Estimation of the input parameters of the stochastic (leaky) integrate-and-fire neuronal models is studied. It is shown that the presence of the firing threshold brings a systematic error to the estimation procedure. The analytical formulae of the bias are given for two, the randomized random walk and the perfect integrator, models. For the leaky integrate-and-fire model the study is performed by using Monte-Carlo simulated trajectories. The bias is compared with other errors appearing during the estimation and it is documented that the effect of the bias has to be taken into account in the experimental studies.

Errors in estimation of the input signal for integrate-and-fire neuronal models

BIBBONA, Enrico;SACERDOTE, Laura Lea;SIROVICH, ROBERTA
2008-01-01

Abstract

Estimation of the input parameters of the stochastic (leaky) integrate-and-fire neuronal models is studied. It is shown that the presence of the firing threshold brings a systematic error to the estimation procedure. The analytical formulae of the bias are given for two, the randomized random walk and the perfect integrator, models. For the leaky integrate-and-fire model the study is performed by using Monte-Carlo simulated trajectories. The bias is compared with other errors appearing during the estimation and it is documented that the effect of the bias has to be taken into account in the experimental studies.
-78
-011918-3
-011918-10
Bias; input estimator; randomized random walk; diffusion; first passage time; leaky integrate and fire model
Bibbona E.; Lansky P.; Sacerdote L.; Sirovich R.
File in questo prodotto:
File Dimensione Formato  
BLSS_PhysRevE.78.011918.pdf

Accesso aperto

Tipo di file: PDF EDITORIALE
Dimensione 211.23 kB
Formato Adobe PDF
211.23 kB Adobe PDF Visualizza/Apri

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: https://hdl.handle.net/2318/31986
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 9
  • ???jsp.display-item.citation.isi??? 9
social impact