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Titolo:
A simple white noise analysis of neuronal light responses
Autore:
Chichilnisky, EJ;
Indirizzi:
Salk Inst Biol Studies, La Jolla, CA 92037 USA Salk Inst Biol Studies La Jolla CA USA 92037 dies, La Jolla, CA 92037 USA
Titolo Testata:
NETWORK-COMPUTATION IN NEURAL SYSTEMS
fascicolo: 2, volume: 12, anno: 2001,
pagine: 199 - 213
SICI:
0954-898X(200105)12:2<199:ASWNAO>2.0.ZU;2-Y
Fonte:
ISI
Lingua:
ENG
Soggetto:
RECEPTIVE-FIELD MICROSTRUCTURE; NONLINEAR BIOLOGICAL-SYSTEMS; RETINAL GANGLION-CELLS; CATS STRIATE CORTEX; SPATIAL SUMMATION; CASCADE MODELS; VISUAL NEURONS; IDENTIFICATION; WIENER;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
23
Recensione:
Indirizzi per estratti:
Indirizzo: Chichilnisky, EJ Salk Inst Biol Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037 USA Salk Inst Biol Studies 10010 N Torrey Pines Rd La Jolla CA USA 92037
Citazione:
E.J. Chichilnisky, "A simple white noise analysis of neuronal light responses", NETWORK-COM, 12(2), 2001, pp. 199-213

Abstract

A white noise technique is presented for estimating the response properties of spiking visual system neurons. The technique is simple, robust, efficient and well suited to simultaneous recordings from multiple neurons. It provides a complete and easily interpretable model of light responses even for neurons that display a common form of response nonlinearity that precludes classical linear systems analysis. A theoretical justification of the technique is presented that relies only on elementary linear algebra and statistics. Implementation is described with examples. The technique and the underlying model of neural responses are validated using recordings from retinal ganglion cells, and in principle are applicable to other neurons. Advantages and disadvantages of the technique relative to classical approaches are discussed.

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Documento generato il 23/01/20 alle ore 18:26:06