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Activity-driven computational strategies of a dynamically regulated integrate-and-fire model neuron

Giugliano, M.
•
Bove, M.
•
Grattarola, M.
1999
  • journal article

Periodico
JOURNAL OF COMPUTATIONAL NEUROSCIENCE
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 electrical properties differentiation, showing the appearance of activity-dependent shifts between integration and temporal coincidence detection operating mode, for the single unit of a network.
DOI
10.1023/A:1008979302515
WOS
WOS:000082588500004
Archivio
http://hdl.handle.net/20.500.11767/98423
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-0032745271
https://doi.org/10.1023/A:1008979302515
Diritti
closed access
Soggetti
  • coincidence detection...

  • integrate-and-fire

  • dynamic regulation

  • neural code

  • integration

  • Settore BIO/09 - Fisi...

Scopus© citazioni
10
Data di acquisizione
Jun 2, 2022
Vedi dettagli
google-scholar
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