Synaptic noise as a means of implementing weight-perturbation learning

DOI10.1080/09540090500386551zbMath1082.92003OpenAlexW2167953991MaRDI QIDQ3375560

Istvan S. N. Berkeley, Anthony S. Maida, Benjamin A. Rowland

Publication date: 14 March 2006

Published in: Connection Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/09540090500386551

zbMATH Keywords

backpropagationparallel learningsynaptic noisestochastic error descentweight perturbation learning

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (2)

Elman Backpropagation as Reinforcement for Simple Recurrent Networks ⋮ Synaptic noise as a means of implementing weight-perturbation learning

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• Synaptic noise as a means of implementing weight-perturbation learning
• Detecting and Estimating Signals over Noisy and Unreliable Synapses: Information-Theoretic Analysis
• Learning representations by back-propagating errors

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