Yael Niv
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Psychology Biology
Yael Niv's Degrees
- Bachelors Psychology Tel Aviv University
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Why Is Yael Niv Influential?
(Suggest an Edit or Addition)According to Wikipedia, Yael Niv is a neuroscientist who studies human and animal reinforcement learning and decision making. She is Professor of Psychology and Neuroscience at Princeton University. Niv is known for her research contributions and for her visible advocacy work fighting against gender bias in neuroscience. Niv is founder of biaswatchneuro.com, a website that tracks statistics in an effort to combat sexism in science.
Yael Niv's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control (2005) (2186)
- Tonic dopamine: opportunity costs and the control of response vigor (2007) (980)
- Orbitofrontal Cortex as a Cognitive Map of Task Space (2014) (614)
- Reinforcement learning in the brain (2009) (579)
- Reinforcement learning: The Good, The Bad and The Ugly (2008) (577)
- Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective (2009) (543)
- Actor-critic models of the basal ganglia: new anatomical and computational perspectives (2002) (461)
- From Fear to Safety and Back: Reversal of Fear in the Human Brain (2008) (387)
- Human Orbitofrontal Cortex Represents a Cognitive Map of State Space (2016) (358)
- The effects of neural gain on attention and learning (2013) (357)
- OPERANT CONDITIONING (1974) (344)
- The misbehavior of value and the discipline of the will (2006) (308)
- Dialogues on prediction errors (2008) (305)
- Context, learning, and extinction. (2010) (301)
- Neural Prediction Errors Reveal a Risk-Sensitive Reinforcement-Learning Process in the Human Brain (2012) (291)
- Reinforcement Learning in Multidimensional Environments Relies on Attention Mechanisms (2015) (267)
- A normative perspective on motivation (2006) (245)
- Learning latent structure: carving nature at its joints (2010) (241)
- Expectancy-related changes in firing of dopamine neurons depend on orbitofrontal cortex (2011) (230)
- Dynamic Interaction between Reinforcement Learning and Attention in Multidimensional Environments (2017) (217)
- Ventral Striatum and Orbitofrontal Cortex Are Both Required for Model-Based, But Not Model-Free, Reinforcement Learning (2011) (214)
- Mood as Representation of Momentum (2016) (192)
- Rethinking Extinction (2015) (188)
- The impact of orbitofrontal dysfunction on cocaine addiction (2012) (185)
- Dopamine transients are sufficient and necessary for acquisition of model-based associations (2017) (185)
- A Neural Signature of Hierarchical Reinforcement Learning (2011) (180)
- Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors (2002) (179)
- Computational approaches to fMRI analysis (2017) (163)
- Learning task-state representations (2019) (159)
- Dopamine, uncertainty and TD learning (2005) (152)
- Sequential replay of nonspatial task states in the human hippocampus (2019) (151)
- Inferring Relevance in a Changing World (2012) (131)
- Gradual extinction prevents the return of fear: implications for the discovery of state (2013) (120)
- Exploring a latent cause theory of classical conditioning (2012) (119)
- Optimal Behavioral Hierarchy (2014) (118)
- Interaction between emotional state and learning underlies mood instability (2015) (116)
- How fast to work: Response vigor, motivation and tonic dopamine (2005) (115)
- Cost, Benefit, Tonic, Phasic (2007) (108)
- Discovering latent causes in reinforcement learning (2015) (106)
- The computational nature of memory modification (2016) (103)
- Neural and Psychological Maturation of Decision-making in Adolescence and Young Adulthood (2013) (99)
- Model-based predictions for dopamine (2018) (96)
- Silencing the Critics: Understanding the Effects of Cocaine Sensitization on Dorsolateral and Ventral Striatum in the Context of an Actor/Critic Model (2008) (94)
- Temporal Specificity of Reward Prediction Errors Signaled by Putative Dopamine Neurons in Rat VTA Depends on Ventral Striatum (2016) (86)
- Dissociable effects of surprising rewards on learning and memory (2017) (82)
- Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement (2008) (81)
- Hierarchical Learning Induces Two Simultaneous, But Separable, Prediction Errors in Human Basal Ganglia (2013) (78)
