-
Je něco špatně v tomto záznamu ?
Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron
R. Kobayashi, J. He, P. Lansky,
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2007
Free Medical Journals
od 2007
PubMed Central
od 2007
Europe PubMed Central
od 2007
ProQuest Central
od 2007-11-02 do 2021-12-31
Open Access Digital Library
od 2007-01-01
Open Access Digital Library
od 2007-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2007
PubMed
26042025
DOI
10.3389/fncom.2015.00059
Knihovny.cz E-zdroje
- Publikační typ
- časopisecké články MeSH
To understand information processing in neuronal circuits, it is important to infer how a sensory stimulus impacts on the synaptic input to a neuron. An increase in neuronal firing during the stimulation results from pure excitation or from a combination of excitation and inhibition. Here, we develop a method for estimating the rates of the excitatory and inhibitory synaptic inputs from a membrane voltage trace of a neuron. The method is based on a modified Ornstein-Uhlenbeck neuronal model, which aims to describe the stimulation effects on the synaptic input. The method is tested using a single-compartment neuron model with a realistic description of synaptic inputs, and it is applied to an intracellular voltage trace recorded from an auditory neuron in vivo. We find that the excitatory and inhibitory inputs increase during stimulation, suggesting that the acoustic stimuli are encoded by a combination of excitation and inhibition.
Department of Biomedical Sciences City University of Hong Kong Hong Kong China
Department of Informatics SOKENDAI Tokyo Japan
Institute of Physiology The Czech Academy of Sciences Prague Czech Republic
Principles of Informatics Research Division National Institute of Informatics Tokyo Japan
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc15023692
- 003
- CZ-PrNML
- 005
- 20210126142427.0
- 007
- ta
- 008
- 150709s2015 sz f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.3389/fncom.2015.00059 $2 doi
- 035 __
- $a (PubMed)26042025
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a sz
- 100 1_
- $a Kobayashi, Ryota $u Principles of Informatics Research Division, National Institute of Informatics Tokyo, Japan ; Department of Informatics, SOKENDAI (The Graduate University for Advanced Studies) Tokyo, Japan.
- 245 10
- $a Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron / $c R. Kobayashi, J. He, P. Lansky,
- 520 9_
- $a To understand information processing in neuronal circuits, it is important to infer how a sensory stimulus impacts on the synaptic input to a neuron. An increase in neuronal firing during the stimulation results from pure excitation or from a combination of excitation and inhibition. Here, we develop a method for estimating the rates of the excitatory and inhibitory synaptic inputs from a membrane voltage trace of a neuron. The method is based on a modified Ornstein-Uhlenbeck neuronal model, which aims to describe the stimulation effects on the synaptic input. The method is tested using a single-compartment neuron model with a realistic description of synaptic inputs, and it is applied to an intracellular voltage trace recorded from an auditory neuron in vivo. We find that the excitatory and inhibitory inputs increase during stimulation, suggesting that the acoustic stimuli are encoded by a combination of excitation and inhibition.
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a He, Jufang $u Department of Biomedical Sciences, City University of Hong Kong Hong Kong, China.
- 700 1_
- $a Lansky, Petr $u Institute of Physiology, The Czech Academy of Sciences Prague, Czech Republic.
- 773 0_
- $w MED00163314 $t Frontiers in computational neuroscience $x 1662-5188 $g Roč. 9, č. - (2015), s. 59
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/26042025 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20150709 $b ABA008
- 991 __
- $a 20210126142423 $b ABA008
- 999 __
- $a ind $b bmc $g 1084024 $s 906685
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2015 $b 9 $c - $d 59 $i 1662-5188 $m Frontiers in computational neuroscience $n Front Comput Neurosci $x MED00163314
- LZP __
- $a Pubmed-20150709