Revised: April 12, 2024
[331] Taylor JE, Oka T, Murakami M, Motegi T. Yamada T, Kawashima T, Kobayashi Y, Yoshihara Y, Miyata J, Murai T, Kawato M & Cortese A: Paving the way for precision treatment of psychiatric symptoms with functional connectivity neurofeedback, medRxiv, 24304187; doi: https://doi.org/10.1101/2024.04.03.24304187 (2024)
[330] Yamashita O, Yamashita A, Takahara Y, Sakai Y, Okamoto Y, Okada G, Takamura M, Nakamura M, Itahashi T, Hanakawa T, Togo H, Yoshihara Y, Murai T, Okada T, Narumoto J, Takahashi H, Takagishi H, Hosomi K, Kasai K, Okada N, Abe O, Imamizu H, Hayashi T, Koike S, Tanaka SC, Kawato M, Brain/MINDS Beyond Human Brain MRI Group: Computational mechanisms of neuroimaging biomarkers uncovered by multicenter resting-state fMRI connectivity variation profile, bioRxiv, 2024.04.01.587535; doi: https://doi.org/10.1101/2024.04.01.587535 (2024)
[329] Kawato M: Interplay between computational neuroscience and humanoid robotics: past and future, International Journal of Humanoid Robotics, 21(1), 2350024 (2024)
[328] Cortese A, Kawato M: The cognitive reality monitoring network and theories of consciousness, Neuroscience Research, doi: https://doi.org/10.1016/j.neures.2024.01.007 (2024)
[327] Kasahara M, Oka T, Taschereau-Dumouchel V, Kawato M, Takakura H, Cortese A: Generative AI-based closed-loop fMRI system, arXiv.org, doi: https://doi.org/10.48550/arXiv.2401.16742 (2024)
[326] Kawashima T, Yamashita A, Yoshihara Y, Kobayashi Y, Okada N, Kasai K, Huang MC, Sawa A, Yoshimoto J, Yamashita O, Murai T, Miyata J, Kawato M, Takahashi H: Generalisable functional imaging classifiers of schizophrenia have multifunctionality as trait, state, and staging biomarkers. medRxiv, doi: https://doi.org/10.1101/2024.01.02.23300101 (2024)
[325] Chiba T, Ide K, Murakami M, Kobayashi N, Oka T, Nakai F, Yorizawa R, Miyake Y, Hamamura T, Honjo M, Toda H, Kanazawa T, Boku S, Kubo T, Hishimoto A, Kawato M, Cortese A: Event-related PTSD symptoms as a high-risk factor for suicide—Longitudinal observational study. Nature Mental Health, 1, 1013–1022 (2023)
[324] Berman T, Cushing C, Manuel S, Vachon-Presseau E, Cortese A, Kawato M, Woo CW, Wager TD, Lau H, Roy M, Taschereau-Dumouchel V: Modulating subjective pain perception with decoded MNI-space neurofeedback, bioRxiv, 2023.10.25.563972; doi: https://doi.org/10.1101/2023.10.25.563972 (2023)
[323] Yoshiiwa S, Takano H, Ido K, Nagata Y, Kawato M, Morishige K: Group analysis and classification of working memory task conditions using electroencephalogram cortical currents during an n-back task, Frontiers in Neuroscience, 17:1222749 (2023)
[322] Hoang H, Tsutsumi S, Matsuzaki M, Kano M, Kawato M, Kitamura K, Toyama K: Dynamic organization of cerebellar climbing fiber response and synchrony in multiple functional components reduces dimensions for reinforcement learning, eLife,12:e86340 (2023)
[321] Takamura M, Okada G, Kamishikiryo T, Itai E, Kato M, Motegi T, Taylor JE, Yoshioka T, Kawato M, Okamoto Y: Application of functional connectivity neurofeedback to patients with treatment-resistant depression: a preliminary report, Journal of Affective Disorders Reports, 14: 100644 (2023)
[320] Itahashi T, Yamashita A, Takahara Y, Yahata N, Aoki YY, Fujino J, Yoshihara Y, Nakamura M, Aoki R, Ohta H, Sakai Y, Takamura M, Ichikawa N, Okada G, Okada N, Kasai K, Tanaka SC, Imamizu H, Kato N, Okamoto Y, Takahashi H, Kawato M, Yamashita O, Hashimoto R: Generalizable neuromarker for autism spectrum disorder across imaging sites and developmental stages: A multi-site study. bioRxiv , 2023.03.13.532374; doi: https://doi.org/10.1101/2023.03.26.534053 (2023)
[319] Sato Y, Okada G, Yokoyama S, Ichikawa N, Takamura M, Mitsuyama M, Shimizu A, Itai E, Shinzato H, Kawato M, Yahata N, Okamoto Y: Resting-state functional connectivity disruption between the left and right pallidum as a biomarker for subthreshold depression, Scientific Reports, 13(6349) *online publication (2023)
[318] Ishida T, Nakamura Y, Tanaka SC Mitsuyama Y, Yokoyama S, Shinzato H, Itai E, Okada G, Kobayashi Y, Kawashima T, Miyata J, Yoshihara Y, Takahashi H, Morita S, Kawakami S, Abe O, Okada N, Kunimatsu A, Yamashita A, Yamashita O, Imamizu H, Morimoto J, Okamoto Y, Murai T, Kasai K; Kawato M, Koike S: Aberrant large-scale network interactions across psychiatric disorders revealed by large-sample multi-site resting-state functional magnetic resonance imaging datasets, Schizophrenia Bulletin, doi: https://doi.org/10.1093/schbul/sbad022 (2023)
[317] Cushing CA, Lau H, Kawato M, Craske MG, Taschereau-Dumouchel V: A pre-registered decoded neurofeedback intervention for specific phobias, medRxiv, doi: https://doi.org/10.1101/2023.04.25.23289107 (2023)
[316] Nakamura Y, Ishida T, Tanaka SC, Mitsuyama Y, Yokoyama S, Shinzato H, Itai E, Okada G, Kobayashi Y, Kawashima T, Miyata J, Yoshihara Y, Takahashi H, Aoki R, Nakamura M, Ota H, Itahashi T, Morita S, Kawakami S, Abe O, Okada N, Kunimatsu A, Yamashita A, Yamashita O, Imamizu H, Morimoto J, Okamoto Y, Murai T, Hashimoto R, Kasai K, Kawato M, Koike S: Distinctive alterations in the mesocorticolimbic circuits in various psychiatric disorders, Psychiatry and Clinical Neurosciences, 6:345-354, doi: https://doi.org/10.1111/pcn.13542 (2023)
[315] Hoang H, Tsutsumi S, Matsuzaki M, Kano M, Toyama K, Kitamura K, Kawato M: Negative reward-prediction errors of climbing fiber inputs for cerebellar reinforcement learning algorithm bioRxiv, 2023.03.13.532374; doi: https://doi.org/10.1101/2023.03.13.532374 (2023)
[314] Takai A, Fu Q, Doibata Y, Lisi G, Tsuchiya T, Mojtahedi K, Yoshioka T, Kawato M, Morimoto J, Santello M: Learning acquisition of consistent leader-follower relationships depends on implicit haptic interactions, Scientific Reports, 13(3476) *online publication (2023)
[313] Okada G, Yoshioka T, Yamashita A, Itai E, Yokoyama S, Kamishikiryo T, Shinzato H, Masuda Y, Mitsuyama Y, Kan S, Kurata A, Takamura M, Yoshino A, Mantani A, Yamamoto O, Yokota N, Tamura T, Jitsuiki H, Kawato M, Yamashita O, Sakai Y, Okamoto Y: 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, 326, 262-266 (2023)
[312] Okada G, Sakai Y, Shibakawa M, Yoshioka T, Itai E, Shinzato H, Yamamoto O, Kurata K, Tamura T, Jitsuiki H, Yamashita H, Mantani A, Yokota N, Kawato M, Okamoto Y: Examining the usefulness of the brain network marker program using fMRI for the diagnosis and stratification of major depressive disorder: a non-randomized study protocol, BMC Psychiatry, 23:63 (2023)