- An Integrated Model of Action Selection: Distinct Modes of Cortical Control of Striatal Decision Making. (2019) (76)
- Theoretical and Empirical Studies of Learning (2009) (74)
- Lateral Hypothalamic GABAergic Neurons Encode Reward Predictions that Are Relayed to the Ventral Tegmental Area to Regulate Learning (2017) (73)
- Novelty and Inductive Generalization in Human Reinforcement Learning (2015) (73)
- tHe Cognitive neuroSCienCe of Motivation and learning (2008) (72)
- Holistic Reinforcement Learning: The Role of Structure and Attention (2019) (69)
- Explaining compound generalization in associative and causal learning through rational principles of dimensional generalization. (2014) (68)
- Is Model Fitting Necessary for Model-Based fMRI? (2015) (66)
- Statistical Computations Underlying the Dynamics of Memory Updating (2014) (66)
- Choice values (2006) (64)
- What Do Response Rates Tell Us about Dopamine and Motivation? (2007) (61)
- Does mental context drift or shift? (2017) (59)
- A Probability Distribution over Latent Causes, in the Orbitofrontal Cortex (2016) (55)
- Actions , Policies , Values , and the Basal Ganglia (2005) (52)
- Reward prediction errors create event boundaries in memory (2019) (51)
- The case against economic values in the orbitofrontal cortex (or anywhere else in the brain). (2020) (48)
- Rat Orbitofrontal Ensemble Activity Contains Multiplexed but Dissociable Representations of Value and Task Structure in an Odor Sequence Task (2019) (45)
- Do You See the Forest or the Tree? Neural Gain and Breadth Versus Focus in Perceptual Processing (2016) (43)
- A State Representation for Reinforcement Learning and Decision-Making in the Orbitofrontal Cortex (2017) (38)
- Dopamine transients do not act as model-free prediction errors during associative learning (2020) (35)
- Reinforcement learning with Marr (2016) (35)
- Perceptual estimation obeys Occam's razor (2013) (34)
- Complementary Task Structure Representations in Hippocampus and Orbitofrontal Cortex during an Odor Sequence Task (2019) (34)
- Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias (2018) (33)
- The Two Cultures of Computational Psychiatry. (2019) (33)
- Signed and unsigned reward prediction errors dynamically enhance learning and memory (2021) (29)
- The primacy of behavioral research for understanding the brain. (2021) (29)
- On the Primacy of Behavioral Research for Understanding the Brain (2020) (28)
- A Bayesian method for reducing bias in neural representational similarity analysis (2016) (27)
- Divide and Conquer: Hierarchical Reinforcement Learning and Task Decomposition in Humans (2013) (27)
- Learning to selectively attend (2010) (24)
- Model-based decision making and model-free learning (2020) (24)
- Depressive symptoms bias the prediction-error enhancement of memory towards negative events in reinforcement learning (2019) (23)
- Parkinson's Disease: Fighting the Will? (2007) (22)
- Uncertainty-based competition between prefrontal and striatal systems for behavioural control (2005) (21)
- On the value of information and other rewards (2011) (21)
- The effects of aging on the interaction between reinforcement learning and attention. (2016) (20)
- Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior (2002) (20)
- Neuroscience: Dopamine ramps up (2013) (20)
- Neural Signatures of Prediction Errors in a Decision-Making Task Are Modulated by Action Execution Failures (2018) (17)
- THE EFFECTS OF MOTIVATION ON HABITUAL INSTRUMENTAL BEHAVIOR (2007) (17)
- How Did the Chicken Cross the Road? With Her Striatal Cholinergic Interneurons, Of Course (2013) (17)
- Human Representation Learning. (2021) (17)
- The State of the Orbitofrontal Cortex (2015) (16)
- Gender and collaboration patterns in a temporal scientific authorship network (2019) (14)
- Value-free reinforcement learning: policy optimization as a minimal model of operant behavior (2021) (13)
- The effects of motivation on response rate: A hidden semi-Markov model analysis of behavioral dynamics (2011) (13)
- Inattentive responding can induce spurious associations between task behavior and symptom measures (2021) (12)
- Efficiency of learning vs. processing: Towards a normative theory of multitasking (2020) (11)
