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

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.
Artificial Neural Networks — ICANN 2002
2415
141
146
978-3-540-44074-1
978-3-540-46084-8
Springer
Giugliano, M.; La Camera, G.; Rauch, A.; Luscher, H. R.; Fusi, S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11767/99658
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