相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Intact Reinforcement Learning But Impaired Attentional Control During Multidimensional Probabilistic Learning in Older Adults
Reka Daniel et al.
JOURNAL OF NEUROSCIENCE (2020)
A distributional code for value in dopamine-based reinforcement learning
Will Dabney et al.
NATURE (2020)
Dopamine transients do not act as model-free prediction errors during associative learning
Melissa J. Sharpe et al.
NATURE COMMUNICATIONS (2020)
Humans incorporate trial-to-trial working memory uncertainty into rewarded decisions
Maija Honig et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2020)
Computational evidence for hierarchically structured reinforcement learning in humans
Maria K. Eckstein et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2020)
A distributional code for value in dopamine based reinforcement learning
Will Dabney et al.
NATURE (2020)
Subgoal- and Goal-related Reward Prediction Errors in Medial Prefrontal Cortex
Jose J. F. Ribas-Fernandes et al.
JOURNAL OF COGNITIVE NEUROSCIENCE (2019)
Neural Signatures of Prediction Errors in a Decision-Making Task Are Modulated by Action Execution Failures
Samuel D. McDougle et al.
CURRENT BIOLOGY (2019)
State representation in mental illness
Angela Radulescu et al.
CURRENT OPINION IN NEUROBIOLOGY (2019)
Holistic Reinforcement Learning: The Role of Structure and Attention
Angela Radulescu et al.
TRENDS IN COGNITIVE SCIENCES (2019)
Reinforcement Learning, Fast and Slow
Matthew Botvinick et al.
TRENDS IN COGNITIVE SCIENCES (2019)
The contribution of striatal pseudo-reward prediction errors to value-based decision-making
Ernest Mas-Herrero et al.
NEUROIMAGE (2019)
Credit assignment to state-independent task representations and its relationship with model-based decision making
Nitzan Shahar et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2019)
A neural network for information seeking
J. Kael White et al.
NATURE COMMUNICATIONS (2019)
Stress-induced impairment in goal-directed instrumental behaviour is moderated by baseline working memory
C. W. E. M. Quaedflieg et al.
NEUROBIOLOGY OF LEARNING AND MEMORY (2019)
Reduced model-based decision-making in gambling disorder
Florent Wyckmans et al.
SCIENTIFIC REPORTS (2019)
Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners
Wai Keen Vong et al.
COGNITIVE SCIENCE (2019)
A Brain-Inspired Decision Making Model Based on Top-Down Biasing of Prefrontal Cortex to Basal Ganglia and Its Application in Autonomous UAV Explorations
Feifei Zhao et al.
COGNITIVE COMPUTATION (2018)
Model-based predictions for dopamine
Angela J. Langdon et al.
CURRENT OPINION IN NEUROBIOLOGY (2018)
The Tortoise and the Hare: Interactions between Reinforcement Learning and Working Memory
Anne G. E. Collins
JOURNAL OF COGNITIVE NEUROSCIENCE (2018)
Within- and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory
Anne G. E. Collins et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)
Valuation of knowledge and ignorance in mesolimbic reward circuitry
Caroline J. Charpentier et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)
Chunking as a Rational Strategy for Lossy Data Compression in Visual Working Memory
Matthew R. Nassar et al.
PSYCHOLOGICAL REVIEW (2018)
Belief state representation in the dopamine system
Benedicte M. Babayan et al.
NATURE COMMUNICATIONS (2018)
Chronic alcohol exposure disrupts top-down control over basal ganglia action selection to produce habits
Rafael Renteria et al.
NATURE COMMUNICATIONS (2018)
A neural network model for the orbitofrontal cortex and task space acquisition during reinforcement learning
Zhewei Zhang et al.
PLOS COMPUTATIONAL BIOLOGY (2018)
Compositional clustering in task structure learning
Nicholas T. Franklin et al.
PLOS COMPUTATIONAL BIOLOGY (2018)
Rational metareasoning and the plasticity of cognitive control
Falk Lieder et al.
