Yael Niv, PhD - Publications

Affiliations: 
2008- Psychology and Neuroscience Institute Princeton University, Princeton, NJ 
Website:
http://www.princeton.edu/~nivlab

85 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Schuck NW, Niv Y. Sequential replay of nonspatial task states in the human hippocampus. Science (New York, N.Y.). 364. PMID 31249030 DOI: 10.1126/science.aaw5181  1
2019 Cai MB, Schuck NW, Pillow JW, Niv Y. Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias. Plos Computational Biology. 15: e1006299. PMID 31125335 DOI: 10.1371/journal.pcbi.1006299  1
2019 Radulescu A, Niv Y. State representation in mental illness. Current Opinion in Neurobiology. 55: 160-166. PMID 31051434 DOI: 10.1016/j.conb.2019.03.011  1
2019 Zhou J, Gardner MPH, Stalnaker TA, Ramus SJ, Wikenheiser AM, Niv Y, Schoenbaum G. Rat Orbitofrontal Ensemble Activity Contains Multiplexed but Dissociable Representations of Value and Task Structure in an Odor Sequence Task. Current Biology : Cb. PMID 30827919 DOI: 10.1016/j.cub.2019.01.048  1
2019 Radulescu A, Niv Y, Ballard I. Holistic Reinforcement Learning: The Role of Structure and Attention. Trends in Cognitive Sciences. PMID 30824227 DOI: 10.1016/j.tics.2019.01.010  1
2018 Sharpe MJ, Stalnaker T, Schuck NW, Killcross S, Schoenbaum G, Niv Y. An Integrated Model of Action Selection: Distinct Modes of Cortical Control of Striatal Decision Making. Annual Review of Psychology. PMID 30260745 DOI: 10.1146/annurev-psych-010418-102824  1
2018 Sharpe MJ, Chang CY, Liu MA, Batchelor HM, Mueller LE, Jones JL, Niv Y, Schoenbaum G. Author Correction: Dopamine transients are sufficient and necessary for acquisition of model-based associations. Nature Neuroscience. PMID 30018354 DOI: 10.1038/s41593-018-0202-5  1
2018 Rouhani N, Norman KA, Niv Y. Dissociable effects of surprising rewards on learning and memory. Journal of Experimental Psychology. Learning, Memory, and Cognition. PMID 29553767 DOI: 10.1037/xlm0000518  1
2017 DuBrow S, Rouhani N, Niv Y, Norman KA. Does mental context drift or shift? Current Opinion in Behavioral Sciences. 17: 141-146. PMID 29335678  1
2017 Langdon AJ, Sharpe MJ, Schoenbaum G, Niv Y. Model-based predictions for dopamine. Current Opinion in Neurobiology. 49: 1-7. PMID 29096115 DOI: 10.1016/j.conb.2017.10.006  1
2017 Sharpe MJ, Chang CY, Liu MA, Batchelor HM, Mueller LE, Jones JL, Niv Y, Schoenbaum G. Corrigendum: Dopamine transients are sufficient and necessary for acquisition of model-based associations. Nature Neuroscience. 20: 1189. PMID 28745727 DOI: 10.1038/nn0817-1189e  1
2017 Sharpe MJ, Marchant NJ, Whitaker LR, Richie CT, Zhang YJ, Campbell EJ, Koivula PP, Necarsulmer JC, Mejias-Aponte C, Morales M, Pickel J, Smith JC, Niv Y, Shaham Y, Harvey BK, et al. Lateral Hypothalamic GABAergic Neurons Encode Reward Predictions that Are Relayed to the Ventral Tegmental Area to Regulate Learning. Current Biology : Cb. PMID 28690111 DOI: 10.1016/j.cub.2017.06.024  1
2017 Gershman SJ, Monfils MH, Norman KA, Niv Y. Correction: The computational nature of memory modification. Elife. 6. PMID 28530550 DOI: 10.7554/eLife.28693  1
2017 Sharpe MJ, Chang CY, Liu MA, Batchelor HM, Mueller LE, Jones JL, Niv Y, Schoenbaum G. Dopamine transients are sufficient and necessary for acquisition of model-based associations. Nature Neuroscience. PMID 28368385 DOI: 10.1038/nn.4538  1
2017 Gershman SJ, Monfils MH, Norman KA, Niv Y. The computational nature of memory modification. Elife. 6. PMID 28294944 DOI: 10.7554/eLife.23763  1
