Mitsuo Kawato

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


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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


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


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Taylor JE, Lau H, Seymour B, et al. (2020) An Evolutionarily Threat-Relevant Odor Strengthens Human Fear Memory. Frontiers in Neuroscience. 14: 255
Taschereau-Dumouchel V, Cortese A, Lau H, et al. (2020) Conducting Decoded Neurofeedback Studies. Social Cognitive and Affective Neuroscience
Yoshihara Y, Lisi G, Yahata N, et al. (2020) Overlapping but Asymmetrical Relationships Between Schizophrenia and Autism Revealed by Brain Connectivity. Schizophrenia Bulletin
Ichikawa N, Lisi G, Yahata N, et al. (2020) Primary functional brain connections associated with melancholic major depressive disorder and modulation by antidepressants. Scientific Reports. 10: 3542
Sanger TD, Yamashita O, Kawato M. (2019) Expansion coding and computation in the cerebellum: 50 years after the Marr-Albus codon theory. The Journal of Physiology
Taschereau-Dumouchel V, Kawato M, Lau H. (2019) Multivoxel pattern analysis reveals dissociations between subjective fear and its physiological correlates. Molecular Psychiatry
Chiba T, Kanazawa T, Koizumi A, et al. (2019) Current Status of Neurofeedback for Post-traumatic Stress Disorder: A Systematic Review and the Possibility of Decoded Neurofeedback. Frontiers in Human Neuroscience. 13: 233
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
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