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Error-probability noise benefits in threshold neural signal detection.

Ashok Patel1, Bart Kosko

  • 1Department of Electrical Engineering, Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089-2564, USA.

Neural Networks : the Official Journal of the International Neural Network Society
|July 25, 2009
PubMed
Summary

Noise can improve neural signal detection by reducing errors. New theorems and a learning algorithm demonstrate how optimal noise levels enhance performance in threshold neural systems.

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