2017 Cohen JD, Daw N, Engelhardt B, Hasson U, Li K, Niv Y, Norman KA, Pillow J, Ramadge PJ, Turk-Browne NB, Willke TL. Computational approaches to fMRI analysis. Nature Neuroscience. 20: 304-313. PMID 28230848 DOI: 10.1038/nn.4499  1
2017 Auchter A, Cormack LK, Niv Y, Gonzalez-Lima F, Monfils MH. Reconsolidation-Extinction Interactions in Fear Memory Attenuation: The Role of Inter-Trial Interval Variability. Frontiers in Behavioral Neuroscience. 11: 2. PMID 28174526 DOI: 10.3389/fnbeh.2017.00002  1
2017 Leong YC, Radulescu A, Daniel R, DeWoskin V, Niv Y. Dynamic Interaction between Reinforcement Learning and Attention in Multidimensional Environments. Neuron. 93: 451-463. PMID 28103483 DOI: 10.1016/j.neuron.2016.12.040  1
2017 Eldar E, Niv Y. Corrigendum: Interaction between emotional state and learning underlies mood instability. Nature Communications. 8: 14149. PMID 28045045 DOI: 10.1038/ncomms14149  1
2016 Eldar E, Cohen JD, Niv Y. Amplified selectivity in cognitive processing implements the neural gain model of norepinephrine function. The Behavioral and Brain Sciences. 39: e206. PMID 28347392 DOI: 10.1017/S0140525X15001776  1
2016 Eldar E, Niv Y, Cohen JD. Do You See the Forest or the Tree? Neural Gain and Breadth Versus Focus in Perceptual Processing. Psychological Science. 27: 1632-1643. PMID 28195019 DOI: 10.1177/0956797616665578  1
2016 Schuck NW, Cai MB, Wilson RC, Niv Y. Human Orbitofrontal Cortex Represents a Cognitive Map of State Space. Neuron. 91: 1402-1412. PMID 27657452 DOI: 10.1016/j.neuron.2016.08.019  1
2016 Radulescu A, Daniel R, Niv Y. The Effects of Aging on the Interaction Between Reinforcement Learning and Attention. Psychology and Aging. PMID 27599017 DOI: 10.1037/pag0000112  1
2016 Chan SC, Niv Y, Norman KA. A Probability Distribution over Latent Causes, in the Orbitofrontal Cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 7817-28. PMID 27466328 DOI: 10.1523/JNEUROSCI.0659-16.2016  1
2016 Niv Y, Langdon A. Reinforcement learning with Marr. Current Opinion in Behavioral Sciences. 11: 67-73. PMID 27408906 DOI: 10.1016/j.cobeha.2016.04.005  1
2016 Takahashi YK, Langdon AJ, Niv Y, Schoenbaum G. Temporal Specificity of Reward Prediction Errors Signaled by Putative Dopamine Neurons in Rat VTA Depends on Ventral Striatum. Neuron. PMID 27292535 DOI: 10.1016/j.neuron.2016.05.015  1
2016 Arkadir D, Radulescu A, Raymond D, Lubarr N, Bressman SB, Mazzoni P, Niv Y. DYT1 dystonia increases risk taking in humans. Elife. 5. PMID 27249418 DOI: 10.7554/eLife.14155  1
2015 Sharpe MJ, Wikenheiser AM, Niv Y, Schoenbaum G. The State of the Orbitofrontal Cortex. Neuron. 88: 1075-7. PMID 26687216 DOI: 10.1016/j.neuron.2015.12.004  1
2015 Eldar E, Rutledge RB, Dolan RJ, Niv Y. Mood as Representation of Momentum. Trends in Cognitive Sciences. PMID 26545853 DOI: 10.1016/j.tics.2015.07.010  1
2015 Dunsmoor JE, Niv Y, Daw N, Phelps EA. Rethinking Extinction. Neuron. 88: 47-63. PMID 26447572 DOI: 10.1016/j.neuron.2015.09.028  1
2015 Wilson RC, Niv Y. Is Model Fitting Necessary for Model-Based fMRI? Plos Computational Biology. 11: e1004237. PMID 26086934 DOI: 10.1371/journal.pcbi.1004237  1
2015 Niv Y, Daniel R, Geana A, Gershman SJ, Leong YC, Radulescu A, Wilson RC. Reinforcement learning in multidimensional environments relies on attention mechanisms. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 8145-57. PMID 26019331 DOI: 10.1523/JNEUROSCI.2978-14.2015  1
