Integration and transmission of distributed deterministic neural activity in feed-forward networks. - Archive ouverte HAL Access content directly
Journal Articles Brain Research Year : 2012

Integration and transmission of distributed deterministic neural activity in feed-forward networks.

(1, 2) , (3)
1
2
3

Abstract

A ten layer feed-forward network characterized by diverging/converging patterns of projection between successive layers of regular spiking (RS) neurons is activated by an external spatiotemporal input pattern fed to Layer 1 in presence of stochastic background activities fed to all layers. We used three dynamical systems to derive the external input spike trains including the temporal information, and three types of neuron models for the network, i.e. either a network formed either by neurons modeled by exponential integrate-and-fire dynamics (RS-EIF, Fourcaud-Trocmé et al., 2003), or by simple spiking neurons (RS-IZH, Izhikevich, 2004) or by multiple-timescale adaptive threshold neurons (RS-MAT, Kobayashi et al., 2009), given five intensities for the background activity. The assessment of the temporal structure embedded in the output spike trains was carried out by detecting the preferred firing sequences for the reconstruction of de-noised spike trains (Asai and Villa, 2008). We confirmed that the RS-MAT model is likely to be more efficient in integrating and transmitting the temporal structure embedded in the external input. We observed that this structure could be propagated not only up to the 10th layer but in some cases it was retained better beyond the 4th downstream layers. This study suggests that diverging/converging network structures, by the propagation of synfire activity, could play a key role in the transmission of complex temporal patterns of discharges associated to deterministic nonlinear activity. This article is part of a Special Issue entitled Neural Coding.
Fichier principal
Vignette du fichier
Asai_2012_Integration_And_Transmission_AA.pdf (1.48 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inserm-00851250 , version 1 (13-08-2013)

Identifiers

Cite

Yoshiyuki Asai, Alessandro E. P. Villa. Integration and transmission of distributed deterministic neural activity in feed-forward networks.. Brain Research, 2012, 1434, pp.17-33. ⟨10.1016/j.brainres.2011.10.012⟩. ⟨inserm-00851250⟩

Collections

INSERM UGA U836
133 View
249 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More