Estimation of the mutual information between ISI's can be a useful tool to characterize dependencies in small neuronal networks. We introduce here a method to compute the mutual information of coupled model neurons by employing the copula function describing the dependence between the spiking distributions.

Estimation of information measures in coupled diffusion neuronal models

GIRAUDO, Maria Teresa;SACERDOTE, Laura Lea;SIROVICH, ROBERTA;ZUCCA, CRISTINA
2011

Abstract

Estimation of the mutual information between ISI's can be a useful tool to characterize dependencies in small neuronal networks. We introduce here a method to compute the mutual information of coupled model neurons by employing the copula function describing the dependence between the spiking distributions.
Joint Mathematics Meetings, New Orleans, January 6-9, 2011
New Orleans, LA
Gennaio 2011
Abstracts of Papers Presented to the American Mathematical Society
AMS
Volume 32, Number 1, Issue 163
228
228
Mutual information; Diffusion processes; Copulae.
Giraudo MT; Sacerdote L.; Sirovich R.; Zucca C.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/92739
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact