Y. Niv

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Opinion TRENDS in Cognitive Sciences Vol.10 No.8 Full text provided by www.sciencedirect.com A normative perspective on motivation

P. Dayan, Y. Niv, D. Joel, 2022 .

Tonic dopamine: opportunity costs and the control of response vigor

P. Dayan, N. Daw, Y. Niv, 2007, Psychopharmacology.

Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control

P. Dayan, N. Daw, Y. Niv, 2005, Nature Neuroscience.

A Neural Signature of Hierarchical Reinforcement Learning

Joseph T. McGuire, Carlos Diuk, A. Barto, 2011, Neuron.

Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors

Y. Niv, D. Joel, E. Ruppin, 2002 .

Optimal Behavioral Hierarchy

Alec Solway, Andrew G. Barto, Matthew Botvinick, 2014, PLoS Comput. Biol..

Reinforcement learning in the brain

Y. Niv, 2009 .

Dopamine, uncertainty and TD learning

P. Dayan, M. Duff, Y. Niv, 2005, Behavioral and Brain Functions.

Context, learning, and extinction.

D. Blei, Y. Niv, S. Gershman, 2010, Psychological review.

Exploring a latent cause theory of classical conditioning

Y. Niv, S. Gershman, 2012, Learning & Behavior.

tHe Cognitive neuroSCienCe of Motivation and learning

P. Dayan, M. Gluck, Y. Niv, 2008 .

Cost, Benefit, Tonic, Phasic

Y. Niv, 2007, Annals of the New York Academy of Sciences.

Neural Prediction Errors Reveal a Risk-Sensitive Reinforcement-Learning Process in the Human Brain

P. Dayan, J. O'Doherty, Y. Niv, 2012, The Journal of Neuroscience.

Reinforcement learning: The Good, The Bad and The Ugly

P. Dayan, Y. Niv, 2008, Current Opinion in Neurobiology.

Dialogues on prediction errors

Y. Niv, G. Schoenbaum, 2008, Trends in Cognitive Sciences.

Choice values

P. Dayan, N. Daw, Y. Niv, 2006, Nature Neuroscience.

Learning latent structure: carving nature at its joints

Y. Niv, S. Gershman, 2010, Current Opinion in Neurobiology.

Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm

Peter Dayan, Nathaniel D. Daw, Ben Seymour, 2022 .

Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior

Isaac Meilijson, Eytan Ruppin, Yael Niv, 2002, Neurocomputing.

The Computational Nature of Memory Reconsolidation

Samuel J. Gershman, Kenneth A. Norman, Yael Niv, 2016 .

Rethinking Extinction

N. Daw, Y. Niv, E. Phelps, 2015, Neuron.

Explaining compound generalization in associative and causal learning through rational principles of dimensional generalization.

Fabian A. Soto, Y. Niv, S. Gershman, 2014, Psychological review.

Gradual extinction prevents the return of fear: implications for the discovery of state

Carolyn E. Jones, Y. Niv, S. Gershman, 2013, Front. Behav. Neurosci..

Discovering latent causes in reinforcement learning

Y. Niv, S. Gershman, K. Norman, 2015, Current Opinion in Behavioral Sciences.

The effects of neural gain on attention and learning

Jonathan D. Cohen, Y. Niv, Eran Eldar, 2013, Nature Neuroscience.

Efficiency of learning vs. processing: Towards a normative theory of multitasking

Jonathan D. Cohen, Yotam Sagiv, Sebastian Musslick, 2020, CogSci.

Dynamic Interaction between Reinforcement Learning and Attention in Multidimensional Environments

Yuan Chang Leong, Y. Niv, Y. C. Leong, 2017, Neuron.

A computational model of moral judgment

Adam B. Moore, Y. Niv, A. Conway, 2009 .

Actions , Policies , Values , and the Basal Ganglia

P. Dayan, N. Daw, Y. Niv, 2005 .

The Effects of Uncertainty on TD Learning

P. Dayan, M. Duff, Y. Niv, 2022 .

Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors

Isaac Meilijson, Eytan Ruppin, Yael Niv, 2002, Adapt. Behav..

