Estimating the entropy rate of spike trains via Lempel-Ziv complexity.
Neural Comput
; 16(4): 717-36, 2004 Apr.
Article
em En
| MEDLINE
| ID: mdl-15025827
ABSTRACT
Normalized Lempel-Ziv complexity, which measures the generation rate of new patterns along a digital sequence, is closely related to such important source properties as entropy and compression ratio, but, in contrast to these, it is a property of individual sequences. In this article, we propose to exploit this concept to estimate (or, at least, to bound from below) the entropy of neural discharges (spike trains). The main advantages of this method include fast convergence of the estimator (as supported by numerical simulation) and the fact that there is no need to know the probability law of the process generating the signal. Furthermore, we present numerical and experimental comparisons of the new method against the standard method based on word frequencies, providing evidence that this new approach is an alternative entropy estimator for binned spike trains.
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Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Potenciais de Ação
/
Entropia
/
Modelos Neurológicos
/
Neurônios
Tipo de estudo:
Health_economic_evaluation
Limite:
Animals
Idioma:
En
Ano de publicação:
2004
Tipo de documento:
Article