[311] Hoang H, Tsutsumi S, Matsuzaki M, Kano M, Kawato M, Kitamura K, Toyama K: Dynamic organization of cerebellar climbing fiber response and synchrony in multiple functional modules reduces dimensions for reinforcement learning, bioRxiv, 2022.12.05.518634, doi: https://doi.org/10.48550/arXiv.2208.08478 (2022)
[310] Orouji S, Taschereau-Dumouchel V, Cortese A, Odegaard B, Cushing C, Cherkaoui M, Kawato M, Lau H, Peters MAK: “Task-relevant autoencoding” enhances machine learning for human neuroscience, arXiv.org, 2208.08478, doi: https://doi.org/10.48550/arXiv.2208.08478 (2022)
[309] Takai A, Fu Q, Doibata Y, Lisi G, Tsuchiya T, Mojtahedi K, Yoshioka T, Kawato M, Morimoto J, Santello M: Two are not always better than one: Role specialization is an important determinant of collaborative task performance, arXiv.org, 2205.06196, doi: https://doi.org/10.48550/arXiv.2205.06196 (2022)
[308] Takeuchi H, Yahata N, Lisi G, Tsurumi K, Yoshihara Y, Kawada R, Murao T, Mizuta H, Yokomoto T, Miyagi T, Nakagami Y, Yoshioka T, Yoshimoto J, Kawato M, Murai T, Morimoto J & Takahashi T: Development of a classifier for gambling disorder based on functional connections between brain regions Psychiatry and Clinical Neurosciences, 76: 260–267, doi: https://doi.org/10.1111/pcn.13350 (2022)
[307] Taylor JE, Yamada T, Kawashima T, Kobayashi Y, Yoshihara Y, Miyata J, Murai T, Kawato M & Motegi T: Depressive
symptoms reduce when dorsolateral prefrontal cortex-precuneus
connectivity normalizes after functional connectivity neurofeedback Scientific Reports, 12(2581) *online publication (2022)
[306] Takai A, Fu Q, Doibata Y, Lisi G, Tsuchiya T, Mojtahedi K, Yoshioka T, Kawato M, Morimoto J, Santello M: Leaders are made: learning acquisition of consistent leader-follower relationships depends on implicit haptic interactions, bioRxiv, doi: https://doi.org/10.1101/2021.12.09.471486 (2021)
[305] Oka T, Kubo T, Kobayashi N, Nakai F, Miyake Y, Hamamura T, Honjo M, Toda H, Boku S, Kanazawa T, Nagamine M, Cortese A, Takebayashi M, Kawato M, Chiba T: Multiple time measurements of multidimensional psychiatric states from immediately before the COVID-19 pandemic to one year later: a longitudinal online survey of the Japanese population, Translational Psychiatry, 11:573, https://doi.org/10.1038/s41398-021-01696-x (2021)
[304] Kawato M & Cortese A: From internal models toward metacognitive AI, Biological Cybernetics, 115:415–430, https://doi.org/10.1007/s00422-021-00904-7 (2021)
[303] Kawato M & Cortese A: From internal models toward metacognitive AI, arXiv.org, 2109.12798 (2021)
[302] Tanaka SC, Yamashita A, Yahata N, Itahashi T, Lisi G, Yamada T, Ichikawa N, Takamura M, Yoshihara Y, Kunimatsu A, Okada N, Hashimoto R, Okada G, Sakai Y, Morimoto J, Narumoto J, Shimada Y, Mano H, Yoshida W, Seymour B, Shimizu T, Hosomi K, Saitoh Y, Kasai K, Kato N, Takahashi H, Okamoto Y, Yamashita O, Kawato M, Imamizu H: A multi-site, multi-disorder resting-state magnetic resonance image database, Scientific Data, 8(227), https://doi.org/10.1038/s41597-021-01004-8 (2021)
[301] Wang Z, Tamaki M, Frank SM, Shibata K, Worden MS, Yamada T, Kawato M, Sasaki Y, Watanabe T: 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, 21(8):24, https://doi.org/10.1167/jov.21.8.24. (2021)
[300] Oka T, Hamamura T, Miyake Y, Kobayashi N, Honjo M, Kawato M, Kubo T, Chiba T: 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, 142, 218–225 https://doi.org/10.1016/j.jpsychires.2021.07.054
[299] Cortese A, Yamamoto A, Hashemzadeh M, Sepulveda P, Kawato M, De Martino B: Value signals guide abstraction during learning, eLife, 10:e68943, https://doi.org/10.7554/eLife.68943 (2021)
[298] Morishige K, Hiroe N, Sato M, Kawato M: Common cortical areas have different neural mechanisms for covert and overt visual pursuits, Scientific Reports, 11(13933), https://doi.org/10.1038/s41598-021-93259-9 (2021)
[297] Yamashita A, Sakai Y, Yamada T, Yahata N, Kunimatsu A, Okada N, Itahashi T, Hashimoto R, Mizuta H, Ichikawa N, Takamura M, Okada G, Yamagata H, Harada K, Matsuo K, Tanaka SC, Kawato M, Kasai K, Kato N, Takahashi H, Okamoto Y, Yamashita O Imamizu H : Common brain networks between major depressive-disorder diagnosis and symptoms of depression that are validated for independent cohorts, Frontiers in Psychiatry, 12:667881, https://doi.org/10.3389/fpsyt.2021.667881 (2021)
[296] Koike
S, Tanaka SC, Okada T, Aso T, Yamashita A, Yamashita O, Asano M,
Maikusa N, Morita K, Okada N, Fukunaga M, Uematsu A, Togo H, Miyazaki
A, Murata K, Urushibata
Y, Autio J, Ose T, Yoshimoto J, Araki T, Glasser MF, Van Essen DC,
Maruyama M, Sadato N, Kawato M, Kasai K, Okamoto Y, Hanakawa T, Hayashi
T, Brain/MINDS Beyond Human Brain MRI Group: Brain/MINDS
beyond human brain MRI project: a protocol for multi-level harmonization
across brain disorders throughout the lifespan, Neuroimage: Clinical, https://doi.org/10.1016/j.nicl.2021.102600 (2021)
[295] Ikegami T, Ganesh G, Gibo TL, Yoshioka T, Osu R Kawato M: Hierarchical motor adaptations negotiate failures during force field learning, PloS Computational Biology, 17(4): e1008481, doi: https://doi.org/10.1371/journal.pcbi.1008481(2021)
[294] Oka T, Hamamura T, Miyake Y, Kobayashi N, Honjo M, Kawato M, Kubo T, Chiba T: Prevalence and risk factors of internet gaming disorder and problematic internet use before and during the COVID-19 pandemic: A large onlinesurvey of Japanese adults, medRxiv, doi: https://doi.org/10.1101/2021.03.30.21254614 (2021)
[293] Ikeda K, Ide S, Omoe H, Minami M, Miyata H, Kawato M, Okamoto H, Kikuchi T, Saito Y, Shirao T, Sekino Y, Murai T, Matsumoto T, Iseki M, Nishitani Y, Sumitani M, Takahashi H, Yamawaki S, Isa T, Kamio Y: Required research activities to overcome addiction problems in Japan, Taiwanese Journal of Psychiatry, 35(1), doi: https://doi: 10.4103/TPSY.TPSY_3_21 (2021)
[292] Cortese A, Tanaka SC, Amano K, Koizumi A, Lau H, Sasaki Y, Shibata K, Taschereau-Dumouchel V, Watanabe T & Kawato M: The DecNef collection, fMRI data from closed-loop decoded neurofeedback experiments, Scientific Data, 8(65), doi: https://doi.org/10.1038/s41597-021-00845-7 (2021)
[291] Taylor JE, Yamada T, Kawashima T, Kobayashi Y, Yoshihara Y, Miyata J, Murai T, Kawato M & Motegi T: Reduction of brooding and more general depressive symptoms after fMRI neurofeedback targeting a melancholic functional-connectivity biomarker, medRxiv, doi: https://doi.org/10.1101/2021.01.21.20248810 (2021)
