Irregular synchronous activity in stochastically-coupled networks of integrate-and-fire neurons

被引:21
|
作者
Lin, JK
Pawelzik, K
Ernst, U
Sejnowski, TJ
机构
[1] MIT, Dept Brain & Cognit Sci, Ctr Biol & Computat Learning, Cambridge, MA 02139 USA
[2] Max Planck Inst Fluid Dynam, D-37018 Gottingen, Germany
[3] SFB 185 Nonlinear Dynam, D-37018 Gottingen, Germany
[4] Howard Hughes Med Inst, Salk Inst, Computat Neurobiol Lab, La Jolla, CA 92037 USA
关键词
D O I
10.1088/0954-898X/9/3/004
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We investigate the spatial and temporal aspects of firing patterns in a network of integrate-and-fire neurons arranged in a one-dimensional ring topology. The coupling is stochastic and shaped like a Mexican hat with local excitation and lateral inhibition. With perfect precision in the couplings, the attractors of activity in the network occur at every position in the ring. Inhomogeneities in the coupling break the translational invariance of localized attractors and lead to synchronization within highly active as well as weakly active clusters. The interspike interval variability is high, consistent with recent observations of spike time distributions in visual cortex. The robustness of our results is demonstrated with more realistic simulations on a network of McGregor neurons which model conductance changes and after-hyperpolarization potassium currents.
引用
收藏
页码:333 / 344
页数:12
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