- Biased evaluations emerge from inferring hidden causes (2020) (11)
- Causal Model Comparison Shows That Human Representation Learning Is Not Bayesian. (2014) (10)
- Intact Reinforcement Learning But Impaired Attentional Control During Multidimensional Probabilistic Learning in Older Adults (2019) (10)
- A model of mood as integrated advantage (2020) (10)
- Amplified selectivity in cognitive processing implements the neural gain model of norepinephrine function (2016) (10)
- A model of mood as integrated advantage. (2021) (10)
- Reconsolidation-Extinction Interactions in Fear Memory Attenuation: The Role of Inter-Trial Interval Variability (2017) (10)
- A probability distribution over latent causes in the orbitofrontal cortex (2016) (9)
- DYT1 dystonia increases risk taking in humans (2016) (9)
- State representation in mental illness (2019) (8)
- Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching (2001) (8)
- Sequential replay of non-spatial task states in the human hippocampus (2018) (8)
- Computational Approaches for Studying Mechanisms of Psychiatric Disorders (2016) (8)
- Author Correction: Dopamine transients are sufficient and necessary for acquisition of model-based associations (2018) (7)
- A particle filtering account of selective attention during learning (2019) (7)
- On the convergent validity of risk sensitivity measures (2020) (6)
- Opening Burton's Clock: Psychiatric insights from computational cognitive models (2018) (5)
- Translating a Reinforcement Learning Task into a Computational Psychiatry Assay: Challenges and Strategies (2017) (5)
- How to divide and conquer the world, one step at a time (2015) (5)
- Correction: The computational nature of memory modification (2017) (5)
- A free-choice premium in the basal ganglia (2015) (5)
- A pupillary index of susceptibility to decision biases (2018) (5)
- Uncovering the ‘state’: Tracing the hidden state representations that structure learning and decision-making (2019) (5)
- Rumination Derails Reinforcement Learning With Possible Implications for Ineffective Behavior (2021) (5)
- Tutorial summary: The neuroscience of reinforcement learning (2009) (4)
- Dopamine transients delivered in learning contexts do not act as model-free prediction errors (2019) (4)
- The Effects of Motivation on Extensively Trained Behavior (2006) (4)
- A practical guide for studying human behavior in the lab (2021) (4)
- The Psychometric Properties of the Pavlovian Instrumental Transfer Task in an Online Adult Sample (2021) (4)
- Neural Correlates of Hierarchical Reinforcement Learning (2011) (3)
- The primacy of behavioral research for understanding the brain (2020) (3)
- Learning what is relevant for rewards via value-based serial hypothesis testing (2020) (3)
- Motivational effects on behavior: Towards a reinforcement learning model of rates of responding (2005) (3)
- Correction: Corrigendum: Dopamine transients are sufficient and necessary for acquisition of model-based associations (2017) (2)
- Measuring Trial-wise Choice Difficulty in Multi-feature Reinforcement Learning (2019) (2)
- Toward Precision Cognitive Behavioral Therapy via Reinforcement Learning Theory (2022) (2)
- Rat orbitofrontal ensemble activity contains a multiplexed but value-invariant representation of task structure in an odor sequence task (2018) (2)
- Improving the reliability of cognitive task measures: A narrative review. (2023) (2)
- Dynamic Interaction betw een Reinforcement Learning and Attention in Multidimensional Environments Highlights (2017) (2)
- Information Seeking on the Horizons Task Does Not Predict Anxious Symptomatology (2021) (2)
- The Effects of Uncertainty on TD Learning (2)
- A computational model of moral judgment (2009) (2)
- Reinforcement Learning and the Basal Ganglia (1)
- Running title : THEORY OF RECONSOLIDATION The Computational Nature of Memory Reconsolidation (2016) (1)
- The challenges of lifelong learning in biological and artificial systems (2022) (1)
- Affect-congruent attention drives changes in reward expectations (2021) (1)
- Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning (2022) (1)
- The effects of induced affect on Pavlovian-instrumental interactions in reinforcement learning (2022) (1)
- A recurring reproduction error in the administration of the Generalized Anxiety Disorder scale. (2021) (1)
