Spike generating dynamics and the conditions for spike-time precision in cortical neurons

被引:52
作者
Gutkin, B
Ermentrout, GB
Rudolph, M
机构
[1] CNRS, UPR 2191, Unite Neurosci Integrat & Computat, F-91198 Gif Sur Yvette, France
[2] Univ Pittsburgh, Dept Math, Pittsburgh, PA 15260 USA
[3] UCL, Gatsby Computat Neurosci Unit, London WC1N 3AR, England
基金
美国国家科学基金会;
关键词
computational model; cortical neurons; Type I membrane; frequency-locking; SYNAPTIC NOISE; VARIABILITY; INFORMATION; RESPONSES; IMPACT; SYNCHRONIZATION; RELIABILITY; COMPUTATION; INTEGRATION; MECHANISMS;
D O I
10.1023/A:1024426903582
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Temporal precision of spiking response in cortical neurons has been a subject of intense debate. Using a canonical model of spike generation, we explore the conditions for precise and reliable spike timing in the presence of Gaussian white noise. In agreement with previous results we find that constant stimuli lead to imprecise timing, while aperiodic stimuli yield precise spike timing. Under constant stimulus the neuron is a noise perturbed oscillator, the spike times follow renewal statistics and are imprecise. Under an aperiodic stimulus sequence, the neuron acts as a threshold element; the firing times are precisely determined by the dynamics of the stimulus. We further study the dependence of spike-time precision on the input stimulus frequency and find a non-linear tuning whose width can be related to the locking modes of the neuron. We conclude that viewing the neuron as a non-linear oscillator is the key for understanding spike-time precision.
引用
收藏
页码:91 / 103
页数:13
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