2015 Gershman SJ, Niv Y. Novelty and Inductive Generalization in Human Reinforcement Learning. Topics in Cognitive Science. PMID 25808176 DOI: 10.1111/tops.12138  1
2015 Daniel R, Schuck NW, Niv Y. How to divide and conquer the world, one step at a time. Proceedings of the National Academy of Sciences of the United States of America. 112: 2929-30. PMID 25733879 DOI: 10.1073/pnas.1500975112  1
2015 Eldar E, Niv Y. Interaction between emotional state and learning underlies mood instability. Nature Communications. 6: 6149. PMID 25608088 DOI: 10.1038/ncomms7149  1
2015 Niv Y, Langdon A, Radulescu A. A free-choice premium in the basal ganglia. Trends in Cognitive Sciences. 19: 4-5. PMID 25282675 DOI: 10.1016/j.tics.2014.09.005  1
2015 Gershman SJ, Norman KA, Niv Y. Discovering latent causes in reinforcement learning Current Opinion in Behavioral Sciences. 5: 43-50. DOI: 10.1016/j.cobeha.2015.07.007  1
2014 Geana A, Niv Y. Causal Model Comparison Shows That Human Representation Learning Is Not Bayesian. Cold Spring Harbor Symposia On Quantitative Biology. 79: 161-8. PMID 25943767 DOI: 10.1101/sqb.2014.79.024851  1
2014 Gershman SJ, Radulescu A, Norman KA, Niv Y. Statistical computations underlying the dynamics of memory updating. Plos Computational Biology. 10: e1003939. PMID 25375816 DOI: 10.1371/journal.pcbi.1003939  1
2014 Solway A, Diuk C, Córdova N, Yee D, Barto AG, Niv Y, Botvinick MM. Optimal behavioral hierarchy. Plos Computational Biology. 10: e1003779. PMID 25122479 DOI: 10.1371/journal.pcbi.1003779  1
2014 Soto FA, Gershman SJ, Niv Y. Explaining compound generalization in associative and causal learning through rational principles of dimensional generalization. Psychological Review. 121: 526-58. PMID 25090430 DOI: 10.1037/a0037018  1
2014 Wilson RC, Takahashi YK, Schoenbaum G, Niv Y. Orbitofrontal cortex as a cognitive map of task space. Neuron. 81: 267-79. PMID 24462094 DOI: 10.1016/j.neuron.2013.11.005  1
2014 Diuk C, Schapiro A, Córdova N, Ribas-Fernandes J, Niv Y, Botvinick M. Divide and conquer: Hierarchical reinforcement learning and task decomposition in humans Computational and Robotic Models of the Hierarchical Organization of Behavior. 271-291. DOI: 10.1007/978-3-642-39875-9_12  1
2013 Gershman SJ, Jones CE, Norman KA, Monfils MH, Niv Y. Gradual extinction prevents the return of fear: implications for the discovery of state. Frontiers in Behavioral Neuroscience. 7: 164. PMID 24302899 DOI: 10.3389/fnbeh.2013.00164  1
2013 Gershman SJ, Niv Y. Perceptual estimation obeys Occam's razor. Frontiers in Psychology. 4: 623. PMID 24137136 DOI: 10.3389/fpsyg.2013.00623  1
2013 Niv Y. Neuroscience: Dopamine ramps up. Nature. 500: 533-5. PMID 23985866 DOI: 10.1038/500533a  1
2013 Christakou A, Gershman SJ, Niv Y, Simmons A, Brammer M, Rubia K. Neural and psychological maturation of decision-making in adolescence and young adulthood. Journal of Cognitive Neuroscience. 25: 1807-23. PMID 23859647 DOI: 10.1162/jocn_a_00447  1
2013 Schoenbaum G, Stalnaker TA, Niv Y. How did the chicken cross the road? With her striatal cholinergic interneurons, of course. Neuron. 79: 3-6. PMID 23849192 DOI: 10.1016/j.neuron.2013.06.033  1
2013 Eldar E, Cohen JD, Niv Y. The effects of neural gain on attention and learning. Nature Neuroscience. 16: 1146-53. PMID 23770566 DOI: 10.1038/nn.3428  1
2013 Diuk C, Tsai K, Wallis J, Botvinick M, Niv Y. Hierarchical learning induces two simultaneous, but separable, prediction errors in human basal ganglia. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 5797-805. PMID 23536092 DOI: 10.1523/JNEUROSCI.5445-12.2013  1
