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Connectivity Neurofeedback Training Can Differentially Change Functional Connectivity and Cognitive Performance

Cerebral cortex (New York, N.Y. 1991), 2017-10, Vol.27 (10), p.4960-4970

2017

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From internal models toward metacognitive AI

Biological cybernetics, 2021-10, Vol.115 (5), p.415-430

2021

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Different Neural Correlates of Reward Expectation and Reward Expectation Error in the Putamen and Caudate Nucleus During Stimulus-Action-Reward Association Learning

Journal of neurophysiology, 2006-02, Vol.95 (2), p.948-959

2006

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Heterarchical reinforcement-learning model for integration of multiple cortico-striatal loops: fMRI examination in stimulus-action-reward association learning

Neural networks, 2006-10, Vol.19 (8), p.1242-1254

2006

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Human motor adaptation in whole body motion

Scientific reports, 2016-09, Vol.6 (1), p.32868-32868, Article 32868

2016

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Unconscious reinforcement learning of hidden brain states supported by confidence

Nature communications, 2020-08, Vol.11 (1), p.4429-4429, Article 4429

2020

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MOSAIC for Multiple-Reward Environments

Neural computation, 2012-03, Vol.24 (3), p.577-606

2012

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50 Years Since the Marr, Ito, and Albus Models of the Cerebellum

Neuroscience, 2021-05, Vol.462, p.151-174

2021

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Neural Correlates of Predictive and Postdictive Switching Mechanisms for Internal Models

The Journal of neuroscience, 2008-10, Vol.28 (42), p.10751-10765

2008

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From 'understanding the brain by creating the brain' towards manipulative neuroscience

Philosophical transactions of the Royal Society of London. Series B. Biological sciences, 2008-06, Vol.363 (1500), p.2201

Kawato, Mitsuo

2008

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Speaker: Mitsuo Kawato, Japan

The international journal of neuropsychopharmacology, 2016-06, Vol.19 (Suppl_1), p.15-15

2016

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Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network

Frontiers in human neuroscience, 2015-03, Vol.9, p.160-160

2015

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Efficient reinforcement learning: computational theories, neuroscience and robotics

Current opinion in neurobiology, 2007-04, Vol.17 (2), p.205-212

2007

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Computational neuroscience approach to biomarkers and treatments for mental disorders

Psychiatry and clinical neurosciences, 2017-04, Vol.71 (4), p.215-237

2017

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Activity in the Superior Temporal Sulcus Highlights Learning Competence in an Interaction Game

The Journal of neuroscience, 2009-04, Vol.29 (14), p.4542-4547

2009

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Differential neural correlates of reciprocal activation and cocontraction control in dorsal and ventral premotor cortices

Journal of neurophysiology, 2012-01, Vol.107 (1), p.126-133

2012

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Internal models for motor control and trajectory planning

Current opinion in neurobiology, 1999-12, Vol.9 (6), p.718-727

Kawato, M

1999

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Prevalence and risk factors of internet gaming disorder and problematic internet use before and during the COVID-19 pandemic: A large online survey of Japanese adults

Journal of psychiatric research, 2021-10, Vol.142, p.218-225

2021

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Mirror neurons and imitation: A computationally guided review

Neural networks, 2006-04, Vol.19 (3), p.254-271

2006

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Expansion coding and computation in the cerebellum: 50 years after the Marr–Albus codon theory

The Journal of physiology, 2020-03, Vol.598 (5), p.913-928

2020

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Decoded fMRI neurofeedback can induce bidirectional confidence changes within single participants

NeuroImage (Orlando, Fla.), 2017-04, Vol.149, p.323-337

2017

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The neural and cognitive architecture for learning from a small sample

Current opinion in neurobiology, 2019-04, Vol.55, p.133-141

2019

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Depressive symptoms reduce when dorsolateral prefrontal cortex-precuneus connectivity normalizes after functional connectivity neurofeedback

Scientific reports, 2022-02, Vol.12 (1), p.2581-2581, Article 2581

2022

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Common cortical areas have different neural mechanisms for covert and overt visual pursuits

Scientific reports, 2021-07, Vol.11 (1), p.1-15, Article 13933

2021

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Value signals guide abstraction during learning

eLife, 2021-07, Vol.10

2021

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Connectivity Neurofeedback Training Can Differentially Change Functional Connectivity and Cognitive Performance

From internal models toward metacognitive AI

Different Neural Correlates of Reward Expectation and Reward Expectation Error in the Putamen and Caudate Nucleus During Stimulus-Action-Reward Association Learning

Heterarchical reinforcement-learning model for integration of multiple cortico-striatal loops: fMRI examination in stimulus-action-reward association learning

Human motor adaptation in whole body motion

Unconscious reinforcement learning of hidden brain states supported by confidence

MOSAIC for Multiple-Reward Environments

50 Years Since the Marr, Ito, and Albus Models of the Cerebellum

Neural Correlates of Predictive and Postdictive Switching Mechanisms for Internal Models

From 'understanding the brain by creating the brain' towards manipulative neuroscience

Speaker: Mitsuo Kawato, Japan

Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network

Efficient reinforcement learning: computational theories, neuroscience and robotics

Computational neuroscience approach to biomarkers and treatments for mental disorders

Activity in the Superior Temporal Sulcus Highlights Learning Competence in an Interaction Game

Differential neural correlates of reciprocal activation and cocontraction control in dorsal and ventral premotor cortices

Internal models for motor control and trajectory planning

Prevalence and risk factors of internet gaming disorder and problematic internet use before and during the COVID-19 pandemic: A large online survey of Japanese adults

Mirror neurons and imitation: A computationally guided review

Expansion coding and computation in the cerebellum: 50 years after the Marr–Albus codon theory

Decoded fMRI neurofeedback can induce bidirectional confidence changes within single participants

The neural and cognitive architecture for learning from a small sample

Depressive symptoms reduce when dorsolateral prefrontal cortex-precuneus connectivity normalizes after functional connectivity neurofeedback

Common cortical areas have different neural mechanisms for covert and overt visual pursuits

Value signals guide abstraction during learning

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