Computational algorithms and neuronal network models underlying decision processes

DOI10.1016/J.NEUNET.2006.05.034zbMath1103.68722OpenAlexW1988505801WikidataQ36581830 ScholiaQ36581830MaRDI QIDQ853277

Hiroshi Okamoto, Tomoki Fukai, Yutaka Sakai

Publication date: 15 November 2006

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2006.05.034

zbMATH Keywords

decision makingreinforcement learningrecurrent networkrewardneural integratorbistable neuronsmatching behaviorTD error

Mathematics Subject Classification ID

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

Related Items (4)

Melioration learning in iterated public goods games: The impact of exploratory noise ⋮ Accuracy and response-time distributions for decision-making: linear perfect integrators versus nonlinear attractor-based neural circuits ⋮ Reward-Modulated Hebbian Learning of Decision Making ⋮ A dynamic neural field model of continuous input integration

Cites Work

• Time representing cortical activities: two models inspired by prefrontal persistent activity
• Long-Term Reward Prediction in TD Models of the Dopamine System
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