2012 Gershman SJ, Niv Y. Exploring a latent cause theory of classical conditioning. Learning & Behavior. 40: 255-68. PMID 22927000 DOI: 10.3758/s13420-012-0080-8  1
2012 Lucantonio F, Stalnaker TA, Shaham Y, Niv Y, Schoenbaum G. The impact of orbitofrontal dysfunction on cocaine addiction. Nature Neuroscience. 15: 358-66. PMID 22267164 DOI: 10.1038/nn.3014  1
2012 Niv Y, Edlund JA, Dayan P, O'Doherty JP. Neural prediction errors reveal a risk-sensitive reinforcement-learning process in the human brain. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 551-62. PMID 22238090 DOI: 10.1523/JNEUROSCI.5498-10.2012  1
2011 Wilson RC, Niv Y. Inferring relevance in a changing world. Frontiers in Human Neuroscience. 5: 189. PMID 22291631 DOI: 10.3389/fnhum.2011.00189  1
2011 Takahashi YK, Roesch MR, Wilson RC, Toreson K, O'Donnell P, Niv Y, Schoenbaum G. Expectancy-related changes in firing of dopamine neurons depend on orbitofrontal cortex. Nature Neuroscience. 14: 1590-7. PMID 22037501 DOI: 10.1038/nn.2957  1
2011 Niv Y, Chan S. On the value of information and other rewards. Nature Neuroscience. 14: 1095-7. PMID 21878921 DOI: 10.1038/nn.2918  1
2011 Ribas-Fernandes JJ, Solway A, Diuk C, McGuire JT, Barto AG, Niv Y, Botvinick MM. A neural signature of hierarchical reinforcement learning. Neuron. 71: 370-9. PMID 21791294 DOI: 10.1016/j.neuron.2011.05.042  1
2011 Eldar E, Morris G, Niv Y. The effects of motivation on response rate: a hidden semi-Markov model analysis of behavioral dynamics. Journal of Neuroscience Methods. 201: 251-61. PMID 21782849 DOI: 10.1016/j.jneumeth.2011.06.028  1
2011 McDannald MA, Lucantonio F, Burke KA, Niv Y, Schoenbaum G. Ventral striatum and orbitofrontal cortex are both required for model-based, but not model-free, reinforcement learning. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 31: 2700-5. PMID 21325538 DOI: 10.1523/JNEUROSCI.5499-10.2011  1
2011 Botvinick MM, Niv Y, Barto AG. Hierarchically organised behaviour and its neural foundations: A reinforcement-learning perspective Modelling Natural Action Selection. 264-299. DOI: 10.1017/CBO9780511731525.017  1
2010 Gershman SJ, Niv Y. Learning latent structure: carving nature at its joints. Current Opinion in Neurobiology. 20: 251-6. PMID 20227271 DOI: 10.1016/j.conb.2010.02.008  1
2010 Gershman SJ, Blei DM, Niv Y. Context, learning, and extinction. Psychological Review. 117: 197-209. PMID 20063968 DOI: 10.1037/a0017808  1
2010 Dayan P, Daw ND, Niv Y. Learning, Action, Inference and Neuromodulation Encyclopedia of Neuroscience. 455-462. DOI: 10.1016/B978-008045046-9.01415-7  1
2009 Botvinick MM, Niv Y, Barto AC. Hierarchically organized behavior and its neural foundations: a reinforcement learning perspective. Cognition. 113: 262-80. PMID 18926527 DOI: 10.1016/j.cognition.2008.08.011  1
2009 Niv Y. Reinforcement learning in the brain Journal of Mathematical Psychology. 53: 139-154. DOI: 10.1016/j.jmp.2008.12.005  1
2009 Niv Y, Montague PR. Theoretical and empirical studies of learning Neuroeconomics. 331-351. DOI: 10.1016/B978-0-12-374176-9.00022-1  1
2009 Todd MT, Niv Y, Cohen JD. Learning to use working memory in partially observable environments through dopaminergic reinforcement Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1689-1696.  1
2008 Schiller D, Levy I, Niv Y, LeDoux JE, Phelps EA. From fear to safety and back: reversal of fear in the human brain. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 28: 11517-25. PMID 18987188 DOI: 10.1523/JNEUROSCI.2265-08.2008  1