Orbitofrontal Cortex as a Cognitive Map of Task Space

Robert C. Wilson, Y. Niv, G. Schoenbaum, 2014, Neuron.

Actor-critic models of the basal ganglia: new anatomical and computational perspectives

Eytan Ruppin, Yael Niv, Daphna Joel, 2002, Neural Networks.

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

Peter Dayan, Nathaniel D. Daw, Yael Niv, 2005, NIPS.

Motivational effects on behavior: Towards a reinforcement learning model of rates of responding

P. Dayan, N. Daw, Y. Niv, 2005 .

Reinforcement Learning in Multidimensional Environments Relies on Attention Mechanisms

Robert C. Wilson, Yuan Chang Leong, Y. Niv, 2015, The Journal of Neuroscience.

Reinforcement learning with Marr

Yael Niv, Angela Langdon, Y. Niv, 2016, Current Opinion in Behavioral Sciences.

Hierarchical Learning Induces Two Simultaneous, But Separable, Prediction Errors in Human Basal Ganglia

Carlos Diuk, M. Botvinick, Y. Niv, 2013, The Journal of Neuroscience.

Temporal Specificity of Reward Prediction Errors Signaled by Putative Dopamine Neurons in Rat VTA Depends on Ventral Striatum

Y. Niv, G. Schoenbaum, Yuji K. Takahashi, 2016, Neuron.

Operant Conditioning

Yael Niv, John R. Staddon, Y. Niv, 1971 .

Sequential replay of nonspatial task states in the human hippocampus

Nicolas W. Schuck, Y. Niv, 2018, Science.

Dopamine transients are sufficient and necessary for acquisition of model-based associations

Joshua L. Jones, Lauren E. Mueller, Hannah M. Batchelor, 2017, Nature Neuroscience.

Human Orbitofrontal Cortex Represents a Cognitive Map of State Space

Nicolas W. Schuck, Robert C. Wilson, Y. Niv, 2016, Neuron.

Interaction between emotional state and learning underlies mood instability

Y. Niv, Eran Eldar, 2015, Nature communications.

Robert C. Wilson, Y. Niv, M. Roesch, 2011, Nature Neuroscience.

On the value of information and other rewards

Stephanie C. Y. Chan, Y. Niv, 2011, Nature Neuroscience.

Learning task-state representations

Y. Niv, 2019, Nature Neuroscience.

Model-based predictions for dopamine

Y. Niv, G. Schoenbaum, Angela J. Langdon, 2018, Current Opinion in Neurobiology.

From Fear to Safety and Back: Reversal of Fear in the Human Brain

Joseph E LeDoux, Y. Niv, E. Phelps, 2008, The Journal of Neuroscience.

Neuroscience: Dopamine ramps up

Y. Niv, 2013, Nature.

Learning to selectively attend

Jonathan D. Cohen, Y. Niv, S. Gershman, 2010 .

Ventral Striatum and Orbitofrontal Cortex Are Both Required for Model-Based, But Not Model-Free, Reinforcement Learning

Y. Niv, G. Schoenbaum, M. McDannald, 2011, The Journal of Neuroscience.

THE EFFECTS OF MOTIVATION ON HABITUAL INSTRUMENTAL BEHAVIOR

Y. Niv, 2007 .

Mood as Representation of Momentum

Y. Niv, R. Dolan, Eran Eldar, 2016, Trends in Cognitive Sciences.

Sequential replay of non-spatial task states in the human hippocampus

Nicolas W. Schuck, Y. Niv, 2018, bioRxiv.

Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective

M. Botvinick, Y. Niv, Andrew C. Barto, 2009, Cognition.

Running title : THEORY OF MEMORY MODIFICATION The Computational Nature of Memory Modification

Y. Niv, S. Gershman, K. Norman, 2016 .

Opening Burton's Clock: Psychiatric insights from computational cognitive models

Yael Niv, Y. Niv, D. Bennett, 2018 .

