Mitsuo Kawato

Affiliations: 
ATR Computational Neuroscience Laboratories, Stoke-on-Trent, England, United Kingdom 
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"Mitsuo Kawato"
Mean distance: 12.9 (cluster 29)
 
SNBCP

Children

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Kazuhisa Shibata grad student
Megumi Fukuda grad student 2009-2011 ATR
etienne burdet post-doc ATR
David W. Franklin post-doc ATR
Hiroaki Gomi post-doc ATR
Nicolas Schweighofer post-doc ATR
Thierry Chaminade post-doc 2003-2005 ATR
Vikram S. Chib post-doc 2006-2007 ATR
Kenji Doya research scientist ATR
Yasushi Kobayashi research scientist ATR
Jessica Elizabeth Taylor research scientist 2016- ATR
Shigeaki Nishina research scientist 1996-2006 ATR

Collaborators

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Yuka Sasaki collaborator ATR
Aaron R. Seitz collaborator Boston University
Takeo Watanabe collaborator ATR
BETA: Related publications

Publications

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Yamashita A, Yahata N, Itahashi T, et al. (2019) Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias. Plos Biology. 17: e3000042
Takeda Y, Suzuki K, Kawato M, et al. (2019) MEG Source Imaging and Group Analysis Using VBMEG. Frontiers in Neuroscience. 13: 241
Cortese A, De Martino B, Kawato M. (2019) The neural and cognitive architecture for learning from a small sample. Current Opinion in Neurobiology. 55: 133-141
Michel M, Beck D, Block N, et al. (2019) Opportunities and challenges for a maturing science of consciousness. Nature Human Behaviour. 3: 104-107
Shimokawa T, Nishio A, Sato MA, et al. (2019) Computational Model for Human 3D Shape Perception From a Single Specular Image. Frontiers in Computational Neuroscience. 13: 10
Shibata K, Lisi G, Cortese A, et al. (2018) Toward a comprehensive understanding of the neural mechanisms of decoded neurofeedback. Neuroimage
Yamashita M, Yoshihara Y, Hashimoto R, et al. (2018) A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity. Elife. 7
Watanabe T, Sasaki Y, Shibata K, et al. (2018) Advances in fMRI Real-Time Neurofeedback: (Trends in Cognitive Sciences 21, 997-1010, 2017). Trends in Cognitive Sciences
Taschereau-Dumouchel V, Cortese A, Chiba T, et al. (2018) Towards an unconscious neural reinforcement intervention for common fears. Proceedings of the National Academy of Sciences of the United States of America
Koizumi A, Cortese A, Amano K, et al. (2017) [Modulation of Metacognition with Decoded Neurofeedback]. Brain and Nerve = Shinkei Kenkyu No Shinpo. 69: 1427-1432
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