PLOS COMPUTATIONAL BIOLOGY (2018)
Working Memory: Delay Activity, Yes! Persistent Activity? Maybe Not
Mikael Lundqvist et al.
JOURNAL OF NEUROSCIENCE (2018)
Motivational deficits in schizophrenia relate to abnormalities in cortical learning rate signals
D. Hernaus et al.
COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE (2018)
Beyond Reward Prediction Errors: Human Striatum Updates Rule Values During Learning
Ian Ballard et al.
CEREBRAL CORTEX (2018)
Working Memory and Reinforcement Schedule Jointly Determine Reinforcement Learning in Children: Potential Implications for Behavioral Parent Training
Elien Segers et al.
FRONTIERS IN PSYCHOLOGY (2018)
Working Memory Load Strengthens Reward Prediction Errors
Anne G. E. Collins et al.
JOURNAL OF NEUROSCIENCE (2017)
Dopamine reward prediction errors reflect hidden-state inference across time
Clara Kwon Starkweather et al.
NATURE NEUROSCIENCE (2017)
Feature-based learning improves adaptability without compromising precision
Shiva Farashahi et al.
NATURE COMMUNICATIONS (2017)
Predictive representations can link model-based reinforcement learning to model-free mechanisms
Evan M. Russek et al.
PLOS COMPUTATIONAL BIOLOGY (2017)
Drug Addiction: Updating Actions to Habits to Compulsions Ten Years On
Barry J. Everitt et al.
ANNUAL REVIEW OF PSYCHOLOGY, VOL 67 (2016)
Credit assignment in movement-dependent reinforcement learning
Samuel D. McDougle et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)
Working Memory Contributions to Reinforcement Learning Impairments in Schizophrenia
Anne G. E. Collins et al.
JOURNAL OF NEUROSCIENCE (2014)
Orbitofrontal Cortex as a Cognitive Map of Task Space
Robert C. Wilson et al.
NEURON (2014)
Hierarchical Learning Induces Two Simultaneous, But Separable, Prediction Errors in Human Basal Ganglia
Carlos Diuk et al.
JOURNAL OF NEUROSCIENCE (2013)
Cognitive Control Over Learning: Creating, Clustering, and Generalizing Task-Set Structure
Anne G. E. Collins et al.
PSYCHOLOGICAL REVIEW (2013)
Gradual extinction prevents the return of fear: implications for the discovery of state
Samuel J. Gershman et al.
FRONTIERS IN BEHAVIORAL NEUROSCIENCE (2013)
Working Memory: Theories, Models, and Controversies
Alan Baddeley
ANNUAL REVIEW OF PSYCHOLOGY, VOL 63 (2012)
Mechanisms of Hierarchical Reinforcement Learning in Corticostriatal Circuits 1: Computational Analysis
Michael J. Frank et al.
CEREBRAL CORTEX (2012)
Mechanisms of Hierarchical Reinforcement Learning in Cortico-Striatal Circuits 2: Evidence from fMRI
David Badre et al.
CEREBRAL CORTEX (2012)
Computational models of motivated action selection in corticostriatal circuits
Michael J. Frank
CURRENT OPINION IN NEUROBIOLOGY (2011)
Model-Based Influences on Humans' Choices and Striatal Prediction Errors
Nathaniel D. Daw et al.
NEURON (2011)
Is the rostro-caudal axis of the frontal lobe hierarchical?
David Badre et al.
NATURE REVIEWS NEUROSCIENCE (2009)
Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective
Matthew M. Botvinick et al.
COGNITION (2009)
Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system
Thomas E. Hazy et al.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES (2007)
An information theoretical approach to prefrontal executive function
Etienne Koechlin et al.
TRENDS IN COGNITIVE SCIENCES (2007)
Actor-Critic models of reinforcement learning in the basal ganglia:: From natural to artificial rats
M Khamassi et al.
ADAPTIVE BEHAVIOR (2005)
Temporal difference models describe higher-order learning in humans
B Seymour et al.
NATURE (2004)
Actor-critic models of the basal ganglia: new anatomical and computational perspectives
D Joel et al.
NEURAL NETWORKS (2002)