Depressive symptoms bias the prediction-error enhancement of memory towards negative events in reinforcement learning

Yael Niv, Nina Rouhani, Y. Niv, 2019, Psychopharmacology.

Computational approaches to fMRI analysis

Kai Li, Theodore L. Willke, Uri Hasson, 2017, Nature Neuroscience.

Human Representation Learning.

Y. Niv, Angela Radulescu, Yeonsoon Shin, 2021, Annual review of neuroscience.

The impact of orbitofrontal dysfunction on cocaine addiction

Y. Niv, G. Schoenbaum, T. Stalnaker, 2012, Nature Neuroscience.

Dissociable effects of surprising rewards on learning and memory

Y. Niv, K. Norman, Nina Rouhani, 2017, bioRxiv.

A pupillary index of susceptibility to decision biases

Jonathan D. Cohen, Y. Niv, Eran Eldar, 2018, Nature Human Behaviour.

DYT1 dystonia increases risk taking in humans

P. Mazzoni, Y. Niv, D. Arkadir, 2016, eLife.

Running head : OCKHAM ’ S RAZOR AND PERCEPTION Perceptual Judgment Obeys Ockham ’ s Razor

Y. Niv, S. Gershman, 2010 .

Model-based decision making and model-free learning

Y. Niv, Nicole Drummond, 2020, Current Biology.

An Integrated Model of Action Selection: Distinct Modes of Cortical Control of Striatal Decision Making.

Nicolas W. Schuck, Y. Niv, G. Schoenbaum, 2019, Annual review of psychology.

Holistic Reinforcement Learning: The Role of Structure and Attention

Ian C. Ballard, Y. Niv, Angela Radulescu, 2019, Trends in Cognitive Sciences.

Silencing the Critics: Understanding the Effects of Cocaine Sensitization on Dorsolateral and Ventral Striatum in the Context of an Actor/Critic Model

Y. Niv, G. Schoenbaum, Yuji K. Takahashi, 2008, Front. Neurosci..

Orbitofrontal cortex and learning predictions of state transitions

Nicolas W. Schuck, Stephanie C. Y. Chan, Y. Niv, 2020, bioRxiv.

Dopamine, uncertainty and TD learning

P. Dayan, M. Duff, Y. Niv, 2005, Behavioral and Brain Functions.

Reinforcement Learning and the Basal Ganglia

Y. Niv, I. Wiener, 2022 .

The effects of motivation on response rate: A hidden semi-Markov model analysis of behavioral dynamics

Y. Niv, G. Morris, Eran Eldar, 2011, Journal of Neuroscience Methods.

TICS 1472 No . of Pages 10 Opinion Mood as Representation of Momentum

Y. Niv, R. Dolan, Eran Eldar, 2015 .

Intact Reinforcement Learning But Impaired Attentional Control During Multidimensional Probabilistic Learning in Older Adults

Y. Niv, Angela Radulescu, R. Daniel, 2019, The Journal of Neuroscience.

Complementary Task Structure Representations in Hippocampus and Orbitofrontal Cortex during an Odor Sequence Task

Matthew P. H. Gardner, Andrew M. Wikenheiser, Y. Niv, 2019, Current Biology.

Reconsolidation-Extinction Interactions in Fear Memory Attenuation: The Role of Inter-Trial Interval Variability

Y. Niv, L. Cormack, F. Gonzalez-Lima, 2017, Frontiers in behavioral neuroscience.

Value-free reinforcement learning: Policy optimization as a minimal model of operant behavior

Y. Niv, Angela J. Langdon, D. Bennett, 2021 .

The Two Cultures of Computational Psychiatry.

Yael Niv, Y. Niv, S. Silverstein, 2019, JAMA psychiatry.

A State Representation for Reinforcement Learning and Decision-Making in the Orbitofrontal Cortex

Yael Niv, Nicolas W. Schuck, Robert C. Wilson, 2018 .

A State Representation for Reinforcement Learning and Decision-Making in the Orbitofrontal Cortex

Yael Niv, Nicolas W. Schuck, Robert C. Wilson, 2017, bioRxiv.

