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Titolo:
Activity-driven computational strategies of a dynamically regulated integrate-and-fire model neuron
Autore:
Giugliano, M; Bove, M; Grattarola, M;
Indirizzi:
Univ Genoa, Dept Biophys & Elect Engn, Bioelect & Neuroengn Grp, I-16145 Genoa, Italy Univ Genoa Genoa Italy I-16145 ect & Neuroengn Grp, I-16145 Genoa, Italy
Titolo Testata:
JOURNAL OF COMPUTATIONAL NEUROSCIENCE
fascicolo: 3, volume: 7, anno: 1999,
pagine: 247 - 254
SICI:
0929-5313(199911)7:3<247:ACSOAD>2.0.ZU;2-0
Fonte:
ISI
Lingua:
ENG
Soggetto:
CONDUCTANCES; CELLS; SYNCHRONIZATION; NETWORKS; NOISE; CODES;
Keywords:
integrate-and-fire; dynamic regulation; neural code; integration; coincidence detection;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
31
Recensione:
Indirizzi per estratti:
Indirizzo: Giugliano, M Univ Genoa, Dept Biophys & Elect Engn, Bioelect & Neuroengn Grp, Via OperaPia 11A, I-16145 Genoa, Italy Univ Genoa Via Opera Pia 11A Genoa Italy I-16145 enoa, Italy
Citazione:
M. Giugliano et al., "Activity-driven computational strategies of a dynamically regulated integrate-and-fire model neuron", J COMPUT N, 7(3), 1999, pp. 247-254

Abstract

Activity-dependent slow biochemical regulation processes, affecting intrinsic properties of a neuron, might play an important role in determining information processing strategies in the nervous system. We introduce second-order biochemical phenomena into a linear leaky integrate-and-fire model neuron together with a detailed kinetic description for synaptic signal transduction. In this framework, we investigate the membrane intrinsic electricalproperties differentiation, showing the appearance of activity-dependent shifts between integration and temporal coincidence detection operating mode, for the single unit of a network.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 09/07/20 alle ore 18:47:07