Supervised Learning in a Recurrent Network of Rate-Model Neurons Exhibiting Frequency Adaptation

Authors:
Pierre A. Fortier;Emmanuel A. Guigon;Yves A. Burnod
Affiliations:
Department of Cellular and Molecular Medicine, Univ of Ottawa, Canada, K1H 8M5;INSERM U483, Université P. et M. Curie, 75005 Paris, France;UMR 5015 CNRS, Université Claude Bernard, 69675 Lyon, France
Venue:
Neural Computation
Year:
2005

Citing 3
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Abstract

We develop the general, multivariate case of the Edgeworth approximation of differential entropy and show that it can be more accurate than the nearest-neighbor method in the multivariate case and that it scales better with sample size. Furthermore, ...