Model based decoding of spike trains.
Biosystems
; 67(1-3): 295-300, 2002.
Article
em En
| MEDLINE
| ID: mdl-12459310
ABSTRACT
Reliably decoding neuronal responses requires knowing what aspects of neuronal responses are stimulus related, and which aspects act as noise. Recent work shows that spike trains can be viewed as stochastic samples from the rate variation function, as estimated by the time dependent spike density function (or normalized peristimulus time histogram). Such spike trains are exactly described by order statistics, and can be decoded millisecond-by-millisecond by iterative application of order statistics.
Buscar no Google
Base de dados:
MEDLINE
Assunto principal:
Potenciais de Ação
/
Modelos Neurológicos
Idioma:
En
Revista:
Biosystems
Ano de publicação:
2002
Tipo de documento:
Article
País de afiliação:
Estados Unidos