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Updated: Jul 7, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Learning efficiency of redundant neural networks in Bayesian estimation

S Watanabe1

  • 1Precision and Intelligence Laboratory, Tokyo Institute of Technology, Yokohama 226-8503, Japan. swatanab@pi.titech.ac.jp

IEEE Transactions on Neural Networks
|February 6, 2008
PubMed
Summary

Bayesian stochastic complexity in layered neural networks is asymptotically smaller than in regular statistical models when the true distribution is present. This finding suggests improved generalization error for neural networks in such scenarios.

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