A HETEROSYNAPTIC LEARNING RULE FOR NEURAL NETWORKS

DOI10.1142/S0129183106009916zbMath1118.68117arXivcond-mat/0608564OpenAlexW3102322688MaRDI QIDQ3430069

Frank Emmert-Streib

Publication date: 20 March 2007

Published in: International Journal of Modern Physics C (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/cond-mat/0608564

zbMATH Keywords

neural networksheterosynaptic plasticitybiological reinforcement learningHebb-like learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

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Cites Work

• Optimization by Simulated Annealing
• Nature's way of optimizing
• Learning representations by back-propagating errors

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