• 6089 Citations
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20012019
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Research Output 2001 2019

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Conference contribution
2009
37 Citations (Scopus)

Learning to use working memory in partially observable environments through dopaminergic reinforcement

Todd, M. T., Niv, Y. & Cohen, J. D., Dec 1 2009, Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. p. 1689-1696 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement
Data storage equipment
Learning systems
2007
81 Citations (Scopus)

Cost, benefit, tonic, phasic: What do response rates tell us about dopamine and motivation?

Niv, Y., Jan 1 2007, Reward and Decision Making in Corticobasal Ganglia Networks. Blackwell Publishing Inc., p. 357-376 20 p. (Annals of the New York Academy of Sciences; vol. 1104).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cost-Benefit Analysis
Motivation
Dopamine
Reward
Costs
2005
58 Citations (Scopus)

How fast to work: Response vigor, motivation and tonic dopamine

Niv, Y., Daw, N. D. & Dayan, P., Dec 1 2005, Advances in Neural Information Processing Systems 18 - Proceedings of the 2005 Conference. p. 1019-1026 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Animals
Reinforcement
Productivity
Dopamine
2001
2 Citations (Scopus)

Evolution of reinforcement learning in uncertain environments: Emergence of risk-aversion and matching

Niv, Y., Joel, D., Meilijson, I. & Ruppin, E., Jan 1 2001, Advances in Artificial Life - 6th European Conference, ECAL 2001, Proceedings. Kelemen, J. & Sosik, P. (eds.). Springer Verlag, p. 252-261 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2159).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Risk Aversion
Reinforcement learning
Reinforcement Learning
Foraging
Artificial Life