[290] Chiba T, Oka T, Hamamura T, Kobayashi N, Honjo M, Miyake Y, Kubo T, Toda H, Kanazawa T, Boku S, Hishimoto A, Kawato M, Cortese A : PTSD symptoms related to COVID-19 as a high risk factor for suicide - Key to prevention, medRxiv, doi: https://doi.org/10.1101/2020.12.15.20246819 (2020)
[289] Yamashita A, Sakai Y, Yamada T, Yahata N, Kunimatsu A, Okada N, Itahashi T, Hashimoto R, Mizuta H, Ichikawa N, Takamura M, Okada G, Yamagata H, Harada K, Matsuo K, Tanaka SC, Kawato M, Kasai K, Kato N, Takahashi H, Okamoto Y, Yamashita O & Imamizu H: Generalizable brain network markers of major depressive disorder across multiple imaging sites, PLoS Biology, 18(12): e3000966, doi:https://doi.org/10.1371/journal.pbio.3000966 (2020)
[288] Cortese A, Yamamoto A, Hashemzadeh M, Sepulveda P, Kawato M, De Martino B: Value shapes abstraction during learning, bioRxiv, doi: https://doi.org/10.1101/2020.10.29.361469 (2020)
[287] Hoang H, Sato M, Shinomoto S, Tsutsumi S, Hashizume M, Ishikawa T, Kano M, Ikegaya Y, Kitamura K, Kawato M, Toyama K: Improved hyperacuity estimation of spike timing from calcium imaging, Scientific Reports, 10(17844) (2020) *online publication
[286] Sanger TD, Kawato M: A cerebellar computational mechanism for delay conditioning at precise time intervals, Neural Computation, 32, 2069–2084, doi: https://doi.org/10.1162/neco_a_01318 (2020)
[285] Cortese A, Lau H, Kawato M: Unconscious reinforcement learning of hidden brain states supported by confidence, Nature Communications, 11: 4429, doi: https://doi.org/10.1038/s41467-020-17828-8 (2020)
[284] Zhang S, Yoshida W, Mano H, Yanagisawa T, Mancini F, Shibata K, Kawato M & Seymour B: Pain control by co-adaptive learning in a brain-machine interface, Current Biology, 30(20), 3935-3944, doi: https://doi.org/10.1016/j.cub.2020.07.066 (2020) *online publication
[283] Hoang H, Lang EJ, Hirata Y, Tokuda IT, Aihara K, Toyama K, Kawato M & Schweighofer N: Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons, PLoS Computational Biology, 16(7): e1008075. doi: https://doi.org/10.1371/journal.pcbi.1008075 (2020)
[282] Ikegami T, Ganesh G, Gibo TL, Yoshioka T, Osu R and Kawato M : Hierarchical motor adaptations negotiate failures during force field learning, bioRxiv, doi: https://doi.org/10.1101/2020.07.16.207084 (2020)
[281] Chiba T, Ide K, Taylor JE, Boku S, Toda H, Kanazawa T, Kato S, Horiuchi Y, Hishimoto A, Maruyama T, Yamamoto T, Shirakawa M, Sora I, Kawato M & Koizumi A: A reciprocal inhibition model of alternations between under-/overemotional modulatory states in patients with PTSD, Molecular Psychiatry, doi: https://doi.org/10.1038/s41380-020-0827-0 (2020)
[280] Kawato M, Ohmae S, Hoang H, Sanger TD: 50 years since the Marr, Ito, and Albus models of the cerebellum, Neuroscience, 462, 151–174. doi: https://doi.org/10.1016/j.neuroscience.2020.06.019 (2020)
[279] Taylor JE, Lau H, Seymour B, Nakae A, Sumioka H, Kawato M, Koizumi A: Corrigendum: an evolutionarily threat-relevant odor strengthens human fear memory, Frontiers in Neuroscience, 14(638), 1-2, doi:https://doi.org/10.3389/fnins.2020.00638 (2020)
[278] Taschereau-Dumouchel V, Cortese A, Lau H & Kawato
M: Conducting decoded neurofeedback studies, Social Cognitive and Affective Neuroscience, nsaa063, doi: https://doi.org/10.1093/scan/nsaa063 (2020)
[277] Koike S, Tanaka SC, Okada T, Aso T, Asano M, Maikusa N, Morita K, Okada N, Fukunaga M, Uematsu A, Togo H, Miyazaki A, Murata K, Urushibata Y, Autio J, Ose T, Yoshimoto J, Araki T, Glasser MF, Van Essen DC, Maruyama M, Sadato N, Kawato M, Kasai K, Okamoto Y, Hanakawa T, Hayashi T, Brain/MINDS Beyond Human Brain MRI Group: Brain/MINDS beyond human brain MRI study: multi-site harmonization for brain disorders throughout the lifespan, bioRxiv, doi: https://doi.org/10.1101/2020.05.05.076273 (2020)
[276] Yamashita A, Sakai Y, Yamada T, Yahata N, Kunimatsu A, Okada N, Itahashi T, Hashimoto R, Mizuta H, Ichikawa N, Takamura M, Okada G, Yamagata H, Harada K, Matsuo K, Tanaka SC, Kawato M, Kasai K, Kato N, Takahashi H, Okamoto Y, Yamashita O & Imamizu H: Common brain networks between major depressive disorder and symptoms of depression that are validated for independent cohorts, bioRxiv, doi: https://doi.org/10.1101/2020.04.22.056432 (2020)
[275] Taylor JE, Lau H, Seymour B, Nakae A, Sumioka H, Kawato M, Koizumi A: An evolutionarily threat-relevant odor strengthens human fear memory, Frontiers in Neuroscience, 14(255), 1-12, doi: https://doi.org/10.3389/fnins.2020.00255 (2020)
[274] Yoshihara Y, Lisi G, Yahata N, Fujino J, Matsumoto Y, Miyata J, Sugihara G, Urayama S, Kubota M, Yamashita M, Hashimoto R, Ichikawa N, Cahn W, Haren NEMV, Mori S, Okamoto Y, Kasai K, Kato N, Imamizu H, Kahn RS, Sawa A, Kawato M, Murai T, Morimoto J & Takahashi H: Overlapping but asymmetrical relationships between schizophrenia and autism revealed by brain connectivity, Schizophrenia Bulletin, 46(5):1210-1218, doi: https://doi.org/10.1093/schbul/sbaa021 (2020)
[273] Taschereau-Dumouchel V, Chiba T, Koizumi A, Kawato M & Lau H: Multivoxel neural reinforcement changes resting-state functional connectivity within the threat regulation network, bioRxiv, doi: https://doi.org/10.1101/2020.04.03.021956 (2020)
[272] Kawato M, Ohmae S, Hoang H, Sanger TD: 50 years since the Marr, Ito, and Albus models of the cerebellum, arXiv.org,2003.05647 (2020) *online publication
[271] Ichikawa N, Lisi G, Yahata N, Okada G, Takamura M, Hashimoto R, Yamada T, Yamada M, Suhara T, Moriguchi S, Mimura M, Yoshihara Y, Takahashi H, Kasai K, Kato N, Yamawaki S, Seymour B, Kawato M, Morimoto J & Okamoto Y: Primary functional brain connections associated with melancholic major depressive disorder and modulation by antidepressants, Scientific Reports, 10(3542) (2020)
[270] Sanger TD, Yamashita O, Kawato M: Expansion coding and computation in the cerebellum: 50 years after the Marr-Albus codon theory, The Journal of Physiology, 598(5), 913–928, doi: https://doi.org/10.1113/JP278745 (2019)
[269] Taschereau-Dumouchel V, Cortese A, Lau H & Kawato M: Conducting decoded neurofeedback studies, PsyArXiv, doi: https://doi.org/10.31234/osf.io/ydpgn (2019)
[268] Taschereau-Dumouchel V, Kawato M & Lau H: Multivoxel pattern analysis reveals dissociations between subjective fear and its physiological correlates, Mol Psychiatry, 25, 2342–2354, doi: https://doi.org/10.1038/s41380-019-0520-3 (2019)
