Reinforcement learning establishes a minimal metacognitive process to monitor and control motor learning performance
出版年份 2023 全文链接
标题
Reinforcement learning establishes a minimal metacognitive process to monitor and control motor learning performance
作者
关键词
-
出版物
Nature Communications
Volume 14, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2023-07-08
DOI
10.1038/s41467-023-39536-9
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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。- Reward signals in the cerebellum: Origins, targets, and functional implications
- (2022) Dimitar Kostadinov et al. NEURON
- Interactions between sensory prediction error and task error during implicit motor learning
- (2022) Jonathan S. Tsay et al. PLoS Computational Biology
- Competition between parallel sensorimotor learning systems
- (2022) Scott T Albert et al. eLife
- Implicit motor learning within three trials
- (2021) Jennifer E. Ruttle et al. Scientific Reports
- Meta-learning in natural and artificial intelligence
- (2021) Jane X Wang Current Opinion in Behavioral Sciences
- Sensitivity to error during visuomotor adaptation is similarly modulated by abrupt, gradual, and random perturbation schedules
- (2021) Susan K. Coltman et al. JOURNAL OF NEUROPHYSIOLOGY
- Contextual inference underlies the learning of sensorimotor repertoires
- (2021) James B. Heald et al. NATURE
- Meta-learning, social cognition and consciousness in brains and machines
- (2021) Angela Langdon et al. NEURAL NETWORKS
- Task-relevant and task-irrelevant variability causally shape error-based motor learning
- (2021) Lucas Rebelo Dal’Bello et al. NEURAL NETWORKS
- Task errors drive memories that improve sensorimotor adaptation
- (2020) Li-Ann Leow et al. JOURNAL OF NEUROSCIENCE
- Pain: A Precision Signal for Reinforcement Learning and Control
- (2019) Ben Seymour NEURON
- Predictive and reactive reward signals conveyed by climbing fiber inputs to cerebellar Purkinje cells
- (2019) Dimitar Kostadinov et al. NATURE NEUROSCIENCE
- The influence of task outcome on implicit motor learning
- (2019) Hyosub E Kim et al. eLife
- Cerebellar Contribution to Preparatory Activity in Motor Neocortex
- (2019) Francois P. Chabrol et al. NEURON
- Towards learning-to-learn
- (2019) Benjamin James Lansdell et al. Current Opinion in Behavioral Sciences
- Prefrontal cortex as a meta-reinforcement learning system
- (2018) Jane X. Wang et al. NATURE NEUROSCIENCE
- The basal ganglia and the cerebellum: nodes in an integrated network
- (2018) Andreea C. Bostan et al. NATURE REVIEWS NEUROSCIENCE
- Modulation of sensory prediction error in Purkinje cells during visual feedback manipulations
- (2018) Martha L. Streng et al. Nature Communications
- lmerTest Package: Tests in Linear Mixed Effects Models
- (2017) Alexandra Kuznetsova et al. Journal of Statistical Software
- Beyond subjective and objective in statistics
- (2017) Andrew Gelman et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
- Cerebellar granule cells encode the expectation of reward
- (2017) Mark J. Wagner et al. NATURE
- Eliminating Direction Specificity in Visuomotor Learning
- (2016) Cong Yin et al. JOURNAL OF NEUROSCIENCE
- Reward feedback accelerates motor learning
- (2015) Ali A. Nikooyan et al. JOURNAL OF NEUROPHYSIOLOGY
- Savings upon Re-Aiming in Visuomotor Adaptation
- (2015) J. R. Morehead et al. JOURNAL OF NEUROSCIENCE
- Explicit and Implicit Processes Constitute the Fast and Slow Processes of Sensorimotor Learning
- (2015) S. D. McDougle et al. JOURNAL OF NEUROSCIENCE
- Fitting Linear Mixed-Effects Models Usinglme4
- (2015) Douglas Bates et al. Journal of Statistical Software
- The dissociable effects of punishment and reward on motor learning
- (2015) Joseph M Galea et al. NATURE NEUROSCIENCE
- Neural Substrates Related to Motor Memory with Multiple Timescales in Sensorimotor Adaptation
- (2015) Sungshin Kim et al. PLOS BIOLOGY
- A memory of errors in sensorimotor learning
- (2014) D. J. Herzfeld et al. SCIENCE
- Neural mechanisms and temporal dynamics of performance monitoring
- (2014) Markus Ullsperger et al. TRENDS IN COGNITIVE SCIENCES
- Neural Prediction Errors Reveal a Risk-Sensitive Reinforcement-Learning Process in the Human Brain
- (2012) Y. Niv et al. JOURNAL OF NEUROSCIENCE
- Cerebellar Contributions to Reach Adaptation and Learning Sensory Consequences of Action
- (2012) J. Izawa et al. JOURNAL OF NEUROSCIENCE
- GABA Neurons of the VTA Drive Conditioned Place Aversion
- (2012) Kelly R. Tan et al. NEURON
- Generalization of Stochastic Visuomotor Rotations
- (2012) Hugo L. Fernandes et al. PLoS One
- Multiple representations and algorithms for reinforcement learning in the cortico-basal ganglia circuit
- (2011) Makoto Ito et al. CURRENT OPINION IN NEUROBIOLOGY
- How Each Movement Changes the Next: An Experimental and Theoretical Study of Fast Adaptive Priors in Reaching
- (2011) T. Verstynen et al. JOURNAL OF NEUROSCIENCE
- From reinforcement learning models to psychiatric and neurological disorders
- (2011) Tiago V Maia et al. NATURE NEUROSCIENCE
- Learning from Sensory and Reward Prediction Errors during Motor Adaptation
- (2011) Jun Izawa et al. PLoS Computational Biology
- Evidence for Model-Based Action Planning in a Sequential Finger Movement Task
- (2010) Alan Fermin et al. JOURNAL OF MOTOR BEHAVIOR
- A modular planar robotic manipulandum with end-point torque control
- (2009) Ian S. Howard et al. JOURNAL OF NEUROSCIENCE METHODS
- Decision theory, reinforcement learning, and the brain
- (2008) P. Dayan et al. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE
- Reinforcement learning: The Good, The Bad and The Ugly
- (2008) Peter Dayan et al. CURRENT OPINION IN NEUROBIOLOGY
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