Stimulus features, resetting curves, and the dependence on adaptation.
J Comput Neurosci
; 34(3): 505-20, 2013 Jun.
Article
em En
| MEDLINE
| ID: mdl-23192247
ABSTRACT
We derive a formula that relates the spike-triggered covariance (STC) to the phase resetting curve (PRC) of a neural oscillator. We use this to show how changes in the shape of the PRC alter the sensitivity of the neuron to different stimulus features, which are the eigenvectors of the STC. We compute the PRC and STC for some biophysical models. We compare the STCs and their spectral properties for a two-parameter family of PRCs. Surprisingly, the skew of the PRC has a larger effect on the spectrum and shape of the STC than does the bimodality of the PRC (which plays a large role in synchronization properties). Finally, we relate the STC directly to the spike-triggered average and apply this theory to an olfactory bulb mitral cell recording.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Simulação por Computador
/
Potenciais de Ação
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Adaptação Fisiológica
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Modelos Neurológicos
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Neurônios
Tipo de estudo:
Prognostic_studies
Limite:
Animals
Idioma:
En
Ano de publicação:
2013
Tipo de documento:
Article