Quick Search:

uzh logo
Browse by:
bullet
bullet
bullet
bullet

Zurich Open Repository and Archive

Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-17638

La Camera, G; Giugliano, M; Senn, W; Fusi, S (2008). The response of cortical neurons to in vivo-like input current: theory and experiment: I. Noisy inputs with stationary statistics. Biological Cybernetics, 99(4-5):279-301.

[img] PDF - Registered users only
2MB

View at publisher

Abstract

The study of several aspects of the collective dynamics of interacting neurons can be highly simplified if one assumes that the statistics of the synaptic input is the same for a large population of similarly behaving neurons (mean field approach). In particular, under such an assumption, it is possible to determine and study all the equilibrium points of the network dynamics when the neuronal response to noisy, in vivo-like, synaptic currents is known. The response function can be computed analytically for simple integrate-and-fire neuron models and it can be measured directly in experiments in vitro. Here we review theoretical and experimental results about the neural response to noisy inputs with stationary statistics. These response functions are important to characterize the collective neural dynamics that are proposed to be the neural substrate of working memory, decision making and other cognitive functions. Applications to the case of time-varying inputs are reviewed in a companion paper (Giugliano et al. in Biol Cybern, 2008). We conclude that modified integrate-and-fire neuron models are good enough to reproduce faithfully many of the relevant dynamical aspects of the neuronal response measured in experiments on real neurons in vitro.

Citations

11 citations in Web of Science®
13 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

0 downloads since deposited on 07 Mar 2009
0 downloads since 12 months

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
DDC:570 Life sciences; biology
Language:English
Date:November 2008
Deposited On:07 Mar 2009 17:41
Last Modified:27 Nov 2013 20:07
Publisher:Springer
ISSN:0340-1200
Publisher DOI:10.1007/s00422-008-0272-7
PubMed ID:18985378

Users (please log in): suggest update or correction for this item

Repository Staff Only: item control page