State representation in mental illness

Yael Niv, Angela Radulescu, Y. Niv, 2019, Current Opinion in Neurobiology.

Do You See the Forest or the Tree? Neural Gain and Breadth Versus Focus in Perceptual Processing

Yael Niv, Jonathan D. Cohen, Eran Eldar, 2016, Psychological science.

A probability distribution over latent causes in the orbitofrontal cortex

Kenneth A. Norman, Yael Niv, Stephanie C. Y. Chan, 2016, bioRxiv.

Neural Signatures of Predi ction Errors in a Decision-Making Task Are Modulated by Action Execution Failures Highlights

Richard B. Ivry, Yael Niv, Samuel D. McDougle, 2019 .

Uncertainty-based competition between prefrontal and striatal systems for behavioural control

Yael Niv, Peter Dayan, Nathaniel D. Daw, 2005 .

Rat Orbitofrontal Ensemble Activity Contains Multiplexed but Dissociable Representations of Value and Task Structure in an Odor Sequence Task

Andrew M. Wikenheiser, Y. Niv, G. Schoenbaum, 2019, Current Biology.

The effects of aging on the interaction between reinforcement learning and attention.

Y. Niv, Angela Radulescu, R. Daniel, 2016, Psychology and aging.

Neural Signatures of Prediction Errors in a Decision-Making Task Are Modulated by Action Execution Failures

Darius E. Parvin, Peter A Butcher, Y. Niv, 2019, Current Biology.

Explaining the effectiveness of fear extinction through latent-cause inference

Carolyn E. Jones, Y. Niv, M. Monfils, 2021, Neurons, Behavior, Data analysis, and Theory.

A recurring reproduction error in the administration of the Generalized Anxiety Disorder scale.

Y. Niv, D. Bennett, Gina Choe, 2021, The lancet. Psychiatry.

The effects of induced positive and negative affect on Pavlovian-instrumental interactions

Y. Niv, D. Bennett, S. Zorowitz, 2022, Cognition & emotion.

The case against economic values in the orbitofrontal cortex (or anywhere else in the brain).

Y. Niv, B. Hayden, 2020, Behavioral neuroscience.

Computational Approaches for Studying Mechanisms of Psychiatric Disorders

Z. Kurth-Nelson, J. O'Doherty, Y. Niv, 2016 .

A model of mood as integrated advantage.

Y. Niv, D. Bennett, G. Davidson, 2020, Psychological review.

Learning what is relevant for rewards via serial hypothesis testing

Y. Niv, M. Cai, Mingyu Song, 2019, 2019 Conference on Cognitive Computational Neuroscience.

The challenges of lifelong learning in biological and artificial systems

Y. Niv, Sashank Pisupati, 2022, Trends in Cognitive Sciences.

Correction: The computational nature of memory modification

Y. Niv, S. Gershman, K. Norman, 2017, eLife.

Dopamine transients are sufficient and necessary for acquisition of model-based associations

Joshua L. Jones, Lauren E. Mueller, Hannah M. Batchelor, 2017, Nature Neuroscience.

Corrigendum: Dopamine transients are sufficient and necessary for acquisition of model-based associations.

Joshua L. Jones, Lauren E. Mueller, Hannah M. Batchelor, 2017, Nature neuroscience.

On the Primacy of Behavioral Research for Understanding the Brain

Y. Niv, 2020, Current Controversies in Philosophy of Cognitive Science.

Comment Uncertainty or Prediction Error in Dopamine Ramps

P. Dayan, M. Duff, Y. Niv, 2022 .

Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement

Jonathan D. Cohen, Yael Niv, Michael T. Todd, 2008, NIPS.

Uncovering the ‘state’: Tracing the hidden state representations that structure learning and decision-making

Mingyu Song, Yael Niv, Angela J Langdon, 2019, Behavioural Processes.

Rumination Derails Reinforcement Learning With Possible Implications for Ineffective Behavior

Nina J. Rothstein, Y. Niv, J. Kounios, 2021, Clinical psychological science : a journal of the Association for Psychological Science.

