http://www.cnr.it/ontology/cnr/individuo/prodotto/ID19046
Different types of noise in leaky-integrate and fire model of neuronal dynamics with discrete periodical input. (Articolo in rivista)
- Type
- Label
- Different types of noise in leaky-integrate and fire model of neuronal dynamics with discrete periodical input. (Articolo in rivista) (literal)
- Anno
- 2004-01-01T00:00:00+01:00 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- V. Di Maio; P. Lansky; R. Rodriguez (literal)
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- Rivista
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- Dendritic synapses are considered as noise in the stochastic models of LIF neurons. The effect of this noise combined with periodical input on the neuronal behavior is investigated. (literal)
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Di Maio Vito, Istituto di Cibernetica \"E. Caianiello\" del CNR
Lansky Petr, Institute of Physiology of Czech Academi of Sciences, Prague
Rodriguez Roger, Centre de Physiology, Theorique, CNRS and Faculté de Sciences de Luminy, Université de la Mediterranée, Luminy-Case, Marseille Cedex, France (literal)
- Titolo
- Different types of noise in leaky-integrate and fire model of neuronal dynamics with discrete periodical input. (literal)
- Abstract
- Different variants of stochastic leaky integrate-and-fire model for the membrane depolarisation of neurons are investigated. The model is driven by a constant input and equidistant pulses of fixed amplitude. These two types of signal are considered under the influence of three types of noise: white noise, jitter on interpulse distance, and noise in the amplitude of pulses. The results of computational experiments demonstrate the enhancement of the signal by noise in subthreshold regime and deterioration of the signal if it is sufficiently strong to carry the information in absence of noise. Our study holds mainly to central neurons that process discrete pulses although an application in sensory system is also available. (literal)
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