Yael Niv, PhD
Affiliations: | 2008- | Psychology and Neuroscience Institute | Princeton University, Princeton, NJ |
Website:
http://www.princeton.edu/~nivlabGoogle:
"Yael Niv"Mean distance: 12.94 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentorPeter Dayan | grad student | Gatsby Computational Neuroscience Unit | |
Daphna Joel | grad student | Hebrew University | |
Jonathan D. Cohen | post-doc | 2007-2008 | Princeton |
Children
Sign in to add traineeAlana Jaskir | research assistant | Brown | |
Natalie Paredes | research assistant | 2020-2021 | Princeton Neuroscience Institute |
Stephanie C.Y. Chan | grad student | 2010- | Google DeepMind |
Stephanie C.Y. Chan | grad student | 2010- | Google DeepMind |
Sevan K Harootonian | grad student | 2020- | Princeton |
Samuel Gershman | grad student | 2008-2013 | Princeton |
Sam J. Gershman | grad student | 2009-2013 | Harvard |
Eran Eldar | grad student | 2009-2014 | Hebrew University |
Angela Radulescu | grad student | 2014-2020 | NYU |
Reka Daniel | post-doc | Princeton Neuroscience Institute | |
Melissa Sharpe | post-doc | UCLA | |
Robert C. Wilson | post-doc | University of Arizona at Tucson | |
Angela Langdon | post-doc | 2013- | Princeton |
Nicolas Schuck | post-doc | 2013- | Max Planck Berlin |
Mingbo Cai | post-doc | 2015- | University of Tokyo |
Sarah DuBrow | post-doc | 2016- | University of Oregon |
Carlos G. Diuk Wasser | post-doc | 2009-2013 |
Collaborators
Sign in to add collaboratorGenela Morris | collaborator | University of Haifa | |
Geoffrey Schoenbaum | collaborator | University of Maryland Medical School | |
Anastasia Christakou | collaborator | 2009- | Princeton |
BETA: Related publications
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Publications
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Mirea DM, Shin YS, DuBrow S, et al. (2024) The Ubiquity of Time in Latent-cause Inference. Journal of Cognitive Neuroscience. 1-14 |
Pisupati S, Langdon A, Konova AB, et al. (2024) The utility of a latent-cause framework for understanding addiction phenomena. Addiction Neuroscience. 10 |
Bennett D, Radulescu A, Zorowitz S, et al. (2023) Affect-congruent attention modulates generalized reward expectations. Plos Computational Biology. 19: e1011707 |
Song M, Baah PA, Cai MB, et al. (2022) Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning. Plos Computational Biology. 18: e1010699 |
Song M, Takahashi YK, Burton AC, et al. (2022) Minimal cross-trial generalization in learning the representation of an odor-guided choice task. Plos Computational Biology. 18: e1009897 |
Bennett D, Niv Y, Langdon AJ. (2021) Value-free reinforcement learning: policy optimization as a minimal model of operant behavior. Current Opinion in Behavioral Sciences. 41: 114-121 |
Hitchcock P, Forman E, Rothstein N, et al. (2021) Rumination Derails Reinforcement Learning with Possible Implications for Ineffective Behavior. Clinical Psychological Science : a Journal of the Association For Psychological Science. 10: 714-733 |
Gershman SJ, Jones CE, Norman KA, et al. (2021) Corrigendum: Gradual extinction prevents the return of fear: implications for the discovery of state. Frontiers in Behavioral Neuroscience. 15: 786900 |
Bennett D, Davidson G, Niv Y. (2021) A model of mood as integrated advantage. Psychological Review |
Chan SCY, Schuck NW, Lopatina N, et al. (2021) Orbitofrontal cortex and learning predictions of state transitions. Behavioral Neuroscience |