| Year |
Citation |
Score |
| 2023 |
Bennett D, Radulescu A, Zorowitz S, Felso V, Niv Y. Affect-congruent attention modulates generalized reward expectations. Plos Computational Biology. 19: e1011707. PMID 38127874 DOI: 10.1371/journal.pcbi.1011707 |
0.593 |
|
| 2022 |
Song M, Baah PA, Cai MB, Niv Y. Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning. Plos Computational Biology. 18: e1010699. PMID 36417419 DOI: 10.1371/journal.pcbi.1010699 |
0.561 |
|
| 2022 |
Song M, Takahashi YK, Burton AC, Roesch MR, Schoenbaum G, Niv Y, Langdon AJ. Minimal cross-trial generalization in learning the representation of an odor-guided choice task. Plos Computational Biology. 18: e1009897. PMID 35333867 DOI: 10.1371/journal.pcbi.1009897 |
0.685 |
|
| 2021 |
Bennett D, Niv Y, Langdon AJ. Value-free reinforcement learning: policy optimization as a minimal model of operant behavior. Current Opinion in Behavioral Sciences. 41: 114-121. PMID 36341023 DOI: 10.1016/j.cobeha.2021.04.020 |
0.614 |
|
| 2021 |
Hitchcock P, Forman E, Rothstein N, Zhang F, Kounios J, Niv Y, Sims C. Rumination Derails Reinforcement Learning with Possible Implications for Ineffective Behavior. Clinical Psychological Science : a Journal of the Association For Psychological Science. 10: 714-733. PMID 35935262 DOI: 10.1177/21677026211051324 |
0.387 |
|
| 2021 |
Gershman SJ, Jones CE, Norman KA, Monfils MH, Niv Y. Corrigendum: Gradual extinction prevents the return of fear: implications for the discovery of state. Frontiers in Behavioral Neuroscience. 15: 786900. PMID 34912199 DOI: 10.3389/fnbeh.2021.786900 |
0.516 |
|
| 2021 |
Bennett D, Davidson G, Niv Y. A model of mood as integrated advantage. Psychological Review. PMID 34516150 DOI: 10.1037/rev0000294 |
0.313 |
|
| 2021 |
Chan SCY, Schuck NW, Lopatina N, Schoenbaum G, Niv Y. Orbitofrontal cortex and learning predictions of state transitions. Behavioral Neuroscience. PMID 34291969 DOI: 10.1037/bne0000461 |
0.754 |
|
| 2021 |
Radulescu A, Shin YS, Niv Y. Human Representation Learning. Annual Review of Neuroscience. PMID 33730510 DOI: 10.1146/annurev-neuro-092920-120559 |
0.679 |
|
| 2021 |
Rouhani N, Niv Y. Signed and unsigned reward prediction errors dynamically enhance learning and memory. Elife. 10. PMID 33661094 DOI: 10.7554/eLife.61077 |
0.389 |
|
| 2021 |
Eldar E, Felso V, Cohen JD, Niv Y. A pupillary index of susceptibility to decision biases. Nature Human Behaviour. PMID 33398147 DOI: 10.1038/s41562-020-01006-3 |
0.782 |
|
| 2020 |
Drummond N, Niv Y. Model-based decision making and model-free learning. Current Biology : Cb. 30: R860-R865. PMID 32750340 DOI: 10.1016/j.cub.2020.06.051 |
0.356 |
|
| 2020 |
Rouhani N, Norman KA, Niv Y, Bornstein AM. Reward prediction errors create event boundaries in memory. Cognition. 203: 104269. PMID 32563083 DOI: 10.1016/J.Cognition.2020.104269 |
0.774 |
|
| 2020 |
Gershman S, Niv Y. Erratum to Gershman and Niv (2012), Learning & Behavior, 40, 255-268. Learning & Behavior. PMID 32415636 DOI: 10.3758/S13420-020-00426-5 |
0.34 |
|
| 2020 |
Sharpe MJ, Batchelor HM, Mueller LE, Yun Chang C, Maes EJP, Niv Y, Schoenbaum G. Dopamine transients do not act as model-free prediction errors during associative learning. Nature Communications. 11: 106. PMID 31913274 DOI: 10.1038/s41467-019-13953-1 |
0.805 |
|
| 2020 |
Bennett D, Erickson M, Silverstein S, Niv Y. A Transdiagnostic Association Between Hypomania and Mood-Learning Interaction Biological Psychiatry. 87: S137. DOI: 10.1016/J.Biopsych.2020.02.366 |
0.402 |
|
| 2019 |
Daniel R, Radulescu A, Niv Y. Intact reinforcement learning but impaired attentional control during multidimensional probabilistic learning in older adults. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 31826943 DOI: 10.1523/Jneurosci.0254-19.2019 |
0.732 |
|
| 2019 |
Zhou J, Montesinos-Cartagena M, Wikenheiser AM, Gardner MPH, Niv Y, Schoenbaum G. Complementary Task Structure Representations in Hippocampus and Orbitofrontal Cortex during an Odor Sequence Task. Current Biology : Cb. PMID 31588004 DOI: 10.1016/J.Cub.2019.08.040 |
0.583 |
|
| 2019 |
Niv Y. Learning task-state representations. Nature Neuroscience. 22: 1544-1553. PMID 31551597 DOI: 10.1038/s41593-019-0470-8 |
