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

P. H.E. Tiesinga; J. M. Fellous; T. J. Sejnowski

doi:10.1016/S0925-2312(02)00390-9

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

P. H.E. Tiesinga, J. M. Fellous, T. J. Sejnowski

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	195-200
Number of pages	6
Journal	Neurocomputing
Volume	44-46
DOIs	https://doi.org/10.1016/S0925-2312(02)00390-9
State	Published - 2002
Externally published	Yes

Keywords

Neural code
Oscillation
Phase locking
Precision

ASJC Scopus subject areas

Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence

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10.1016/S0925-2312(02)00390-9

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title = "Spike-time reliability of periodically driven integrate-and-fire neurons",

abstract = "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.",

keywords = "Neural code, Oscillation, Phase locking, Precision",

author = "Tiesinga, {P. H.E.} and Fellous, {J. M.} and Sejnowski, {T. J.}",

note = "Funding Information: This work was supported by the Sloan-Swartz Center for Theoretical Neurobiology at the Salk Institute and the Howard Hughes Medical Institute. Part of the calculations were performed at the Northeastern University High Performance Computer Center. ",

year = "2002",

doi = "10.1016/S0925-2312(02)00390-9",

language = "English (US)",

volume = "44-46",

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journal = "Neurocomputing",

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TY - JOUR

T1 - Spike-time reliability of periodically driven integrate-and-fire neurons

AU - Tiesinga, P. H.E.

AU - Fellous, J. M.

AU - Sejnowski, T. J.

N1 - Funding Information: This work was supported by the Sloan-Swartz Center for Theoretical Neurobiology at the Salk Institute and the Howard Hughes Medical Institute. Part of the calculations were performed at the Northeastern University High Performance Computer Center.

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

KW - Neural code

KW - Oscillation

KW - Phase locking

KW - Precision

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DO - 10.1016/S0925-2312(02)00390-9

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VL - 44-46

SP - 195

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JO - Neurocomputing

JF - Neurocomputing

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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