[267] Chiba T, Ide K, Boku S, Taylor JE, Toda H, Kanazawa T, Kato S, Horiuchi Y, Hishimoto A, Maruyama T, Yamamoto T, Shirakawa M, Sora I, Kawato M & Koizumi A: A reciprocal inhibition model of alternations between non-dissociative and dissociative states in patients with PTSD, bioRxiv, doi: https://doi.org/10.1101/795732 (2019)
[266] Hoang H, Sato M, Shinomoto S, Tsutsumi S, Hashizume M, Ishikawa T, Kano M, Ikegaya Y, Kitamura K, Kawato M, Toyama K: Precise hyperacuity estimation of spike timing from calcium imaging, bioRxiv, doi: https://doi.org/10.1101/790600 (2019)
[265] Knotts JD, Cortese A, Taschereau-Dumouchel V, Kawato M & Lau H: Multivoxel patterns for perceptual confidence are associated with false color detection, bioRxiv, doi: https://doi.org/10.1101/735084 (2019)
[264] Chiba T, Kanazawa T, Koizumi A, Ide K, Taschereau-Dumouchel V, Boku S, Hishimoto A, Shirakawa M, Sora I, Lau H, Yoneda H & Kawato M: Current status of neurofeedback for Post-traumatic stress disorder: a systematic review and the possibility of decoded neurofeedback, Frontiers in Human Neuroscience, 13(233), https://doi.org/10.3389/fnhum.2019.00233 (2019)
[263] Yamashita A, Yahata N, Itahashi T, Lisi G, Yamada T, Ichikawa N, Takamura M, Yoshihara Y, Kunimatsu A, Okada N, Yamagata H, Matsuo K, Hashimoto R, Okada G, Sakai Y, Morimoto J, Narumoto J, Shimada Y, Kasai K, Kato N, Takahashi H, Okamoto Y, Tanaka SC, Kawato M, Yamashita O, Imamizu H: 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(4): e3000042. https://doi.org/10.1371/ journal.pbio.3000042 (2019)
[262] Cortese A, De Martino B, Kawato M: The neural and cognitive architecture for learning from a small sample, Current Opinion in Neurobiology, 55, 133-141, doi: https://doi.org/10.1016/j.conb.2019.02.011 (2019)
[261] Takeda Y, Suzuki K, Yamashita O, Kawato M: MEG source imaging and group analysis using VBMEG, Frontiers in Neuroscience, 13(241), 1-12, https://doi.org/10.3389/fnins.2019.00241 (2019)
[260] Shimokawa T, Nishio A, Sato M, Kawato M, Komatsu H: Computational model for human 3D shape perception from a single specular image, Frontiers in Computational Neuroscience, 13(10), doi: https://doi.org/10.3389/fncom.2019.00010 (2019)
[259] Cortese A, Lau H, Kawato M: Metacognition facilitates the exploitation of unconscious brain states, bioRxiv, doi: https://doi.org/10.1101/548941 (2019)
[258] Hoang H, Lang EJ, Hirata Y, Tokuda I, Aihara K, Toyama K, Kawato M, Schweighofer N: Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons, bioRxiv, doi: https://doi.org/10.1101/542183 (2019)
[257] Michel M, Beck D, Block N, Blumenfeld H, Brown R, Carmel D, Carrasco M, Chirimuuta M, Chun M, Cleeremans A, Dehaene S, Fleming SM, Frith C, Haggard P, He B, Heyes C, Goodale MA, Irvine L, Kawato M, Kentridge R, King JR, Knight RT, Kouider S, Lamme V, Lamy D, Lau H, Laureys S, LeDoux J, Lin YT, Liu K, Macknik S, Martinez-Conde S, Mashour GA, Melloni L, Miracchi L, Mylopoulos M, Naccache L, Owen AM, Passingham RE, Pessoa L, Peters MAK, Rahnev D, Ro T, Rosenthal D, Sasaki Y, Sergent C, Solovey G, Schiff ND, Seth A, Tallon-Baudry C, Tamietto M, Tong F, Gaal SV, Vlassova A, Watanabe T, Weisberg J, Yan K, Yoshida M: Opportunities and challenges for a maturing science of consciousness, Nature Human Behaviour, 3, 104–107, https://doi.org/10.1038/s41562-019-0531-8 (2019)
[256] Taschereau-Dumouchel V, Kawato M, Lau H: Multivoxel pattern analysis reveals dissociations between subjective fear and its physiological correlates bioRxiv, https://doi.org/10.1101/515973 (2019)
[255] Shibata K, Lisi G, Cortese A, Watanabe T, Sasaki Y, Kawato M: Toward a comprehensive understanding of neural mechanisms of decoded neurofeedback, NeuroImage, 188, 539–556 (2018) *online publication
[254] Yamashita M, Yoshihara Y, Hashimoto R, Yahata N, Ichikawa N, Sakai Y, Yamada T, Matsukawa N, Okada G, Tanaka SC, Kasai K, Kato N, Okamoto Y, Seymour B, Takahashi H, Kawato M, Imamizu H: A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity, eLife, 7:e38844 (2018) *online publication
[253] Yamashita A, Yahata N, Itahashi T, Lisi G, Yamada T, Ichikawa N, Takamura M, Yoshihara Y, Kunimatsu A, Okada N, Yamagata H, Matsuo K, Hashimoto R, Okada G, Sakai Y, Morimoto J, Narumoto J, Shimada Y, Kasai K, Kato N, Takahashi H, Okamoto Y, Tanaka SC, Kawato M, Yamashita O, Imamizu H: Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias, bioRxiv, doi: https://doi.org/10.1101/440875 (2018)
[252] Cortese A, De Martino B, Kawato M: The neural and cognitive architecture for learning from a small sample, arXiv.org,1810.02476 (2018) *online publication
[251] Yoshihara Y, Lisi G, Yahata N, Fujino J, Matsumoto Y, Miyata J, Sugihara G, Urayama S, Kubota M, Yamashita M, Hashimoto R, Ichikawa N, Cahn W, Haren NEMV, Mori S, Okamoto Y, Kasai K, Kato N, Imamizu H, Kahn RS, Sawa A, Kawato M, Murai T, Morimoto J & Takahashi H: Overlapping but asymmetrical relationships between schizophrenia and autism revealed by brain connectivity, bioRxiv, doi: http://dx.doi.org/10.1101/403212 (2018)
[250] Zhang S, Yoshida W, Mano H, Yanagisawa T, Shibata K, Kawato M, Seymour B: Endogenous controllability of closed-loop brain-machine interfaces for pain, bioRxiv, doi: http://dx.doi.org/10.1101/369736 (2018)
[249] Shimokawa T, Nishio A, Sato M, Kawato M, Komatsu H: Computational model for human 3D shape perception from a single specular image, bioRxiv, doi: https://doi.org/10.1101/383174 (2018)
[248] Taschereau-Dumouchel V, Cortese A, Chiba T, Knotts JD, Kawato M, Lau H: Towards an unconscious neural-reinforcement intervention for common fears Proc Nat Acad Sci USA, 115(13), 3470-3475 (2018)
[247] Mano H, Kotecha G, Leibnitz K, Matsubara T, Sprenger C, Nakae A, Shenker N, Shibata M, Voon V, Yoshida W, Lee M, Yanagida T, Kawato M, Rosa M, Seymour B : Classification and characterisation of brain network changes in chronic back pain: a multicenter study, Wellcome Open Research, 3:19 (2018)
[246] Zhang S, Mano H, Lee M, Yoshida W, Kawato M, Robbins TW, Seymour B: The control of tonic pain by active relief learning. eLife, 7:e31949 (2018)
[245] Hoang H, Sato M, Kawato M, Toyama K: Hyperacuity bayesian methods to enhance temporal resolution of two-photon recording of the complex spikes in the cerebellar Purkinje cells, bioRxiv, doi: 10.1101/220350 (2017)
