciences.org/journals/displayArticlesnew.jsp?paperID=12217
L2  - https://aimsciences.org/journals/displayArticlesnew.jsp?paperID=12217
N2  - It is studied what level of a continuous-valued signal is optimally estimable on the basis of first-spike latency neuronal data. When a spontaneous neuronal activity is present, the first spike after the stimulus onset may be caused either by the stimulus itself, or it may be a result of the prevailing spontaneous activity. Under certain regularity conditions, Fisher information is the inverse of the variance of the best estimator. It can be considered as a function of the signal intensity and then indicates accuracy of the estimation for each signal level. The Fisher information is normalized with respect to the time needed to obtain an observation. The accuracy of signal level estimation is investigated in basic discharge patterns modelled by a Poisson and a renewal process and the impact of the complex interaction between spontaneous activity and a delay of the response is shown.
ER  -

LEVÁKOVÁ, Marie. Effect of spontaneous activity on stimulus detection in a simple neuronal model. \textit{Mathematical Biosciences and Engineering}. SPRINGFIELD: AMER INST MATHEMATICAL SCIENCES, 2016, roč.~13, č.~2, s.~551-568. ISSN~1547-1063. Dostupné z: https://dx.doi.org/10.3934/mbe.2016007.

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