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Perceptual Learning Incepted by Decoded fMRI Neurofeedback Without Stimulus Presentation

Science (American Association for the Advancement of Science), 2011-12, Vol.334 (6061), p.1413-1415

2011

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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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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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From internal models toward metacognitive AI

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

2021

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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 '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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Differential Activation Patterns in the Same Brain Region Led to Opposite Emotional States

PLoS biology, 2016-09, Vol.14 (9), p.e1002546-e1002546

2016

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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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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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Towards an unconscious neural reinforcement intervention for common fears

Proceedings of the National Academy of Sciences - PNAS, 2018-03, Vol.115 (13), p.3470-3475

2018

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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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Mirror neurons and imitation: A computationally guided review

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

2006

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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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Conducting decoded neurofeedback studies

Social cognitive and affective neuroscience, 2021-08, Vol.16 (8), p.838-848

2021

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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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A small number of abnormal brain connections predicts adult autism spectrum disorder

Nature communications, 2016-04, Vol.7 (1), p.11254-11254, Article 11254

2016

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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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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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Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes

NeuroImage (Orlando, Fla.), 2016-11, Vol.141, p.120-132

2016

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Value signals guide abstraction during learning

eLife, 2021-07, Vol.10

2021

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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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Predicting learning plateau of working memory from whole-brain intrinsic network connectivity patterns

Scientific reports, 2015-01, Vol.5 (1), p.7622-7622, Article 7622

2015

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Pain Control by Co-adaptive Learning in a Brain-Machine Interface

Current biology, 2020-10, Vol.30 (20), p.3935-3944.e7

2020

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A unifying computational framework for motor control and social interaction

Philosophical transactions of the Royal Society of London. Series B. Biological sciences, 2003-03, Vol.358 (1431), p.593

2003

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Dynamic organization of cerebellar climbing fiber response and synchrony in multiple functional components reduces dimensions for reinforcement learning

eLife, 2023-09, Vol.12

2023

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Perceptual Learning Incepted by Decoded fMRI Neurofeedback Without Stimulus Presentation

Unconscious reinforcement learning of hidden brain states supported by confidence

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

From internal models toward metacognitive AI

Connectivity Neurofeedback Training Can Differentially Change Functional Connectivity and Cognitive Performance

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

Differential Activation Patterns in the Same Brain Region Led to Opposite Emotional States

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

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

Towards an unconscious neural reinforcement intervention for common fears

The neural and cognitive architecture for learning from a small sample

Mirror neurons and imitation: A computationally guided review

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

Conducting decoded neurofeedback studies

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

A small number of abnormal brain connections predicts adult autism spectrum disorder

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

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

Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes

Value signals guide abstraction during learning

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

Predicting learning plateau of working memory from whole-brain intrinsic network connectivity patterns

Pain Control by Co-adaptive Learning in a Brain-Machine Interface

A unifying computational framework for motor control and social interaction

Dynamic organization of cerebellar climbing fiber response and synchrony in multiple functional components reduces dimensions for reinforcement learning

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