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Physical Review E
Article
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DIGITAL.CSIC
Article . 2012 . Peer-reviewed
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Physical Review E
Article . 2012 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2011
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Statistical physics approach to dendritic computation: The excitable-wave mean-field approximation

Authors: Gollo, Leonardo L.; Kinouchi, O.; Copelli, Mauro;

Statistical physics approach to dendritic computation: The excitable-wave mean-field approximation

Abstract

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.

30 pages, 8 figures

Country
Spain
Keywords

Quantitative Biology - Subcellular Processes, Models, Statistical, Statistical Mechanics (cond-mat.stat-mech), Cellular Automata and Lattice Gases (nlin.CG), Models, Neurological, Action Potentials, FOS: Physical sciences, Dendrites, Synaptic Transmission, Biological Physics (physics.bio-ph), Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, Animals, Humans, Computer Simulation, Neurons and Cognition (q-bio.NC), Physics - Biological Physics, Nonlinear Sciences - Cellular Automata and Lattice Gases, Subcellular Processes (q-bio.SC), Condensed Matter - Statistical Mechanics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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