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Titolo:
Adaptive noise shaping neural spike encoding and decoding
Autore:
Shin, JH;
Indirizzi:
CALTECH, Div Biol, Computat & Neural Syst Program, Pasadena, CA 91125 USA CALTECH Pasadena CA USA 91125 Neural Syst Program, Pasadena, CA 91125 USA
Titolo Testata:
NEUROCOMPUTING
, volume: 38, anno: 2001,
pagine: 369 - 381
SICI:
0925-2312(200106)38:<369:ANSNSE>2.0.ZU;2-7
Fonte:
ISI
Lingua:
ENG
Soggetto:
UNDERLYING CONTRAST ADAPTATION; CORTICAL-NEURONS; VISUAL-CORTEX; INFORMATION; SENSITIVITY; MECHANISMS; CALCIUM;
Keywords:
neural code; noise shaping phenomena; adaptation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
45
Recensione:
Indirizzi per estratti:
Indirizzo: Shin, JH CALTECH, Div Biol, Computat & Neural Syst Program, Pasadena, CA 91125 USA CALTECH Pasadena CA USA 91125 st Program, Pasadena, CA 91125 USA
Citazione:
J.H. Shin, "Adaptive noise shaping neural spike encoding and decoding", NEUROCOMPUT, 38, 2001, pp. 369-381

Abstract

Shin et al. (Neural Comput. 11 (1999) 1983-2003) proposed an adaptive neural coding model that makes spiking neurons adapt its input/output relation to the stimulus statistics. In a surprisingly precise manner, the adaptive neural coding model has been supported by recent experiments. Although the adaptive neural coding model was developed based on the noise shaping neural coding hypothesis, their connection was not explained clearly in the previous report. In this paper, I present how the noise shaping neural coding hypothesis resulted in such a precise model without any available experimental data at that time. Moreover, I extend the previous model by including a biologically plausible adaptive signal decoding process. Finally, I proposethe relationship between noise shaping spiking neurons and EEG, which is also supported by experiments published in this issue. (C) 2001 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 28/03/20 alle ore 10:48:56