[244] Watanabe T, Sasaki Y, Shibata K, Kawato M: Advances in fMRI real-time neurofeedback, Trends in Cognitive Sciences, 21(12), 997-1010 (2017) *online publication
[243] Mano H, Yoshida W, Shibata K, Zhang S, Koltzenburg M, Kawato M, Seymour B: Thermosensory perceptual learning is associated with structural brain changes in parietal-opercular (SII) cortex, Journal of Neuroscience, 37(39), 9380-9388 (2017) *online publication
[242] Tokuda I, Hoang H, Kawato M: New insights into olivo-cerebellar circuits for learning from a small training sample, Current Opinion in Neurobiology, 46, 58-67 (2017) *online publication
[241] Takagi Y, Sakai Y, Lisi G, Yahata N, Abe Y, Nishida S, Nakamae T, Morimoto J, Kawato M, Narumoto J, Tanaka SC: A neural marker of obsessive-compulsive disorder from whole-brain functional connectivity, Scientific Reports, 7(7538) (2017) *online publication
[240] Yamashita A, Hayasaka S, Kawato M, Imamizu H: Connectivity neurofeedback training can differentially change functional connectivity and cognitive performance, Cerebral Cortex, 27;4960–4970, doi: 10.1093/cercor/bhx177 (2017) *online publication
[239] Taschereau-Dumouchel V, Cortese A, Chiba T, Knotts JD, Kawato M, Lau H: Towards an unconscious neurotherapy for common fears, bioRxiv, doi: https://doi.org/10.1101/170183 (2017) *online publication
[238] Yamada T, Hashimoto R, Yahata N, Ichikawa N, Yoshihara Y, Okamoto Y, Kato N, Takahashi H, Kawato M: Resting-state functional connectivity-based biomarkers and functional MRI-based neurofeedback for psychiatric disorders: a challenge for developing theranostic biomarkers, Int J Neuropsychopharmacol, 20(10): 769–781, doi: 10.1093/ijnp/pyx059 (2017) *online publication
[237] Yamada T, Hashimoto R, Yahata N, Ichikawa N, Yoshihara Y, Okamoto Y, Kato N, Takahashi H, Kawato M: Resting-state functional connectivity-based biomarkers and functional MRI-based neurofeedback for psychiatric disorders: a challenge for developing theranostic biomarkers, arXiv.org, 1704.01039 (2017) *online publication
[236] Yahata N, Kasai K, Kawato M: Computational neuroscience approach to biomarkers and treatments for mental disorders, Psychiatry and Clinical Neurosciences, 71: 215–237 (2017) *online publication
[235] Ichikawa N, Lisi G, Yahata N, Okada G, Takamura M, Yamada M, Suhara T, Hashimoto R, Yamada T, Yoshihara Y, Takahashi H, Kasai K, Kato N, Yamawaki S, Kawato M, Morimoto J, Okamoto Y: Identifying melancholic depression biomarker using whole-brain functional connectivity, arXiv.org, 1704.01039 (2017) *online publication
[234] Takagi Y, Sakai Y, Lisi G, Yahata N, Abe Y, Nishida S, Nakamae T, Morimoto J, Kawato M, Narumoto J, Tanaka SC: A neural marker of obsessive-compulsive disorder from whole-brain functional connectivity, arXiv.org, 1703.05428 (2017) *online publication
[233] Cortese A, Amano K, Koizumi A, Lau H, Kawato M: Decoded fMRI neurofeedback can induce bidirectional confidence changes within single participants, NeuroImage, 149, 323–337 (2017) *online publication
[232] Takagi A, Ganesh G, Yoshioka T, Kawato M, Burdet E: Physically interacting individuals estimate the partner's goal to enhance their movements, Nature Human Behavior, 1:0054, doi: 10.1038/s41562-016-0054 (2017) *online publication
[231] Cortese A, Amano K, Koizumi A, Kawato M, Lau H: Multivoxel neurofeedback selectively modulates confidence without changing perceptual performance, Nature Communications, 7:13669 (2016) *online publication
[230] Shibata K, Sasaki Y, Watanabe T, Kawato M: Response to Comment on “Perceptual Learning Incepted by Decoded fMRI Neurofeedback Without Stimulus Presentation”; —How can a decoded neurofeedback method (DecNef) lead to successfulreinforcement and visual perceptual learning?— arXiv.org, 1612.03270 (2016) *online publication
[229] Koizumi A, Amano
K, Cortese A, Shibata
K, Yoshida W, Seymour B, Kawato M, Lau H: Fear reduction without fear through
reinforcement of neural activity that bypasses conscious exposure,
Nature Human Behavior, 1:0006,
doi:10.1038/s41562-016-0006
(2016) *online
publication
[228] Babiˇc J, Oztop
E, Kawato
M: Human motor
adaptation in whole body motion, Scientific
Reports, 6(32868) (2016) *online
publication
[227] Shibata
K, Watanabe T, Kawato M, Sasaki Y: Differential activation patterns
in the same brain region led to opposite emotional states, PLoS Biology, 14(9): e1002546 (2016) *online publication
[226] Sato T, Nambu I, Takeda K, Aihara T, Yamashita O, Isogaya Y, Inoue Y, Otaka Y, Wada Y, Kawato M, Sato M, Osu R: Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes, NeuroImage, 141, 120–132 (2016) *online publication
[225] Amano
K,
Shibata K, Kawato M, Sasaki Y, Watanabe T: Learning
to associate orientation with color in early visual areas by
associative decoded fMRI neurofeedback, Curr Biol, 26(14),
1861–1866
(2016)
[224] Shibata K, Sasaki Y, Kawato M, Watanabe T: Neuroimaging evidence for two types of plasticity in association with visual perceptual learning, Cerebral Cortex, 26 (9): 3681-3689, doi: 10.1093/cercor/bhw176 (2016) *online publication
[223] Lang EJ, Apps R, Bengtsson F, Cerminara NL, Zeeuw CID, Ebner TJ, Heck DH, Jaeger D, Jörntell H, Kawato M, Otis TS, Ozyildirim O, Popa LS, Reeves AMB, Schweighofer N, Sugihara I, Xiao J: The roles of the olivocerebellar pathway in motor learning and motor control, The Cerebellum, 16(1): 230-252, doi: 10.1007/s12311-016-0787-8 (2016)
[222] Yahata N, Morimoto J, Hashimoto R, Lisi G, Shibata K, Kawakubo Y, Kuwabara H, Kuroda M, Yamada T, Megumi F, Imamizu H, Nanez JE, Takahashi H, Okamoto Y, Kasai K, Kato N, Sasaki Y, Watanabe T, Kawato M : A small number of abnormal brain connections predicts adult autism spectrum disorder, Nature Communications, 7:11254, doi: 10.1038/ncomms11254 (2016) *online publication
[221] Cortese A, Amano K, Koizumi A, Lau H, Kawato M: Decoded fMRI neurofeedback can induce bidirectional behavioral changes within single participants, arXiv.org, 1603.03162 (2016) *online publication
[220] Shibata K, Watanabe T, Kawato M, Sasaki Y: Differential activation patterns in the same brain region led to opposite emotional states, arXiv.org, 1603.01351 (2016) *online publication
[219] Osu R, Morishige K, Nakanishi J, Miyamoto H, Kawato M: Practice reduces task relevant variance modulation and forms nominal trajectory, Scientific Reports, 5(17659), doi: 10.1038/srep17659 (2015) *online publication
