Yael Niv

Assistant Professor
Princeton Neuroscience Institute
and
Psychology Department
Princeton Neuroscience Institute room 143
Princeton University
Email: yael at princeton edu

Curriculum Vitae

My Lab (here is a short article from Innovation Magazine on what we do, and another from Princeton Alumni Weekly)

Open positions in my lab: If you are interested in joining us, please refer to our Frequently Asked Questions page.


Publications

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Refereed Papers (* denotes equally contributing authors)
  1. FA Soto, SJ Gershman & Y Niv (in press) - A Rational Bayesian Model of the Effect of Stimulus Factors on Compound Generalization - Psychological Review
  2. A Solway*, C Diuk*, N Cordova, D Yee, AG Barto, Y Niv & MM Botvinick (in press) - Optimal behavioral hierarchy - PLoS Computational Biology
  3. SJ Gershman & Y Niv (in press) - Novelty and inductive generalization in human reinforcement learning - TopiCS
  4. RC Wilson, YK Takahashi, G Schoenbaum* & Y Niv* (2014) - Orbitofrontal cortex encodes a cognitive map of task space - Neuron 81(2): 267-279 PDF
  5. SJ Gershman, CJ Jones, KA Norman, M-H Monfils & Y Niv (2013) - Gradual extinction prevents the return of fear: implications for the discovery of state - Frontiers in Behavioral Neuroscience 7:164 full text
  6. SJ Gershman & Y Niv (2013) - Perceptual estimation obeys Occam’s razor - Frontiers in Psychology 4:623 full text
  7. E Eldar, JD Cohen & Y Niv (2013) - The effects of neural gain on attention and learning - Nature Neuroscience 16:1146-1153 PDF
  8. A Christakou, SJ Gershman, Y Niv, A Simmons, M Brammer & K Rubia (2013) - Neural and psychological maturation of decision-making in adolescence and young adulthood - Journal of Cognitive Neuroscience 25(11):1807-1823 PDF
  9. C Diuk, K Tsai, JD Wallis, MM Botvinick & Y Niv (2013) - Two simultaneous, but separable, prediction errors in human ventral striatum - Journal of Neuroscience 33(13):5797-5805 PDF
  10. F Lucantonio, TA Stalnaker, Y Shaham, Y Niv & G Schoenbaum (2012) - The impact of orbitofrontal dysfunction on cocaine addiction - Nature Neuroscience 15(3):358-366 PDF
  11. SJ Gershman & Y Niv (2012) - Exploring a latent cause theory of classical conditioning - Learning & Behavior 40:255-268 PDF
  12. RC Wilson & Y Niv (2012) - Inferring relevance in a changing world - Frontiers in Human Neuroscience 5:189 full text
  13. Y Niv, J Edlund, P Dayan & JP O'Doherty (2012) - Neural prediction errors reveal a risk-sensitive reinforcement learning process in the human brain - Journal of Neuroscience 32(2):551-562. PDF
  14. YK Takahashi, MR Roesch, RC Wilson, K Torenson, P O'Donnell, Y Niv* & G Schoenbaum* (2011) - Expectancy-related changes in firing of dopamine neurons depend on orbitofrontal cortex - Nature Neuroscience 14(12):1590-1597. PDF
  15. E Eldar, G Morris & Y Niv (2011) - The effects of motivation on response rate: A hidden semi-Markov model analysis of behavioral dynamics - Journal of Neuroscience Methods 201:251-261. PDF
  16. JJF Ribas-Fernandes, A Solway, C Diuk, JT McGuire, AG Barto, Y Niv & MM Botvinick (2011) - A neural signature of hierarchical reinforcement learning - Neuron 71:370-379. PDF
  17. M McDannald, F Lucantonio, K Burke, Y Niv & G Schoenbaum (2011) - Ventral striatum and orbitofrontal cortex are both required for model-based, but not model-free, reinforcement learning - Journal of Neuroscience 31(7), 2700-2705. PDF
  18. SJ Gershman, JD Cohen & Y Niv (2010) - Learning to selectively attend - Proceedings of the 32nd Annual Conference of the Cognitive Science Society. PDF
  19. SJ Gershman & Y Niv (2010) - Learning latent structure: Carving nature at its joints - Current Opinion in Neurobiology 20(2), 251-256. PDF
  20. SJ Gershman, D Blei & Y Niv (2010) - Context, learning and extinction - Psychological Review 117(1), 197-209. PDF
  21. Y Niv (2009) - Reinforcement learning in the brain - The Journal of Mathematical Psychology, 53(3), 139-154. PDF
  22. MM Botvnick, Y Niv & A Barto (2009) - Hierarchically organized behavior and its neural foundations: A reinforcement-learning perspective - Cognition 113, 262-280. PDF
  23. MT Todd, Y Niv & JD Cohen (2008) - Learning to use working memory in partially observable environments through dopaminergic reinforcement - NIPS 2008. PDF
  24. D Schiller, I Levi, Y Niv, JE LeDoux & EA Phelps (2008) - From fear to safety and back - Reversal of fear in the human brain - The Journal of Neuroscience, 28(45), 11517-11525.
  25. P Dayan & Y Niv (2008) - Reinforcement learning and the brain: The Good, The Bad and The Ugly - Current Opinion in Neurobiology, 18(2), 185-196. PDF
