Learning flexible sensori-motor mappings in a complex network

DOI10.1007/s00422-008-0288-zzbMath1266.68163OpenAlexW2136287399WikidataQ51855874 ScholiaQ51855874MaRDI QIDQ2376421

Walter Senn, Eleni Vasilaki, Xiao-Jing Wang, Stefano Fusi

Publication date: 21 June 2013

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://boris.unibe.ch/31401/

zbMATH Keywords

learningmultilayerhebbianreward-modulatedvisuomotor task

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Uses Software

• darch

Cites Work

• Neural mechanism for stochastic behaviour during a competitive game
• Optimising synaptic learning rules in linear associative memories
• Simple statistical gradient-following algorithms for connectionist reinforcement learning
• Reducing the Dimensionality of Data with Neural Networks
• Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks
• Eluding oblivion with smart stochastic selection of synaptic updates
• Neurons with graded response have collective computational properties like those of two-state neurons.
• Learning Only When Necessary: Better Memories of Correlated Patterns in Networks with Bounded Synapses

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