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Takeo Watanabe

John Brown University · US
Area of research
Cognitive Neuroscience
Research interest
Research interests include Visual perception and processing mechanisms, Neural dynamics and brain function, Neural and Behavioral Psychology Studies, and Sleep and Wakefulness Research.
h-index
50
citations
8,866
works
316
NIH funding
primary concept
email

Recent publications

Integrating vision and decision-making models with end-to-end trainable recurrent neural networks
Journal of Vision 2024cited by 0position: middledoi
Perceptual Learning: Policy Insights From Basic Research to Real-World Applications
Policy Insights from the Behavioral and Brain Sciences 2023cited by 8position: middledoi
Protocol to conduct functional magnetic resonance spectroscopy in different age groups of human participants
STAR Protocols 2023cited by 7position: lastdoi
A neural geometry theory comprehensively explains apparently conflicting models of visual perceptual learning
bioRxiv (Cold Spring Harbor Laboratory) 2023cited by 2position: middledoi
Only cortical prediction error signals are involved in visual learning, despite availability of subcortical prediction error signals
bioRxiv (Cold Spring Harbor Laboratory) 2023cited by 0position: lastdoi
Efficient learning in children with rapid GABA boosting during and after training
Current Biology 2022cited by 35position: lastdoi
Transfer of Tactile Learning from Trained to Untrained Body Parts Supported by Cortical Coactivation in Primary Somatosensory Cortex
Journal of Neuroscience 2022cited by 16position: middledoi
Efficient learning in children with rapid GABA boosting after training
bioRxiv (Cold Spring Harbor Laboratory) 2022cited by 0position: lastdoi
The DecNef collection, fMRI data from closed-loop decoded neurofeedback experiments
Scientific Data 2021cited by 18position: middledoi
Visual perceptual learning of a primitive feature in human V1/V2 as a result of unconscious processing, revealed by decoded functional MRI neurofeedback (DecNef)
Journal of Vision 2021cited by 14position: lastdoi
Mechanisms that stabilize visual perceptual learning differ in children and adults: Evidence from psychophysics and magnetic resonance spectroscopy
Journal of Vision 2021cited by 0position: lastdoi
Fundamental Differences in Visual Perceptual Learning between Children and Adults
Current Biology 2020cited by 35position: lastdoi
Dramatic Changes in Mechanisms of Task-Irrelevant Visual Perceptual Learning from Childhood to Adulthood
Journal of Vision 2020cited by 1position: lastdoi
Visual perceptual learning of a primitive feature in human V1/V2 as a result of unconscious processing, revealed by Decoded fMRI Neurofeedback (DecNef)
bioRxiv (Cold Spring Harbor Laboratory) 2020cited by 0position: lastdoi
Opportunities and challenges for a maturing science of consciousness
Nature Human Behaviour 2019cited by 130position: middledoi
Perceptual learning of lesions in mammograms induced by response feedback during training
bioRxiv (Cold Spring Harbor Laboratory) 2019cited by 0position: lastdoi
Different types of response feedback in perceptual training are necessary to improve the detection of different types of breast cancer
Journal of Vision 2019cited by 0position: lastdoi
Consolidation and reconsolidation share behavioural and neurochemical mechanisms
Nature Human Behaviour 2018cited by 76position: middledoi
Visual perceptual learning by operant conditioning training follows rules of contingency
Visual Cognition 2015cited by 17position: lastdoi
Enhanced Spontaneous Oscillations in the Supplementary Motor Area Are Associated with Sleep-Dependent Offline Learning of Finger-Tapping Motor-Sequence Task
Journal of Neuroscience 2013cited by 90position: middledoi
Resetting capacity limitations revealed by long-lasting elimination of attentional blink through training
Proceedings of the National Academy of Sciences 2012cited by 65position: lastdoi
Monocular deprivation boosts long-term visual plasticity
Current Biology 2012cited by 15position: middledoi

Grants

NSF-BSF: Reactivation and sleep in visual and motor skill acquisition: learning beyond training
NSF2241417$573,4252023–2026PIRePORTER

Frequent collaborators

Yuka Sasaki · Brown University17 papers (2012–2023)Kazuhisa Shibata · RIKEN Center for Brain Science6 papers (2012–2021)Andrea Qi · Tulane University5 papers (2019–2022) · 4 papers (2012–2021)Masako Tamaki · Brown University3 papers (2013–2021)Yu-Ang Cheng · Brown University2 papers (2023–2024)M. Becker · Johannes Gutenberg University Mainz2 papers (2021–2022)Takashi Yamada · Brown University2 papers (2020–2021)Eric L. Rosen · University of Colorado Denver2 papers (2019–2019)Daniela Ravasio · Brown University2 papers (2019–2019)Michael S. Worden · Brown University2 papers (2020–2021)Dongho Kim · Institute for Basic Science2 papers (2015–2023)Zhiyan Wang · Brown University2 papers (2021–2023)Christopher C. Pack · McGill University Health Centre1 papers (2023–2023) · 1 papers (2023–2023)José E. Náñez · Arizona State University1 papers (2013–2013)Krystel R. Huxlin · University of Rochester Medical Center1 papers (2023–2023)Michael H. Herzog · École Polytechnique Fédérale de Lausanne1 papers (2023–2023)Duje Tadin · University of Rochester Medical Center1 papers (2023–2023)Fa‐Hsuan Lin · Sunnybrook Health Science Centre1 papers (2013–2013)