Firing rate adaptation without losing sensitivity to input fluctuations

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Abstract

Spike frequency adaptation is an important cellular mechanism by which neocortical neurons accommodate their responses to transient, as well as sustained, stimulations. This can be quantified by the slope reduction in the f-I curves due to adaptation. When the neuron is driven by a noisy, in vivo-like current, adaptation might also affect the sensitivity to the fluctuations of the input. We investigate how adaptation, due to calcium-dependent potassium current, affects the dynamics of the depolarization, as well as the stationary f-I curves of a white noise driven, integrate-and-fire model neuron. In addition to decreasing the slope of the f-I curves, adaptation of this type preserves the sensitivity of the neuron to the fluctuations of the input © Springer-Verlag Berlin Heidelberg 2002.

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La Camera, G., Rauch, A., Senn, W., Lüscher, H. R., & Fusi, S. (2002). Firing rate adaptation without losing sensitivity to input fluctuations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2415 LNCS, pp. 180–185). Springer Verlag. https://doi.org/10.1007/3-540-46084-5_30

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