[218] Nambu I, Hagura N, Hirose S, Wada Y, Kawato M, Naito E: Decoding sequential finger movements from preparatory activity in higher-order motor regions: a functional magnetic resonance imaging multi-voxel pattern analysis, European Journal of Neuroscience, 42, 2851–2859 (2015) *online publication
[217] Hoang H, Yamashita O, Tokuda I, Sato M, Kawato M, Toyama K: Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons from spike trains with complicated dynamics, Frontiers in Computational Neuroscience, 9(56) (2015) *online publication
[216] Megumi F, Yamashita A, Kawato M, Imamizu H: Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network, Frontiers in Human Neuroscience, 9(160), doi: 10.3389/fnhum.2015.00160 (2015) *online publication
[215] Morimoto J, Kawato M: Creating the brain and interacting with the brain: an integrated approach to understanding the brain, Journal of the Royal Society Interface, 12(20141250), doi: 10.1098/rsif.2014.1250 (2015) *online publication
[214] Yamashita M, Kawato
M, Imamizu
H:
Predicting
learning plateau of working memory from whole-brain intrinsic network
connectivity patterns,
Scientific Reports, 5(7622), doi:
10.1038/srep07622
(2015) *online
publication
[213] Watanabe H, Sakatani T, Suzuki T, Sato M, Nishimura Y, Nambu A, Kawato M, Isa T: Reconstruction of intracortical whisker-evoked local field potential from electrocorticogram using a model trained for spontaneous activity in the rat barrel cortex, Neuroscience Research, 87, 40-48 (2014)
[212] Morishige
K,
Yoshioka T, Kawawaki D, Hiroe N,
Sato M, Kawato
M:
Estimation
of hyper-parameters for a hierarchical model of combined cortical and
extra-brain current sources in the MEG inverse problem, NeuroImage, 101,
320-336
(2014)
[211] Umeda
T, Watanabe H,
Sato M, Kawato M, Isa
T, Nishimura Y: Decoding of the spike timing of primary
afferents during voluntary arm movements in monkeys,
Frontiers in
Neuroscience, 8(97), 1-14,
doi:
10.3389/fnins.2014.00097
(2014) *online
publication
[210] Ganesh G, Takagi A, Osu R, Yoshioka T, Kawato M, Burdet E: Two is better than one: Physical interactions improve motor performance in humans, Scientific Reports, 4(3824). doi: 10.1038/srep03824 (2014) *online publication
[209] Mistry M, Theodorou E, Schaal S, Kawato M: Optimal control of reaching includes kinematic constraints, Journal of Neurophysiology, 110, 1-11 (2013) *online publication
[208] Schweighofer N, Lang EJ, Kawato M: Role of the olivo-cerebellar complex in motor learning and control, Frontiers in Neural Circuits, 7(94), 1-9 (2013) *online publication
[207] Callan D, Terzibas C, Cassel D, Callan A, Kawato M, Sato M : Differential activation of brain regions involved with error-feedback and imitation based motor simulation when observing self and an expert’s actions in pilots and non-pilots on a complex glider landing task, NeuroImage, 72, 55-68 (2013)
[206] Onizuka M, Hoang H, Kawato M, Tokuda I, Schweighofer N, Katori Y, Aihara K, Lang EJ, Toyama K : Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from the spike trains by network model simulation, Neural Networks, 47, 51-63 (2013)
[205] Tokuda I, Hoang H, Schweighofer N,
Kawato
M: Adaptive coupling of inferior
olive neurons in cerebellar learning, Neural Networks, 47, 42-50
(2013)
[204] Oztop E, Kawato M, Arbib MA: Mirror neurons: functions, mechanisms and models, Neuroscience Letters, 540, 43-55 (2013)
[203] Umeda T, Seki K, Sato M, Nishimura Y, Kawato M, Isa T: Population coding of forelimb joint kinematics by peripheral afferents in monkeys, PLoS ONE, 7(10): e47749 (2012) *online publication
[202] Watanabe
H, Sato M, Suzuki T, Nambu
A,
Nishimura Y, Kawato M, Isa T: Reconstruction
of movement-related intracortical activity from
micro-electrocorticogram array signals in monkey primary motor cortex, Journal of Neural Engineering, 9, 036006 (16pp),
doi:10.1088/1741-2560/9/3/036006 (2012)
[201] Callan D, Gamez M, Cassel D, Terzibas C, Callan A, Kawato M, Sato M: Dynamic visuomotor transformation involved with remote flying of a plane utilizes the 'mirror neuron' system, PLoS ONE, 7(4): e33873. doi:10.1371 (2012) *online publication
[200] Fukushima M, Yamashita O, Kanemura A, Ishii S, Kawato M, Sato M: A state-space modeling approach for localization of focal current sources from MEG, IEEE Transactions on Biomedical Engineering, 59(6), 1561-1571 (2012)
[199]
Sugimoto N, Morimoto J, Hyon S, Kawato M: The
eMOSAIC
model for humanoid
robot control, Neural Networks,
29-30, 8-19 (2012)
[198] Shibata K, Sasaki Y, Kawato M, Watanabe T: Monocular deprivation boosts long-term visual plasticity, Current Biology, 22(9), R291-R292 (2012)
[197] Haruno M, Ganesh G, Burdet E, KawatoM: Differential neural correlates of reciprocal activation and co-contraction control in dorsal and ventral premotor cortices, Journal of Neurophysiology, 107, 126-133 (2012)
[196]
Sugimoto
N, Haruno M, Doya K, Kawato M: MOSAIC
for multiple-reward environments, Neural
Computation, 24, 577-606
(2012)
[195] Imamizu H, Kawato M: Cerebellar internal models: implications for dexterous use of tools, The Cerebellum, 11, 325-335 (2012)
[194] Osu
R, Ota K, Fujiwara T, Otaka Y, Kawato M, Liu M: Quantifying the quality of hand
movement in stroke patients through three-dimensional curvature,
Journal of NeuroEngineering and
Rehabilitation, 8:62
doi:10.1186/1743-0003-8-62 (2011)
[193] Aihara T, Takeda Y, Takeda K, Yasuda W, Sato T, Otaka Y, Hanakawa T, Honda M, Liu M, Kawato M, Sato M, Osu R: Cortical current source estimation from electroencephalography in combination with near-infrared spectroscopy as a hierarchical prior, NeuroImage, 59, 4006-4021 (2011)
[192] Shibata K,
Watanabe T, Sasaki Y, Kawato M: Perceptual
learning incepted by decoded
fMRI neurofeedback without stimulus presentation, Science, 334(6061),
1413-1415 (2011)
[191] Hirata M, Matsushita K, Suzuki T, Yoshida T, Sato F, Morris S, Yanagisawa T, Goto T, Kawato M, Yoshimine T: A fully-implantable wireless system for human brain-machine interfaces using brain surface electrodes: w-herbs, IEICE Transactions on Electronics, 94(B), 2448-2453 (2011)
[190] Kadiallah A, Liaw G, Kawato M, Franklin D, Burdet E: Impedance control is selectively tuned to multiple directions of movement, Journal of Neurophysiology, 106, 2737-2748 (2011)
[189] Chaminade T, Kawato M, Frith C: Individuals' and groups' intentions in the medial prefrontal cortex, NeuroReport, 22(16), 814-818 (2011)
[188] Kawato M, Kuroda S, Schweighofer N: Cerebellar
