Dopamine reward prediction error signal codes the temporal evaluation of a perceptual decision report
出版年份 2017 全文链接
标题
Dopamine reward prediction error signal codes the temporal evaluation of a perceptual decision report
作者
关键词
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出版物
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 114, Issue 48, Pages E10494-E10503
出版商
Proceedings of the National Academy of Sciences
发表日期
2017-11-14
DOI
10.1073/pnas.1712479114
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Confidence and certainty: distinct probabilistic quantities for different goals
- (2016) Alexandre Pouget et al. NATURE NEUROSCIENCE
- Emergence of an abstract categorical code enabling the discrimination of temporally structured tactile stimuli
- (2016) Román Rossi-Pool et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Midbrain dopamine neurons control judgment of time
- (2016) S. Soares et al. SCIENCE
- A Scalable Population Code for Time in the Striatum
- (2015) Gustavo B.M. Mello et al. CURRENT BIOLOGY
- Dopamine neurons encode errors in predicting movement trigger occurrence
- (2015) Benjamin Pasquereau et al. JOURNAL OF NEUROPHYSIOLOGY
- Brief optogenetic inhibition of dopamine neurons mimics endogenous negative reward prediction errors
- (2015) Chun Yun Chang et al. NATURE NEUROSCIENCE
- Dynamic Control of Response Criterion in Premotor Cortex during Perceptual Detection under Temporal Uncertainty
- (2015) Federico Carnevale et al. NEURON
- Neuronal Reward and Decision Signals: From Theories to Data
- (2015) Wolfram Schultz PHYSIOLOGICAL REVIEWS
- A causal link between prediction errors, dopamine neurons and learning
- (2013) Elizabeth E Steinberg et al. NATURE NEUROSCIENCE
- An Optimal Decision Population Code that Accounts for Correlated Variability Unambiguously Predicts a Subject’s Choice
- (2013) Federico Carnevale et al. NEURON
- Temporal Convergence of Dynamic Cell Assemblies in the Striato-Pallidal Network
- (2012) A. Adler et al. JOURNAL OF NEUROSCIENCE
- Internal signal correlates neural populations and biases perceptual decision reports
- (2012) F. Carnevale et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Integration of Reinforcement Learning and Optimal Decision-Making Theories of the Basal Ganglia
- (2011) Rafal Bogacz et al. NEURAL COMPUTATION
- A Scale-Invariant Internal Representation of Time
- (2011) Karthik H. Shankar et al. NEURAL COMPUTATION
- Dopamine neurons code subjective sensory experience and uncertainty of perceptual decisions
- (2011) V. de Lafuente et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Temporally Extended Dopamine Responses to Perceptually Demanding Reward-Predictive Stimuli
- (2010) K. Nomoto et al. JOURNAL OF NEUROSCIENCE
- Decoding a Perceptual Decision Process across Cortex
- (2010) Adrián Hernández et al. NEURON
- Distinct Tonic and Phasic Anticipatory Activity in Lateral Habenula and Dopamine Neurons
- (2010) Ethan S. Bromberg-Martin et al. NEURON
- Dopamine in Motivational Control: Rewarding, Aversive, and Alerting
- (2010) Ethan S. Bromberg-Martin et al. NEURON
- Decision Making Under Uncertainty: A Neural Model Based on Partially Observable Markov Decision Processes
- (2010) Rajesh P. N. Rao Frontiers in Computational Neuroscience
- Reinforcement learning, conditioning, and the brain: Successes and challenges
- (2009) Tiago V. Maia COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE
- Reinforcement learning in the brain
- (2009) Yael Niv JOURNAL OF MATHEMATICAL PSYCHOLOGY
- Decision theory, reinforcement learning, and the brain
- (2008) P. Dayan et al. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE
- The temporal precision of reward prediction in dopamine neurons
- (2008) Christopher D Fiorillo et al. NATURE NEUROSCIENCE
- Stimulus Representation and the Timing of Reward-Prediction Errors in Models of the Dopamine System
- (2008) Elliot A. Ludvig et al. NEURAL COMPUTATION
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