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From: [email protected]
To: leonardo@****
Sent: Monday, January 16, 2012 2:10:11 AM
Subject: arXiv Replacement -> 1109.2036 in q-bio.NC from leonardo@****
Your replacement of 1109.2036 by submission submit/******* has
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http://arxiv.org/abs/1109.2036
The paper password for this article is: *****
Please share this with your co-authors. They may use it to claim ownership.
Abstract will appear in today’s mailing as:
arXiv:1109.2036
From: Leonardo L. Gollo <[email protected]>
Date: Fri, 9 Sep 2011 15:03:09 GMT (77kb)
Date (revised v2): Fri, 13 Jan 2012 20:10:34 GMT (668kb)
Title: Statistical Physics approach to dendritic computation: The
excitable-wave mean-field approximation
Authors: Leonardo L. Gollo, Osame Kinouchi and Mauro Copelli
Categories: q-bio.NC
Comments: 30 pages, 8 figures
Journal-ref: Phys. Rev. E, 85, 011911 (2012)
DOI: 10.1103/PhysRevE.85.011911
We analytically study the input-output properties of a neuron whose active
dendritic tree, modeled as a Cayley tree of excitable elements, is subjected to
Poisson stimulus. Both single-site and two-site mean-field approximations
incorrectly predict a non-equilibrium phase transition which is not allowed in
the model. We propose an excitable-wave mean-field approximation which shows
good agreement with previously published simulation results [Gollo et al., PLoS
Comput. Biol. 5(6) e1000402 (2009)] and accounts for finite-size effects. We
also discuss the relevance of our results to experiments in neuroscience,
emphasizing the role of active dendrites in the enhancement of dynamic range
and in gain control modulation.
Phys. Rev. E 85, 011911 (2012) [13 pages]
Statistical physics approach to dendritic computation: The excitable-wave mean-field approximation
Leonardo L. Gollo*
IFISC (CSIC – UIB), Instituto de Física Interdisciplinar y Sistemas Complejos, Campus Universitat Illes Balears, E-07122 Palma de Mallorca, Spain
Osame Kinouchi†
Laboratório de Física Estatística e Biologia Computacional, Departamento de Física, FFCLRP, Universidade de São Paulo, Avenida dos Bandeirantes 3900, 14040-901 Ribeirão Preto, São Paulo, Brazil
Mauro Copelli‡
Departamento de Física, Universidade Federal de Pernambuco, 50670-901 Recife, Pernambuco, Brazil
Received 12 September 2011; revised 23 November 2011; published 12 January 2012
We analytically study the input-output properties of a neuron whose active dendritic tree, modeled as a Cayley tree of excitable elements, is subjected to Poisson stimulus. Both single-site and two-site mean-field approximations incorrectly predict a nonequilibrium phase transition which is not allowed in the model. We propose an excitable-wave mean-field approximation which shows good agreement with previously published simulation results [ Gollo et al. PLoS Comput. Biol. 5 e1000402 (2009)] and accounts for finite-size effects. We also discuss the relevance of our results to experiments in neuroscience, emphasizing the role of active dendrites in the enhancement of dynamic range and in gain control modulation.
©2012 American Physical Society
URL:
http://link.aps.org/doi/10.1103/PhysRevE.85.011911
DOI:
10.1103/PhysRevE.85.011911
PACS:
87.19.ll, 05.10.-a, 87.19.lq, 87.19.ls
Comente!