Neural Signatures of Prediction Errors in a Decision-Making Task Are Modulated by Action Execution Failures

Darius E. Parvin, Peter A. Butcher, Y. Niv, 2018, Current Biology.

Translating a Reinforcement Learning Task into a Computational Psychiatry Assay: Challenges and Strategies

Peter Hitchcock, Chris R. Sims, Yael Niv, 2017, CogSci.

Neural and Psychological Maturation of Decision-making in Adolescence and Young Adulthood

Michael J. Brammer, Samuel Gershman, Andrew Simmons, 2013, Journal of Cognitive Neuroscience.

A practical guide for studying human behavior in the lab.

Y. Niv, C. Summerfield, S. Soto-Faraco, 2022, Behavior research methods.

The computational nature of memory modification

Yael Niv, Samuel J Gershman, Kenneth A Norman, 2016, bioRxiv.

Causal Model Comparison Shows That Human Representation Learning Is Not Bayesian.

Yael Niv, Andra Geana, Y. Niv, 2014, Cold Spring Harbor symposia on quantitative biology.

The Effects of Motivation on Extensively Trained Behavior

P. Dayan, Y. Niv, D. Joel, 2006 .

Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias

Ming Bo Cai, Jonathan W Pillow, Jonathan W. Pillow, 2018, bioRxiv.

Toward Precision Cognitive Behavioral Therapy via Reinforcement Learning Theory

Y. Niv, Gila Schoen, 2022 .

Running title : THEORY OF RECONSOLIDATION The Computational Nature of Memory Reconsolidation

Y. Niv, S. Gershman, K. Norman, 2016 .

Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors

Isaac Meilijson, Eytan Ruppin, Yael Niv, 2002, Adapt. Behav..

Inattentive responding can induce spurious associations between task behavior and symptom measures

Y. Niv, D. Bennett, S. Zorowitz, 2021 .

Theoretical and Empirical Studies of Learning

P. Montague, Y. Niv, 2009 .

Is Model Fitting Necessary for Model-Based fMRI?

Robert C. Wilson, Yael Niv, Robert C. Wilson, 2015, PLoS Comput. Biol..

Statistical Computations Underlying the Dynamics of Memory Updating

Samuel Gershman, Kenneth A. Norman, Yael Niv, 2014, PLoS Comput. Biol..

Novelty and Inductive Generalization in Human Reinforcement Learning

Samuel Gershman, Yael Niv, Y. Niv, 2015, Top. Cogn. Sci..

A Probability Distribution over Latent Causes, in the Orbitofrontal Cortex

Yael Niv, Kenneth A Norman, Stephanie C. Y. Chan, 2016, The Journal of Neuroscience.

Does mental context drift or shift?

Yael Niv, Nina Rouhani, Kenneth A Norman, 2017, Current Opinion in Behavioral Sciences.

Divide and Conquer: Hierarchical Reinforcement Learning and Task Decomposition in Humans

Matthew Botvinick, Carlos Diuk, Anna C. Schapiro, 2013, Computational and Robotic Models of the Hierarchical Organization of Behavior.

Perceptual estimation obeys Occam's razor

Samuel J. Gershman, Yael Niv, Y. Niv, 2013, Front. Psychol..

Orbitofrontal cortex and learning predictions of state transitions

Nicolas W. Schuck, Stephanie C. Y. Chan, Y. Niv, 2020, bioRxiv.

Signed and unsigned reward prediction errors dynamically enhance learning and memory

Yael Niv, Nina Rouhani, Y. Niv, 2021, eLife.

Amplified selectivity in cognitive processing implements the neural gain model of norepinephrine function

Y. Niv, Eran Eldar, J. Cohen, 2016, Behavioral and Brain Sciences.

What Do Response Rates Tell Us about Dopamine and Motivation?

Y. Niv, 2007 .

Dopamine transients do not act as model-free prediction errors during associative learning

Hannah M. Batchelor, Etienne J. P. Maes, Y. Niv, 2020, Nature Communications.