  26. Y Takahashi, G Schoenbaum & Y Niv (2008) - Silencing the critics: Understanding the effects of cocaine sensitization on dorsal and ventral striatum in the context of an Actor/Critic model - Frontiers in Neuroscience, 2, 86-99. PDF
  27. Y Niv & G Schoenbaum (2008) - Dialogues on prediction errors - Trends in Cognitive Sciences, 12(7), 265-272. PDF
  28. Y Niv, ND Daw, D Joel & P Dayan (2007) - Tonic dopamine: Opportunity costs and the control of response vigor - Psychopharmacology, 191(3), 507-520. Abstract PDF Summary by Neuroskeptic
  29. Y Niv, D Joel & P Dayan (2006) - A normative perspective on motivation - Trends in Cognitive Sciences, 10(8), 375-381. Abstract PDF
  30. P Dayan, Y Niv, B Seymour & ND Daw (2006) - The misbehavior of value and the discipline of the will - Neural Networks, 19(8), 1153-1160. Abstract PDF
  31. Y Niv, ND Daw & P Dayan (2005) - How fast to work: Response vigor, motivation and tonic dopamine - In: Y Weiss, B Scholkopf & J Platt, eds., Neural Information Processing Systems 18, 1019-1026, MIT Press (Outstanding Student Paper Award). Abstract PDF
  32. ND Daw, Y Niv & P Dayan (2005) - Uncertainty based competition between prefrontal and dorsolateral striatal systems for behavioral control - Nature Neuroscience, 8(12), 1704-1711. Abstract PDF
  33. Y Niv, MO Duff & P Dayan (2005) - Dopamine, Uncertainty and TD Learning - Behavioral and Brain Functions 1:6 (4 May 2005), doi:10.1186/1744-9081-1-6.Abstract Open Access Full text
  34. Y Niv, D Joel, I Meilijson & E Ruppin (2002) - Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors - Adaptive Behavior 10(1), 5-24. Abstract PDF
  35. D Joel, Y Niv & E Ruppin (2002) - Actor-critic models of the basal ganglia: New anatomical and computational perspectives - Neural Networks 15, 535-547. Abstract PDF
Book Chapters, Commentaries, etc.
  1. Y Niv (2013) - Dopamine ramps up - Nature 500(7464), 533-5 PDF
  2. G Schoenbaum, TA Stalnaker, Y Niv (2013) - How did the chicken cross the road? With her striatal cholinergic interneurons, of course - Neuron, 79(1), 3-6 PDF
  3. C Diuk, A Schapiro, N Cordova, Y Niv & MM Botvinick (in press) - Divide and conquer: Hierarchical reinforcement learning and task decomposition in humans. In: G Baldassare & M Mirolli eds., Computational and Robotic Models of the Hierarchical Organization of Behavior, Springer Verlag
  4. MM Botvinick, Y Niv & A Barto (2012) - Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective. In: A Seth, T Prescott & J Bryson, eds., Modelling Natural Action Selection, pp. 264-269, Cambridge: Cambridge University Press
  5. Y Niv & S Chan (2011) - On the value of information and other rewards - Nature Neuroscience 14(9):1095-1097 PDF
  6. JER Staddon & Y Niv (2008) - Operant conditioning. Scholarpedia, 3(9):2318.
  7. Y Niv & PR Montague (2008) - Theoretical and empirical studies of learning. In: PW Glimcher et al, eds., Neuroeconomics: Decision making and the brain, Chapter 22, 329-249, Elsevier. email me for PDF
  8. Y Niv & M Rivlin-Etzion (2007) - Parkinson's disease: Fighting the will? - Journal of Neuroscience 11777-11779. PDF
  9. Y Niv (2007) - Cost, Benefit, Tonic Phasic: What do response rates tell us about dopamine and motivation? - Annals of the New York Academy of Science 1104, 357-376. PDF
  10. P Dayan, ND Daw, & Y Niv. (in press) - Theoretical and computational neuroscience: Learning, action, inference and neuromodulation. In: L Squire et al, eds., New Encyclopedia of Neuroscience, Elsevier, Amsterdam.
  11. Y Niv, ND Daw & P Dayan (2006) - Choice values - Nature Neuroscience 9(8), 987-988. PDF
  12. ND Daw, Y Niv & P Dayan (2006) - Actions, Policies, Values, and the Basal Ganglia - In: Bezard, E editor, Recent Breakthroughs in Basal Ganglia Research, Nova Science Publishers Inc., New York, USA.
Technical Reports
  • Y Niv, P Dayan & D Joel (2006) - The effects of motivation on extensively trained behavior - Leibniz Technical Report, Hebrew University, 2006-6. Abstract (PDF)
Theses
  • PhD Thesis - Interdisciplinary Center for Neural Computation, The Hebrew University of Jerusalem (2007): The effects of motivation on habitual instrumental behavior (full thesis here)
  • MA Thesis - Psychology Department, Tel Aviv University (2001): Evolution of Reinforcement Learning in Uncertain Environments (PDF)

Teaching


Conferences/Workshops


Miscellaneous and links


Some of my favorite hangouts in... (inspired by this page)


(old) Photo gallery (permanently under construction)

Prague 2001 Trieste 2001

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