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.
We are grateful to Anne Tscherter, Dr. Pascal Darbon and Dr. Jürg Streit for fruitful discussions and comments. M.G. is supported by the Human Frontier Science Program Organization (grant LT00561/2001-B).
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Giugliano, M., La Camera, G., Rauch, A., Lüscher, HR., Fusi, S. (2002). Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron. In: Dorronsoro, J.R. (eds) Artificial Neural Networks — ICANN 2002. ICANN 2002. Lecture Notes in Computer Science, vol 2415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46084-5_24
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DOI: https://doi.org/10.1007/3-540-46084-5_24
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