The approach of a neuron population firing rate to a new equilibrium: An exact theoretical result

被引:57
作者
Knight, BW
Omurtag, A
Sirovich, L
机构
[1] Rockefeller Univ, New York, NY 10021 USA
[2] Mt Sinai Sch Med, Lab Appl Math, New York, NY 10029 USA
关键词
D O I
10.1162/089976600300015493
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 a noninteracting population of identical neurons to a step change in steady synaptic input can be analytically calculated exactly from the dynamical equation that describes the population's evolution in time. Here, for model integrate-and-fire neurons that undergo a fixed finite upward shift in voltage in response to each synaptic event, we compare the theoretical prediction with the result of a direct simulation of 90,000 model neurons. The degree of agreement supports the applicability of the population dynamics equation. The theoretical prediction is in the form of a series. Convergence is rapid, so that the full result is well approximated by a few terms.
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页码:1045 / 1055
页数:11
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