Spike-time reliability of periodically driven integrate-and-fire neurons

被引:12
作者
Tiesinga, PHE
Fellous, JM
Sejnowski, TJ
机构
[1] Salk Inst Biol Studies, Sloan Swartz Ctr Theoret Neurobiol, Computat Neurobiol Lab, La Jolla, CA 92037 USA
[2] Salk Inst Biol Studies, Howard Hughes Med Inst, La Jolla, CA 92037 USA
关键词
neural code; oscillation; phase locking; precision;
D O I
10.1016/S0925-2312(02)00390-9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The response of model neurons driven by a periodic current converges onto mode-locked attractors. Reliability, defined as the noise stability of the attractor, was studied as a function of the drive frequency and noise strength. For weak noise, the neuron remained on one attractor and reliability was high. For intermediate noise strength, transitions between attractors occurred. For strong noise, mode locking became unstable. The attractor was most stable for frequencies for which the neuron produced one spike on each cycle. The prediction of a reliability resonance as a function of drive frequency has been observed in vitro in cortical neurons. (C) 2002 Published by Elsevier Science B.V.
引用
收藏
页码:195 / 200
页数:6
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