supervised learning revisited: biophysical modeling and
degrees-of-freedom control, Current
Opinion in Neurobiology, 21(5), 791-800 (2011)
[187] Toda A, Imamizu H, Kawato M, Sato M: Reconstruction of two-dimensional movement trajectories from selected magnetoencephalography cortical currents by combined sparse Bayesian methods, NeuroImage, 54, 892-905 (2011)
[186] Ogasawara
H, Kawato M: The
protein kinase Mzeta network as a bistable switch to store neuronal
memory, BMC Systems
Biology, 4,
181,
published in preliminary form (2010)
[185] Mitrovic D, Klanke S, Osu R, Kawato M, Vijayakumar S: A computational model of limb impedance control based on principles of internal model uncertainty, PLoS ONE, 5, e13601 doi 10.1371 (2010)
[184] Yamagishi N, Anderson S, Kawato M: The observant mind: self-awareness of attentional status, Proceedings of the Royal Society, London B, 277, 3421-3426 (2010)
[183] Ganesh G, Haruno M, Kawato M, Burdet E: Motor memory and local minimization of error and effort, not global optimization, determine motor behavior, Journal of Neurophysiology, 104, 382-390 (2010)
[182] Lemmin T, Ganesh G, Gassert R, Burdet E, Kawato M, Haruno M: Model based attenuation of movement artifacts in fMRI, Journal of Neuroscience Methods,192, 58-69 (2010)
[181] Tokuda I, Han C, Aihara K, Kawato M, Schweighofer N:Role of resonance in cerebellar learning, Neural Networks, 23, 836-842 (2010)
[180] Callan D, Callan A, Gamez M, Sato M, Kawato M: Premotor cortex mediates perceptual performance, NeuroImage, 51(2), 844-58 (2010)
[179] Katori Y, Lang EJ, Onizuka M, Kawato M, Aihara K: Quantitative modeling of the spatio-temporal dynamics of inferior olive neurons with a simple conductance-based model. International Journal of Bifurcation and Chaos, 20(3), 583-603 (2010)
[178] Tee KP, Franklin DW, Kawato M, Milner TE, Burdet E: Concurrent adaptation of force and impedance in the redundant muscle system. Biological Cybernetics, 102:31-44 (2010)
[177] Higuchi S, Chaminade T, Imamizu H, Kawato M: Shared neural correlates for language and tool-use in Broca's area. NeuroReport, 20, 1376-1381(2009)
[176] Shibata K, Yamagishi N, Ishii S, Kawato M: Boosting perceptual learning by fake feedback. Vision Research, 49(21), 2574-85 (2009)
[175] Nishina S, Kawato M, Watanabe T: Perceptual learning of global pattern motion occurs on the basis of local motion. Journal of Vision, 9, 1-6 (2009)
[174] Osu R, Morishige K, Miyamoto H, Kawato M: Feedforward impedance control efficiently reduce motor variability. Neuroscience Research, 65(1), 6-10 (2009）
[173] Nambu I, Osu R, Sato M, Ando S, Kawato M, Naito E: Single-trial reconstruction of finger-pinch forces from human motor-cortical activations measured by near-infrared spectroscopy (NIRS). NeuroImage, 47, 628-637 (2009)
[172] Imamizu H, Kawato M: Brain mechanisms for predictive control by switching internal models: implications for higher- order cognitive functions. Psychological Research, 73, 527-544 (2009)
[171] Haruno M, Kawato M: Activity in the superior temporal sulcus highlights learning competence in an interaction game. Journal of Neuroscience, 29, 4542-4547 (2009)
[170] Fujiwara Y, Yamashita O, Kawawaki D, Doya K, Kawato M, Toyama K, Sato M: A hierarchical bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts. NeuroImage, 45, 393-409 (2009)
[169] Ogasawara H, Kawato M: Bistable switches for synaptic plasticity. Science Signaling, 2(56), pe7. (2009)
[168] Franklin D, Burdet E, Peng T, Osu R, Meng C, Milner T, Kawato M: CNS learns stable accurate and efficient movements using a simple algorithm. Journal of Neuroscience, 28(44), 11165-11173 (2008)
[167] Imamizu H, Kawato M: Neural correlates of predictive and postdictive switching mechanisms for internal models. Journal of Neuroscience, 28(42), 10751-10765 (2008)
[166] Ting JA, D'Souza A, Yamamoto K, Yoshioka T, Hoffman D, Kakei S, Sergio L, Kalaska J, Kawato M, Strick P, Schaal S: Variational bayesian least squares: an application to Brain-Machine Interface data. Neural Networks, 21(8), 1112-1131 (2008)
[165] Ganesh G, Burdet E, Haruno M, Kawato M: Sparse linear regression for reconstructing muscle activity from human cortical fMRI. NeuroImage, 42(4), 1463-1472 (2008)
[164] Yoshioka T, Toyama K, Kawato M, Yamashita O, Nishina S, Yamagishi N, Sato M: Evaluation of hierarchical bayesian method through retinotopic signal reconstruction from MEG measurement. NeuroImage, 42, 1397-1413 (2008)
[163] Ogasawara H, Doi T, Kawato M: Systems biology perspectives on cerebellar long-term depression, NeuroSignals, 16, 300-317 (2008)
[162] Shibata K, Yamagishi N, Goda N, Yoshioka T, Yamashita O, Sato M, Kawato M: The effects of feature attention on pre-stimulus cortical activity in the human visual system. Cerebral Cortex, 18, 1664-1675 (2008)
[161] Oztop E, Babic J, Hale J, Cheng G, Kawato M: From biologically realistic imitation to robot teaching via human motor learning. Neural Information Processing, 214-221 (2008)
[160] Kawato M: From "Understanding the brain by creating the brain" towards manipulative neuroscience. Philosophical Transactions of the Royal Society B, 363, 2201-2214 (2008)
[159] Kawato M: Brain controlled robots. HFSP Journal, 2(3), 136-142 (2008)
[158] Chaminade T, Oztop E, Cheng G, Kawato M: From self-observation to imitation: visuomotor association on a robotic hand. Brain Research Bulletin, 75, 775-784 (2008)
[157] Yamagishi N, Callan DE, Anderson SJ, Kawato M: Attentional changes in pre-stimulus oscillatory activity within the early visual cortex are predictive of human visual performance. Brain Research, 1197, 115-122 (2008)
[156] Franklin DW, SO Udell, Burdet E, Kawato M: Visual feedback is not necessary for the learning of novel dynamics. PLoS ONE, 19; 2(12), e1336 (2007)
[155]
Callan DE,
Kawato M, Parsons L, Turner R: Speech and song: the role of the
cerebellum. Cerebellum, 2007 Feb 8, 1-7
(2007)
[154] Nishina S, Yazdanbakhsh A, Watanabe T, Kawato M: Depth propagation on illusory surface. Journal of Optical Society of America A, 27(4), 905-910 (2007)
[153] Nishina S, Seitz A, Kawato M, Watanabe T: Effect of spatial distance to the task stimulus on task-irrelevant perceptual learning of static gabors. Journal of Vision, 13(2), 1-10 (2007)
[152]
Oztop
E, Imamizu H, Cheng G, Kawato
M: A computational model of anterior intraparietal (AIP) neurons. Neurocomputing, 69, 1354-1361 (2007) .
