How attention and reinforcers jointly optimize the associations between sensory representations, working memory and motor programs

2011-07-01

Presented at the Annual Computational Neuroscience Meeting, Stockholm, Sweden

Additional Metadata
Keywords	Reinforcement Learning, Artificial Neural Networks
THEME	Life Sciences (theme 5), Energy (theme 4)
Publisher	BioMed Central Ltd.
Editor	J.-M. Fellous , A. Prinz
Journal	BMC Neuroscience
Project	Teaching and Learning in Multi Agent Systems
Conference	Annual Computational Neuroscience Meeting
Grant	This work was funded by the The Netherlands Organisation for Scientific Research (NWO); grant id nwo/612.066.826 - Teaching and Learning in Multi Agent Systems
Organisation	Evolutionary Intelligence
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Rombouts, J., Bohte, S., & Roelfsema, P. (2011). How attention and reinforcers jointly optimize the associations between sensory representations, working memory and motor programs. In J.-M. Fellous & A. Prinz (Eds.), BMC Neuroscience (Vol. 12). BioMed Central Ltd.

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