- What is the role of orbitofrontal cortex in dopamine-dependent reinforcement learning ? (2010) (1)
- Orbitofrontal cortex and learning predictions of state transitions (2020) (1)
- Corrigendum: Interaction between emotional state and learning underlies mood instability (2017) (1)
- Learning, Action, Inference and Neuromodulation (2010) (1)
- Author response: The computational nature of memory modification (2017) (1)
- Foraging Behaviors Evolution of Reinforcement Learning in Uncertain Environments : A Simple Explanation for Complex (2002) (1)
- 168. Learning and Decision Making Across Healthy and Disease States (2019) (0)
- Faculty Opinions recommendation of Separable learning systems in the macaque brain and the role of orbitofrontal cortex in contingent learning. (2011) (0)
- The best advice you can give. (2022) (0)
- Deep Down, You Are a Scientist (2018) (0)
- Running head : OCKHAM ’ S RAZOR AND PERCEPTION Perceptual Judgment Obeys Ockham ’ s Razor (2010) (0)
- Gender and collaboration patterns in a temporal scientific authorship network (2019) (0)
- A pupillary index of susceptibility to decision biases (2021) (0)
- Quantifying Humans’ Priors Over Graphical Representations of Tasks (2018) (0)
- DYT1 dystonia increases risk taking in (2016) (0)
- The effects of motivation on rates of responding: A reinforcement learning approach (2005) (0)
- Comment Uncertainty or Prediction Error in Dopamine Ramps (0)
- A guide for writing anti-racist tenure and promotion letters (2022) (0)
- Neural Signatures of Predi ction Errors in a Decision-Making Task Are Modulated by Action Execution Failures Highlights (2019) (0)
- Dopamine transients are sufficient and necessary for acquisition of model-based associations (2017) (0)
- A Reinforcement Learning Framework to Illuminate Change Mechanisms Underlying Specific Psychotherapy Interventions (2023) (0)
- Erratum to Gershman and Niv (2012), Learning & Behavior, 40, 255-268 (2020) (0)
- Neural Computations Supporting Cognition: Rumelhart Prize Symposium in Honor of Peter Dayan (2012) (0)
- A Transdiagnostic Association Between Hypomania and Mood-Learning Interaction (2020) (0)
- Lamb Shift in the Hydrogenic Ion Cl16 (1981) (0)
- Explaining the effectiveness of fear extinction through latent-cause inference (2021) (0)
- Author response: Signed and unsigned reward prediction errors dynamically enhance learning and memory (2021) (0)
- Running title : THEORY OF MEMORY MODIFICATION The Computational Nature of Memory Modification (2016) (0)
- A Transdiagnostic Association Between Mood Symptoms and Mood-Learning Interaction (2021) (0)
- Minimal cross-trial generalization in learning the representation of an odor-guided choice task (2022) (0)
- Event segmentation in moral learning and impression updating (2018) (0)
- Learning what is relevant for rewards via serial hypothesis testing (2019) (0)
- Feature-based reward learning biases dimensional attention (2017) (0)
- Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma (2011) (0)
- Predicting trial-by-trial attention dynamics during human reinforcement learning (2017) (0)
- Two Factors Underlying Maladaptive Inference of Causal Structure Can Drive Resistance to Extinction in Anxiety (2021) (0)
- Should you trust your RSA result? A Bayesian method for reducing bias in neural representational similarity analysis. (2017) (0)
- The effects of induced positive and negative affect on Pavlovian-instrumental interactions (2022) (0)
- Learning How to Learn: The Interaction Between Attention and Learning as a Mechanism for Dimensionality Reduction in the Brain (2017) (0)
- Corrigendum: Gradual extinction prevents the return of fear: implications for the discovery of state (2021) (0)
- TICS 1472 No . of Pages 10 Opinion Mood as Representation of Momentum (2015) (0)
- Dopamine transients do not act as model-free prediction errors during associative learning (2020) (0)
- 1 Uncertainty in reward occurrence : DA Ramping (2005) (0)
- Modeling the Hemodynamic Response Function for Prediction Errors in the Ventral Striatum (2019) (0)
- Exploring a latent cause theory of classical conditioning (2012) (0)
- Author response: DYT1 dystonia increases risk taking in humans (2016) (0)
- 45. The Interaction Between Mood and Value (2018) (0)
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