Neural mechanism for stochastic behaviour during a competitive game

DOI10.1016/j.neunet.2006.05.044zbMath1103.68819OpenAlexW2030612334WikidataQ35546766 ScholiaQ35546766MaRDI QIDQ853274

Daeyeol Lee, Xiao-Jing Wang, Alireza Soltani

Publication date: 15 November 2006

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc1752206

zbMATH Keywords

game theorydecision makingreinforcement learningsynaptic plasticitymeta-learningreward-dependent stochastic Hebbian learning rule

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Applications of game theory (91A80) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (3)

Learning flexible sensori-motor mappings in a complex network ⋮ Statistical Mechanics of Reward-Modulated Learning in Decision-Making Networks ⋮ Dynamical Regimes in Neural Network Models of Matching Behavior

Cites Work

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• The perception of randomness
• Learning behavior in an experimental matching pennies game
• Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates
• Model Selection and Multimodel Inference

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