Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron

Michele Giugliano; Giancarlo La Camera; Alexander Rauch; Hans Rudolf Lüscher; Stefano Fusi

doi:10.1007/3-540-46084-5_24

Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron

Michele Giugliano
, Giancarlo La Camera
, Alexander Rauch
, Hans Rudolf Lüscher
, Stefano Fusi

Neurobiology and Behavior

University of Bern

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

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.

Original language	English
Title of host publication	Artificial Neural Networks, ICANN 2002 - International Conference, Proceedings
Editors	Jose R. Dorronsoro, Jose R. Dorronsoro
Publisher	Springer Verlag
Pages	141-146
Number of pages	6
ISBN (Electronic)	3540440747
ISBN (Print)	9783540440741
DOIs	https://doi.org/10.1007/3-540-46084-5_24
State	Published - 2002
Event	2002 International Conference on Artificial Neural Networks, ICANN 2002 - Madrid, Spain Duration: Aug 28 2002 → Aug 30 2002

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2415 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2002 International Conference on Artificial Neural Networks, ICANN 2002
Country/Territory	Spain
City	Madrid
Period	08/28/02 → 08/30/02

Access to Document

10.1007/3-540-46084-5_24

Cite this

Giugliano, M., La Camera, G., Rauch, A., Lüscher, H. R., & Fusi, S. (2002). Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron. In J. R. Dorronsoro, & J. R. Dorronsoro (Eds.), Artificial Neural Networks, ICANN 2002 - International Conference, Proceedings (pp. 141-146). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2415 LNCS). Springer Verlag. https://doi.org/10.1007/3-540-46084-5_24

Giugliano, Michele ; La Camera, Giancarlo ; Rauch, Alexander et al. / Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron. Artificial Neural Networks, ICANN 2002 - International Conference, Proceedings. editor / Jose R. Dorronsoro ; Jose R. Dorronsoro. Springer Verlag, 2002. pp. 141-146 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{a7b295404e1d4f749f9de079c6467129,

title = "Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron",

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.",

author = "Michele Giugliano and \{La Camera\}, Giancarlo and Alexander Rauch and L{\"u}scher, \{Hans Rudolf\} and Stefano Fusi",

year = "2002",

doi = "10.1007/3-540-46084-5\_24",

language = "English",

isbn = "9783540440741",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "141--146",

editor = "Dorronsoro, \{Jose R.\} and Dorronsoro, \{Jose R.\}",

booktitle = "Artificial Neural Networks, ICANN 2002 - International Conference, Proceedings",

note = "2002 International Conference on Artificial Neural Networks, ICANN 2002 ; Conference date: 28-08-2002 Through 30-08-2002",

}

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 JR Dorronsoro & JR Dorronsoro (eds), Artificial Neural Networks, ICANN 2002 - International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2415 LNCS, Springer Verlag, pp. 141-146, 2002 International Conference on Artificial Neural Networks, ICANN 2002, Madrid, Spain, 08/28/02. https://doi.org/10.1007/3-540-46084-5_24

Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron. / Giugliano, Michele; La Camera, Giancarlo; Rauch, Alexander et al.
Artificial Neural Networks, ICANN 2002 - International Conference, Proceedings. ed. / Jose R. Dorronsoro; Jose R. Dorronsoro. Springer Verlag, 2002. p. 141-146 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2415 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron

AU - Giugliano, Michele

AU - La Camera, Giancarlo

AU - Rauch, Alexander

AU - Lüscher, Hans Rudolf

AU - Fusi, Stefano

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84902159026

U2 - 10.1007/3-540-46084-5_24

DO - 10.1007/3-540-46084-5_24

M3 - Conference contribution

AN - SCOPUS:84902159026

SN - 9783540440741

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 141

EP - 146

BT - Artificial Neural Networks, ICANN 2002 - International Conference, Proceedings

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T2 - 2002 International Conference on Artificial Neural Networks, ICANN 2002

Y2 - 28 August 2002 through 30 August 2002

ER -

Giugliano M, La Camera G, Rauch A, Lüscher HR, Fusi S. Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron. In Dorronsoro JR, Dorronsoro JR, editors, Artificial Neural Networks, ICANN 2002 - International Conference, Proceedings. Springer Verlag. 2002. p. 141-146. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-46084-5_24

Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron

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