Dynamic range in small-world networks of Hodgkin-Huxley neurons with chemical synapses

被引:14
作者
Batista, C. A. S. [1 ]
Viana, R. L. [1 ]
Lopes, S. R. [1 ]
Batista, A. M. [2 ,3 ]
机构
[1] Univ Fed Parana, Dept Phys, BR-80060000 Curitiba, Parana, Brazil
[2] Univ Estadual Ponta Grossa, Dept Math & Stat, Ponta Grossa, Parana, Brazil
[3] Univ Aberdeen, SUPA, Inst Complex Syst & Math Biol, Aberdeen, Scotland
关键词
Small-world networks; Hodgkin-Huxley neurons; Dynamic range; CONNECTIVITY; ORGANIZATION; INPUT; MODEL;
D O I
10.1016/j.physa.2014.05.069
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
According to Stevens' law the relationship between stimulus and response is a power-law within an interval called the dynamic range. The dynamic range of sensory organs is found to be larger than that of a single neuron, suggesting that the network structure plays a key role in the behavior of both the scaling exponent and the dynamic range of neuron assemblies. In order to verify computationally the relationships between stimulus and response for spiking neurons, we investigate small-world networks of neurons described by the Hodgkin-Huxley equations connected by chemical synapses. We found that the dynamic range increases with the network size, suggesting that the enhancement of the dynamic range observed in sensory organs, with respect to single neurons, is an emergent property of complex network dynamics. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:628 / 640
页数:13
相关论文
共 46 条
[1]   Statistical mechanics of complex networks [J].
Albert, R ;
Barabási, AL .
REVIEWS OF MODERN PHYSICS, 2002, 74 (01) :47-97
[2]   Dynamic range of hypercubic stochastic excitable media [J].
Assis, Vladimir R. V. ;
Copelli, Mauro .
PHYSICAL REVIEW E, 2008, 77 (01)
[3]  
BAIR W, 1994, J NEUROSCI, V14, P2870
[4]   Small-world brain networks [J].
Bassett, Danielle Smith ;
Bullmore, Edward T. .
NEUROSCIENTIST, 2006, 12 (06) :512-523
[5]   Simulation of networks of spiking neurons:: A review of tools and strategies [J].
Brette, Romain ;
Rudolph, Michelle ;
Carnevale, Ted ;
Hines, Michael ;
Beeman, David ;
Bower, James M. ;
Diesmann, Markus ;
Morrison, Abigail ;
Goodman, Philip H. ;
Harris, Frederick C., Jr. ;
Zirpe, Milind ;
Natschlaeger, Thomas ;
Pecevski, Dejan ;
Ermentrout, Bard ;
Djurfeldt, Mikael ;
Lansner, Anders ;
Rochel, Olivier ;
Vieville, Thierry ;
Muller, Eilif ;
Davison, Andrew P. ;
El Boustani, Sami ;
Destexhe, Alain .
JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2007, 23 (03) :349-398
[6]   Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons [J].
Brunel, N .
JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2000, 8 (03) :183-208
[7]   Multiscale Model of an Inhibitory Network Shows Optimal Properties near Bifurcation [J].
Buckley, Christopher L. ;
Nowotny, Thomas .
PHYSICAL REVIEW LETTERS, 2011, 106 (23)
[8]   Psychophysics - Are our senses critical? [J].
Chialvo, DR .
NATURE PHYSICS, 2006, 2 (05) :301-302
[9]   A simple modification of the Hodgkin and Huxley equations explains type 3 excitability in squid giant axons [J].
Clay, John R. ;
Paydarfar, David ;
Forger, Daniel B. .
JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2008, 5 (29) :1421-1428
[10]   Concentration tuning mediated by spare receptor capacity in olfactory sensory neurons: A theoretical study [J].
Cleland, TA ;
Linster, C .
NEURAL COMPUTATION, 1999, 11 (07) :1673-1690