Reliability and stochastic synchronization in type I vs. type II neural oscillators

被引：21

作者：

Galan, Roberto F. ^{[1
]}

Ermentrout, G. Bard

Urban, Nathaniel N.

机构：

[1] Carnegie Mellon Univ, Dept Biol Sci, Pittsburgh, PA 15213 USA

[2] Carnegie Mellon Univ, Ctr Neural Basis Cognit, Pittsburgh, PA 15213 USA

[3] Univ Pittsburgh, Dept Math, Pittsburgh, PA 15260 USA

来源：

NEUROCOMPUTING | 2007年 / 70卷 / 10-12期

基金：

美国国家科学基金会;

关键词：

neuronal integrator; neuronal resonator; phase response curve; phase oscillator; synchrony;

D O I：

10.1016/j.neucom.2006.10.075

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Neural reliability and stochastic synchronization are remarkable features of real neurons with important consequences for neural computation. Both phenomena are general properties of any device with a resetting threshold, such as neurons. However, certain characteristics of the single neuron dynamics can notably improve neural reliability and stochastic synchronization. Here we show that neural resonators synchronize more reliably and more robustly than neural integrators. This suggests that neurons conveying sensory information in a spike-timing code are likely to be resonators, as supported by our recent studies on reliability and stochastic synchronization in the olfactory bulb. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：2102 / 2106

页数：5

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