Lateral Hypothalamic GABAergic Neurons Encode Reward Predictions that Are Relayed to the Ventral Tegmental Area to Regulate Learning

Y. Niv, G. Schoenbaum, Jeffrey C. Smith, 2017, Current Biology.

Reward prediction errors create event boundaries in memory

Kenneth A. Norman, Aaron M. Bornstein, Yael Niv, 2019, Cognition.

Inferring Relevance in a Changing World

Robert C. Wilson, Yael Niv, Robert C. Wilson, 2012, Front. Hum. Neurosci..

A practical guide for studying human behavior in the lab

Christopher Summerfield, Salvador Soto-Faraco, João Barbosa, 2021, Behavior Research Methods.

A guide for writing anti-racist tenure and promotion letters

Y. Niv, Scott P. Mirabile, Pearis Bellamy, 2022, eLife.

Biased evaluations emerge from inferring hidden causes

Y. Niv, Yeonsoon Shin, 2020, Nature Human Behaviour.

A pupillary index of susceptibility to decision biases

Y. Niv, Eran Eldar, Valkyrie Felso, 2021, Nature Human Behaviour.

Gender and collaboration patterns in a temporal scientific authorship network

Lee M. Gunderson, Gecia Bravo Hermsdorff, Joana Maria, 2019, Appl. Netw. Sci..

Dopamine transients are sufficient and necessary for acquisition of model-based associations

Joshua L. Jones, Hannah M. Batchelor, Y. Niv, 2017, Nature Neuroscience.

Rat Orbitofrontal Ensemble Activity Contains Multiplexed but Dissociable Representations of Value and Task Structure in an Odor Sequence Task

Matthew P. H. Gardner, Seth J. Ramus, Andrew M. Wikenheiser, 2019, Current Biology.

A particle filtering account of selective attention during learning

Yael Niv, Angela Radulescu, Nathaniel D. Daw, 2019, 2019 Conference on Cognitive Computational Neuroscience.

Improving the reliability of cognitive task measures: A narrative review.

Y. Niv, S. Zorowitz, 2023, Biological psychiatry. Cognitive neuroscience and neuroimaging.

Interaction between emotional state and learning underlies mood instability

Y. Niv, Eran Eldar, 2015, Nature Communications.

Corrigendum: Interaction between emotional state and learning underlies mood instability

Y. Niv, Eran Eldar, 2017, Nature Communications.

Should you trust your RSA result? A Bayesian method for reducing bias in neural representational similarity analysis.

Michael J. Anderson, Ming Bo Cai, Jonathan W. Pillow, 2017 .

A Bayesian method for reducing bias in neural representational similarity analysis

Jonathan W. Pillow, Mingbo Cai, Yael Niv, 2016, bioRxiv.

The Psychometric Properties of the Pavlovian Instrumental Transfer Task in an Online Adult Sample

Y. Niv, S. Zorowitz, Natalie Paredes, 2021, Biological Psychiatry.

Dopamine transients are sufficient and necessary for acquisition of model-based associations

Joshua L. Jones, Hannah M. Batchelor, Y. Niv, 2017, Nature Neuroscience.

Rat orbitofrontal ensemble activity contains a multiplexed but value-invariant representation of task structure in an odor sequence task

Geoffrey Schoenbaum, Yael Niv, Matthew P. H. Gardner, 2018 .

Author response: The computational nature of memory modification

Samuel J. Gershman, Kenneth A. Norman, Marie-H. Monfils, 2017 .

The primacy of behavioral research for understanding the brain.

Y. Niv, 2020, Behavioral neuroscience.

Value-free reinforcement learning: policy optimization as a minimal model of operant behavior

Y. Niv, Angela J. Langdon, D. Bennett, 2021, Current Opinion in Behavioral Sciences.

DYT1 dystonia increases risk taking in

P. Mazzoni, Y. Niv, Angela Radulescu, 2016 .

How Did the Chicken Cross the Road? With Her Striatal Cholinergic Interneurons, Of Course

Geoffrey Schoenbaum, Yael Niv, Thomas A. Stalnaker, 2013, Neuron.