0.494 |
|
| 2019 |
Langdon AJ, Song M, Niv Y. Uncovering the 'state': tracing the hidden state representations that structure learning and decision-making. Behavioural Processes. 103891. PMID 31381985 DOI: 10.1016/j.beproc.2019.103891 |
0.658 |
|
| 2019 |
Rouhani N, Niv Y. Depressive symptoms bias the prediction-error enhancement of memory towards negative events in reinforcement learning. Psychopharmacology. PMID 31346654 DOI: 10.1007/s00213-019-05322-z |
0.392 |
|
| 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 |
0.685 |
|
| 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 |
0.73 |
|
| 2019 |
McDougle SD, Butcher PA, Parvin DE, Mushtaq F, Niv Y, Ivry RB, Taylor JA. Neural Signatures of Prediction Errors in a Decision-Making Task Are Modulated by Action Execution Failures. Current Biology : Cb. PMID 31056386 DOI: 10.1016/J.Cub.2019.04.011 |
0.431 |
|
| 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 |
0.683 |
|
| 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 |
0.595 |
|
| 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 |
0.705 |
|
| 2019 |
Niv Y. 168. Learning and Decision Making Across Healthy and Disease States Biological Psychiatry. 85: S70. DOI: 10.1016/j.biopsych.2019.03.182 |
0.407 |
|
| 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 |
0.786 |
|
| 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 |
0.749 |
|
| 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 |
0.676 |
|
| 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 DOI: 10.1016/J.Cobeha.2017.08.003 |
0.775 |
|
| 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 |
0.806 |
|
| 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 |
0.746 |
|
| 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 |
0.785 |
|
| 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 |
0.683 |
|
| 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 |
0.808 |
|
| 2017 |
Gershman SJ, Monfils MH, Norman KA, Niv Y. The computational nature of memory modification. Elife. 6. PMID 28294944 DOI: 10.7554/eLife.23763 |
0.723 |
|
| 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 |
0.774 |
|
| 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 |
0.302 |
|
| 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 |
0.752 |
|
| 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 |
0.786 |
|
| 2017 |
Gershman SJ, Monfils M, Norman KA, Niv Y. Author response: The computational nature of memory modification Elife. DOI: 10.7554/Elife.23763.019 |
0.561 |
|
| 2017 |
Cai MB, Schuck N, Anderson M, Pillow J, Niv Y. Should you trust your RSA result? A Bayesian method for reducing bias in neural representational similarity analysis. Journal of Vision. 17: 571. DOI: 10.1167/17.10.571 |
0.71 |
|
| 2017 |
Bu* J, Radulescu* A, Turk-Browne N, Niv Y. Feature-based reward learning biases dimensional attention Journal of Vision. 17: 1297. DOI: 10.1167/17.10.1297 |
0.678 |
|
| 2017 |
Radulescu A, Leong YC, Niv Y. Predicting trial-by-trial attention dynamics during human reinforcement learning Journal of Vision. 17: 1098. DOI: 10.1167/17.10.1098 |
0.647 |
|
| 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 |
0.768 |
|
| 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 |
0.788 |
|
| 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 |
0.779 |
|
| 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 |
0.455 |
|
| 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 |
0.741 |
|
| 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 |
0.707 |
|
| 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 |
0.635 |
|
| 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 |
0.694 |
|
| 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 |
0.615 |
|
| 2016 |
Arkadir D, Radulescu A, Raymond D, Lubarr N, Bressman SB, Mazzoni P, Niv Y. Author response: DYT1 dystonia increases risk taking in humans Elife. DOI: 10.7554/Elife.14155.015 |
0.557 |
|
| 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 |
0.752 |
|
| 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 |
0.805 |
|
| 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 |
0.621 |
|
| 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 |
0.663 |
|
| 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 |
