In:
Neural Computation, MIT Press, Vol. 12, No. 2 ( 2000-02-01), p. 367-384
Abstract:
We analyze the effect of noise in integrate-and-fire neurons driven by time-dependent input and compare the diffusion approximation for the membrane potential to escape noise. It is shown that for time-dependent subthreshold input, diffusive noise can be replaced by escape noise with a hazard function that has a gaussian dependence on the distance between the (noise-free) membrane voltage and threshold. The approximation is improved if we add to the hazard function a probability current proportional to the derivative of the voltage. Stochastic resonance in response to periodic input occurs in both noise models and exhibits similar characteristics.
Type of Medium:
Online Resource
ISSN:
0899-7667
,
1530-888X
DOI:
10.1162/089976600300015835
Language:
English
Publisher:
MIT Press
Publication Date:
2000
detail.hit.zdb_id:
1025692-1
detail.hit.zdb_id:
1498403-9
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