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Impact of temporal variation and the balance between excitation and inhibition on the output of the perfect integrate-and-fire model

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Publication:1271062
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DOI10.1007/S004220050441zbMath0919.92012OpenAlexW2002357018WikidataQ47907907 ScholiaQ47907907MaRDI QIDQ1271062

David Brown, Jian-Feng Feng

Publication date: 7 January 1999

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s004220050441


zbMATH Keywords

extreme value theorycoefficient of variationintegrate-and-fire modelefferent interspike intervalmean firing timeoutput jitter


Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20)


Related Items (3)

Including Long-Range Dependence in Integrate-and-Fire Models of the High Interspike-Interval Variability of Cortical Neurons ⋮ Note on the coefficient of variations of neuronal spike trains ⋮ Effects of correlated and synchronized stochastic inputs to leaky integrator neuronal model







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