0.812 |
|
| 2015 |
Gershman SJ, Niv Y. Novelty and Inductive Generalization in Human Reinforcement Learning. Topics in Cognitive Science. PMID 25808176 DOI: 10.1111/tops.12138 |
0.678 |
|
| 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 |
0.708 |
|
| 2015 |
Eldar E, Niv Y. Interaction between emotional state and learning underlies mood instability. Nature Communications. 6: 6149. PMID 25608088 DOI: 10.1038/Ncomms7149 |
0.775 |
|
| 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 |
0.743 |
|
| 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 |
0.757 |
|
| 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 |
0.826 |
|
| 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 |
0.77 |
|
| 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 |
0.643 |
|
| 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 |
0.613 |
|
| 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 |
0.747 |
|
| 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 |
0.631 |
|
| 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 |
0.736 |
|
| 2013 |
Gershman SJ, Niv Y. Perceptual estimation obeys Occam's razor. Frontiers in Psychology. 4: 623. PMID 24137136 DOI: 10.3389/fpsyg.2013.00623 |
0.61 |
|
| 2013 |
Niv Y. Neuroscience: Dopamine ramps up. Nature. 500: 533-5. PMID 23985866 DOI: 10.1038/500533a |
0.375 |
|
| 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 |
0.739 |
|
| 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 |
0.618 |
|
| 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 |
0.802 |
|
| 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 |
0.648 |
|
| 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 |
0.609 |
|
| 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 |
0.536 |
|
| 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 |
0.69 |
|
| 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 |
0.698 |
|
| 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 |
0.723 |
|
| 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 |
0.545 |
|
| 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 |
0.705 |
|
| 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 |
0.781 |
|
| 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 |
0.68 |
|
| 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 |
0.64 |
|
| 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 |
0.683 |
|
| 2010 |
Gershman SJ, Blei DM, Niv Y. Context, learning, and extinction. Psychological Review. 117: 197-209. PMID 20063968 DOI: 10.1037/A0017808 |
0.655 |
|
| 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 |
0.728 |
|
| 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 |
0.691 |
|
| 2009 |
Niv Y. Reinforcement learning in the brain Journal of Mathematical Psychology. 53: 139-154. DOI: 10.1016/j.jmp.2008.12.005 |
0.508 |
|
| 2009 |
Niv Y, Montague PR. Theoretical and empirical studies of learning Neuroeconomics. 331-351. DOI: 10.1016/B978-0-12-374176-9.00022-1 |
0.32 |
|
| 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. |
0.612 |
|
| 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 |
0.364 |
|
| 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 |
0.577 |
|
| 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 |
0.675 |
|
| 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 |
0.629 |
|
| 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 |
0.382 |
|
| 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 |
0.74 |
|
| 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 |
0.763 |
|
| 2006 |
Niv Y, Daw ND, Dayan P. Choice values. Nature Neuroscience. 9: 987-8. PMID 16871163 DOI: 10.1038/nn0806-987 |
0.643 |
|
| 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 |
0.681 |
|
| 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 |
0.72 |
|
| 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 |
0.643 |
|
| 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. |
0.501 |
|
| 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 |
0.596 |
|
| 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 |
0.637 |
|
| 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 |
0.629 |
|
| 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. |
0.546 |
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