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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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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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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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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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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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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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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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Perceptual learning – The past, present and future

Vision research, 2014-06, Vol.99, p.1-4

2014

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Premotor cortex mediates perceptual performance

NeuroImage (Orlando, Fla.), 2010-06, Vol.51 (2), p.844-858

2010

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Verification of the brain network marker of major depressive disorder: Test-retest reliability and anterograde generalization performance for newly acquired data

Journal of affective disorders, 2023-04, Vol.326, p.262-266

2023

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Reconstruction of two-dimensional movement trajectories from selected magnetoencephalography cortical currents by combined sparse Bayesian methods

NeuroImage (Orlando, Fla.), 2011-01, Vol.54 (2), p.892-905

2011

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The cognitive reality monitoring network and theories of consciousness

Neuroscience research, 2024-04, Vol.201, p.31-38

2024

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Hierarchical Bayesian estimation for MEG inverse problem

NeuroImage (Orlando, Fla.), 2004-11, Vol.23 (3), p.806-826

2004

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Adaptive coupling of inferior olive neurons in cerebellar learning

Neural networks, 2013-11, Vol.47, p.42-50

2013

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Attentional changes in pre-stimulus oscillatory activity within early visual cortex are predictive of human visual performance

Brain research, 2008-03, Vol.1197, p.115-122

2008

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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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The role of chaotic resonance in cerebellar learning

Neural networks, 2010-09, Vol.23 (7), p.836-842

2010

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Advances in fMRI Real-Time Neurofeedback

Trends in cognitive sciences, 2017-12, Vol.21 (12), p.997-1010

2017

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Reorganization of Brain Activity for Multiple Internal Models After Short But Intensive Training

Cortex, 2007, Vol.43 (3), p.338-349

2007

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Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals

NeuroImage (Orlando, Fla.), 2008-10, Vol.42 (4), p.1397-1413

2008

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Internal forward models in the cerebellum: fMRI study on grip force and load force coupling

Progress in Brain Research, 2003, Vol.142, p.171-188

2003

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Estimation of hyper-parameters for a hierarchical model of combined cortical and extra-brain current sources in the MEG inverse problem

NeuroImage (Orlando, Fla.), 2014-11, Vol.101, p.320-336

2014

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A model of smooth pursuit in primates based on learning the target dynamics

Neural networks, 2005-04, Vol.18 (3), p.213-224

2005

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Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS)

NeuroImage (Orlando, Fla.), 2009-08, Vol.47 (2), p.628-637

2009

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

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

The neural and cognitive architecture for learning from a small sample

Mirror neurons and imitation: A computationally guided review

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

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

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

Efficient reinforcement learning: computational theories, neuroscience and robotics

Perceptual learning – The past, present and future

Premotor cortex mediates perceptual performance

Verification of the brain network marker of major depressive disorder: Test-retest reliability and anterograde generalization performance for newly acquired data

Reconstruction of two-dimensional movement trajectories from selected magnetoencephalography cortical currents by combined sparse Bayesian methods

The cognitive reality monitoring network and theories of consciousness

Hierarchical Bayesian estimation for MEG inverse problem

Adaptive coupling of inferior olive neurons in cerebellar learning

Attentional changes in pre-stimulus oscillatory activity within early visual cortex are predictive of human visual performance

Internal models for motor control and trajectory planning

The role of chaotic resonance in cerebellar learning

Advances in fMRI Real-Time Neurofeedback

Reorganization of Brain Activity for Multiple Internal Models After Short But Intensive Training

Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals

Internal forward models in the cerebellum: fMRI study on grip force and load force coupling

Estimation of hyper-parameters for a hierarchical model of combined cortical and extra-brain current sources in the MEG inverse problem

A model of smooth pursuit in primates based on learning the target dynamics

Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS)

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