Parkinson's Disease: Fighting the Will?

Yael Niv, Michal Rivlin-Etzion, Y. Niv, 2007, The Journal of Neuroscience.

Multiple routes to enhanced memory for emotionally relevant events

L. Schwabe, Y. Niv, Nina Rouhani, 2023, Trends in Cognitive Sciences.

Dopamine transients delivered in learning contexts do not act as model-free prediction errors

Geoffrey Schoenbaum, Yael Niv, Melissa J. Sharpe, 2019, bioRxiv.

Reconciling reinforcement learning models with behavioral extinction and renewal: implications for addiction, relapse, and problem gambling.

Jadin C. Jackson, Z. Kurth-Nelson, Y. Niv, 2007, Psychological review.

Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning

Y. Niv, M. Cai, Mingyu Song, 2022, PLoS Comput. Biol..

Minimal cross-trial generalization in learning the representation of an odor-guided choice task

Y. Niv, M. Roesch, G. Schoenbaum, 2022, PLoS Comput. Biol..

Affect-congruent attention drives changes in reward expectations

Y. Niv, Angela Radulescu, S. Zorowitz, 2021 .

The State of the Orbitofrontal Cortex

Andrew M. Wikenheiser, Y. Niv, G. Schoenbaum, 2015, Neuron.

The primacy of behavioral research for understanding the brain.

Y. Niv, 2021, Behavioral neuroscience.

Inattentive responding can induce spurious associations between task behaviour and symptom measures

Y. Niv, S. Zorowitz, Johanne Solis, 2023, Nature Human Behaviour.

Dialogues on prediction errors

Y. Niv, G. Schoenbaum, 2008, Trends in Cognitive Sciences.

The case against economic values in the orbitofrontal cortex (or anywhere else in the brain).

Y. Niv, B. Hayden, 2020, Behavioral neuroscience.

Sequential replay of nonspatial task states in the human hippocampus

Nicolas W. Schuck, Y. Niv, 2018, Science.

Orbitofrontal Cortex as a Cognitive Map of Task Space

Robert C. Wilson, Y. Niv, G. Schoenbaum, 2014, Neuron.

Adaptive Behavior Evolution of Reinforcement Learning in Uncertain Environments: a Simple Explanation for Complex on Behalf Of: International Society of Adaptive Behavior Evolution of Reinforcement Learning in Uncertain Environments: a Simple Explanation for Complex Foraging Behaviors 2 the Model 3.

Y. Niv, D. Joel, E. Ruppin, 2022 .

Learning latent structure: carving nature at its joints

Y. Niv, S. Gershman, 2010, Current Opinion in Neurobiology.

Two Factors Underlying Maladaptive Inference of Causal Structure Can Drive Resistance to Extinction in Anxiety

Y. Niv, Angela J. Langdon, Sashank Pisupati, 2021, Biological Psychiatry.

Behavioral and Brain Functions

Y. Niv, Michael O Duff, Peter Dayan, 2005 .

Dopamine transients do not act as model-free prediction errors during associative learning

Geoffrey Schoenbaum, Yael Niv, Melissa J. Sharpe, 2020, Nature Communications.

Human inductive biases for aversive continual learning - a hierarchical Bayesian nonparametric model

Y. Niv, Sashank Pisupati, Isabel M. Berwian, 2023, CoLLAs.

Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching

Y. Niv, D. Joel, E. Ruppin, 2001, ECAL.

Reward prediction errors create event boundaries in memory

Y. Niv, K. Norman, A. Bornstein, 2019, Cognition.

The computational nature of memory modification

Y. Niv, S. Gershman, K. Norman, 2016, bioRxiv.

Modelling Rumination as a State-Inference Process

Y. Niv, Sashank Pisupati, Rachel L Bedder, 2023, Annual Meeting of the Cognitive Science Society.

Deep Down, You Are a Scientist

Y. Niv, 2018, Think Tank.