A learning rule to model the development of orientation selectivity in visual cortex

Authors:
Jose M. Jerez;Miguel Atencia;Francisco J. Vico;Enrique Dominguez
Affiliations:
Escuela Técnica Superior de Ingeniería en Informática, Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga;Escuela Técnica Superior de Ingeniería en Informática, Departamento de Matemática Aplicada, Universidad de Málaga;Escuela Técnica Superior de Ingeniería en Informática, Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga;Escuela Técnica Superior de Ingeniería en Informática, Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga
Venue:
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Year:
2003

Citing 3
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Abstract

The bootstrap resampling method may be efficiently used to estimate the generalization error of nonlinear regression models, as artificial neural networks. Nevertheless, the use of the bootstrap implies a high computational load. In this paper we present a simple procedure to obtain a fast approximation of this generalization error with a reduced computation time. This proposal is based on empirical evidence and included in a suggested simulation procedure.