A novel integrate-and-fire model neuron is proposed to account for a non-monotonic f-I response function, as experimentally observed. As opposed to classical forms of adaptation, the present integrate- and-fire model the spike-emission process incorporates a state - dependent inactivation that makes the probability of emitting a spike decreasing as a function of the mean depolarization level instead of the mean firing rate. © Springer-Verlag Berlin Heidelberg 2002.
Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron / Giugliano, M.; La Camera, G.; Rauch, A.; Luscher, H. R.; Fusi, S.. - 2415:(2002), pp. 141-146. (Intervento presentato al convegno ICANN: International Conference on Artificial Neural Networks tenutosi a Madrid, Spaibn nel 28-30 august 2002) [10.1007/3-540-46084-5_24].
Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron
Giugliano, M.;
2002-01-01
Abstract
A novel integrate-and-fire model neuron is proposed to account for a non-monotonic f-I response function, as experimentally observed. As opposed to classical forms of adaptation, the present integrate- and-fire model the spike-emission process incorporates a state - dependent inactivation that makes the probability of emitting a spike decreasing as a function of the mean depolarization level instead of the mean firing rate. © Springer-Verlag Berlin Heidelberg 2002.| File | Dimensione | Formato | |
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