2008 Takahashi Y, Schoenbaum G, Niv Y. Silencing the critics: understanding the effects of cocaine sensitization on dorsolateral and ventral striatum in the context of an actor/critic model. Frontiers in Neuroscience. 2: 86-99. PMID 18982111 DOI: 10.3389/neuro.01.014.2008  1
2008 Dayan P, Niv Y. Reinforcement learning: the good, the bad and the ugly. Current Opinion in Neurobiology. 18: 185-96. PMID 18708140 DOI: 10.1016/j.conb.2008.08.003  1
2008 Niv Y, Schoenbaum G. Dialogues on prediction errors. Trends in Cognitive Sciences. 12: 265-72. PMID 18567531 DOI: 10.1016/j.tics.2008.03.006  1
2007 Niv Y, Rivlin-Etzion M. Parkinson's disease: fighting the will? The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 27: 11777-9. PMID 17978012 DOI: 10.1523/JNEUROSCI.4010-07.2007  1
2007 Niv Y. Cost, benefit, tonic, phasic: what do response rates tell us about dopamine and motivation? Annals of the New York Academy of Sciences. 1104: 357-76. PMID 17416928 DOI: 10.1196/annals.1390.018  1
2007 Niv Y, Daw ND, Joel D, Dayan P. Tonic dopamine: opportunity costs and the control of response vigor. Psychopharmacology. 191: 507-20. PMID 17031711 DOI: 10.1007/s00213-006-0502-4  1
2006 Dayan P, Niv Y, Seymour B, Daw ND. The misbehavior of value and the discipline of the will. Neural Networks : the Official Journal of the International Neural Network Society. 19: 1153-60. PMID 16938432 DOI: 10.1016/j.neunet.2006.03.002  1
2006 Niv Y, Daw ND, Dayan P. Choice values. Nature Neuroscience. 9: 987-8. PMID 16871163 DOI: 10.1038/nn0806-987  1
2006 Niv Y, Joel D, Dayan P. A normative perspective on motivation. Trends in Cognitive Sciences. 10: 375-81. PMID 16843041 DOI: 10.1016/j.tics.2006.06.010  1
2005 Daw ND, Niv Y, Dayan P. Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control. Nature Neuroscience. 8: 1704-11. PMID 16286932 DOI: 10.1038/nn1560  1
2005 Sapoznikov B, Vilkin A, Hershkovici M, Fishman M, Eliakim R, Niv Y. Minidose aspirin and gastrointestinal bleeding--a retrospective, case-control study in hospitalized patients. Digestive Diseases and Sciences. 50: 1621-4. PMID 16133960 DOI: 10.1007/s10620-005-2906-0  0.01
2005 Niv Y, Duff MO, Dayan P. Dopamine, uncertainty and TD learning. Behavioral and Brain Functions : Bbf. 1: 6. PMID 15953384 DOI: 10.1186/1744-9081-1-6  1
2005 Niv Y, Daw ND, Dayan P. How fast to work: Response vigor, motivation and tonic dopamine Advances in Neural Information Processing Systems. 1019-1026.  1
2002 Joel D, Niv Y, Ruppin E. Actor-critic models of the basal ganglia: new anatomical and computational perspectives. Neural Networks : the Official Journal of the International Neural Network Society. 15: 535-47. PMID 12371510 DOI: 10.1016/S0893-6080(02)00047-3  1
2002 Niv Y, Joel D, Meilijson I, Ruppin E. Evolution of reinforcement learning in uncertain environments: A simple explanation for complex foraging behaviors Adaptive Behavior. 10: 5-24. DOI: 10.1177/10597123020101001  1
2002 Niv Y, Joel D, Meilijson I, Ruppin E. Evolution of reinforcement learning in foraging bees: A simple explanation for risk averse behavior Neurocomputing. 44: 951-956. DOI: 10.1016/S0925-2312(02)00496-4  1
2001 Niv Y, Joel D, Meilijson I, Ruppin E. Evolution of reinforcement learning in uncertain environments: Emergence of risk-aversion and matching Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2159: 252-261.  1
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