[151] Imamizu H, Sugimoto N, Osu R, Tsutsui K, Sugiyama K, Wada Y, Kawato M: Explicit contextual information selectively contributes to predictive switching of internal models. Experimental Brain Research, 181, 395-408 (2007)
[150] Franklin D, Liaw G, Milner T, Osu R, Burdet E, Kawato M: End-point stiffness of the arm is directionally tuned to instability in the environment. Journal of Neuroscience, 27(29), 7705-7716 (2007)
[149] Tanaka K, Khiroug L, Santamaria F, Doi T, Ogasawara H, Ellis-Davies G, Kawato M, Augustine GJ: Ca2+ requirements for cerebellar long-term synaptic depression: role for a postsynaptic leaky integrator. Neuron, 54, 787-800 (2007)
[148] Chaminade T, Hodgins J, Kawato M: Anthropomorphism influences perception of computer-animated characters' actions. Social Cognitive and Affective Neuroscience, 2(3), 206-216 (2007)
[147]
Higuchi
S, Imamizu H, Kawato M: Cerebellar
activity evoked by common tool-use
execution and imagery tasks: an fMRI study. Cortex, 3, 350-358 (2007)
.
[146] Imamizu H, Higuchi S, Toda A, Kawato M:
Reorganization
of brain activity for multiple internal models after short but
intensive training. Cortex,
3, 338-349 (2007).
[145] Milner TE, Franklin D, Imamizu H, Kawato M: Central control of grasp: manipulation of objects with simple and complex dynamics, NeuroImage, 36, 388-395 (2007)
[144] Yamamoto K, Kawato M, Kotoaska S, Kitazawa S: Encoding of movement dynamics by Purkinje cell simple spike activity during fast arm movements under resistive and assistive force fields. Journal of Neurophysiology, 97, 1588-1599 (2007)
[143] Kawato M, Samejima K: Efficient reinforcement learning: computational theories, neuroscience and robotics. Current Opinion in Neurobiology, 17, 205-212 (2007)
[142]
Ganesh
G. Franklin D, Gassert
R, Imamizu H, Kawato M: Accurate
real-time feedback of surface EMG
during fMRI. Journal
of Neurophysiology,
97, 912-920 (2007)
[141]
Ogasawara H, Doi T, Doya K,
Kawato M: Nitric oxide regulates input
specificity of long-term depression and context dependence of
cerebellar learning. PLoS
Computational Biology, 3,
e179 (2007)
[140]
Samejima K, Katagiri K, Doya K, Kawato M: Sybolization and imitation
learning of motion sequence using competitive modules. Electronics and Communication in Japan,
Part III, 89(9), 42-53 (2006)
[139] Bursztyn LCD, Ganesh G, Imamizu H, Kawato M, Flanagan R: Neural correlates of internal model loading. Current Biology, 16, 2440-2445 (2006)
[138]
Haruno M, Kawato M:
Heterarchical
reinforcement-learning model for integration of multiple
cortico-striatal loops; fMRI examination in stimulus-action-reward
association learning. Neural Networks,
19,
1242–1254
(2006)
.
[137] Oztop E, Kawato M, Arbib M: Mirror neurons and imitation: a computationally guided review. Neural Networks, 19, 254–271 (2006) .
[136] Kawawaki D, Shibata T, Goda N, Doya K, Kawato M: Anterior and superior lateral occipito-temporal cortex responsible for target motion prediction during overt and covert visual pursuit. Neuroscience Research, 54, 112–123 (2006) .
[135] Haruno M, Kawato M: 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, 95, 948-959 (2006).
[134] Burdet E, Tee KP, Mareels I, Milner TE, Chew CM, Franklin DW, Osu R, Kawato M: Stability and motor adaptation in human arm movements. Biological Cybernetics, 94, 20-32 (2006) .
[133] Milner T, Franklin DW, Imamizu H, Kawato M: Central representation of dynamics when manipulating handheld objects. Journal of Neurophysiology, 95, 893-901 (2006).
[132] Hu Y, Osu R, Okada M, Goodale MA, Kawato M: A model of the coupling between grip aperture and hand transport during human prehension. Experimental Brain Research, 167, 301-304 (2005) .
[131] Yamagishi N, Goda N, Callan DE, Anderson SJ, Kawato M: Attentional shifts towards an expected visual target alter the level of alpha-band oscillatory activity in the human calcarine cortex. Cognitive Brain Research, 25, 799-809 (2005) .
[130] Seitz A, Yamagishi N, Werner B, Goda N, Kawato M, Watanabe T: Task-specific disruption of perceptual learning Proceedings of the National Academy of Sciences of the United States of America (PNAS), 102, 14895-14900 (2005) .
[129] Kaneko Y, Nakano E, Osu R, Wada Y, Kawato M: Trajectory formation based on the minimum commanded torque change model using the euler–poisson equation. Systems and Computers in Japan, 36, 92-103 (2005)
[128] Shibata T, Tabata T, Schaal S, and Kawato M: A model of smooth pursuit in primates based on learning the target dynamics. Neural Networks, 18, 213-224 (2005).
[127] Doi T, Kuroda S, Michikawa T, Kawato M: Insoitol, 1, 4, 5-trisphosphate-dependent Ca2+ threshold dynamics detect spike timing in cerebellar Purkinje Cells. Journal of Neuroscience, 25, 950-961 (2005).
[126] Oztop
E, Wolpert DM, Kawato M: Mental state
inference using visual control
parameters. Cognitive Brain
Research, 22, 129-151 (2005).
[125] Schultz J, Imamizu H, Kawato M, Frith CD: Activation of the human superior temporal gyrus during observation of goal attribution by intentional objects. Journal of Cognitive Neuroscience, 16, 1695-1705 (2004).
[124]
Sato
M, Yoshioka T, Kajiwara S, Toyama K, Goda N, Doya K, Kawato M:
Hierarchical
bayesian estimation for MEG inverse problem. NeuroImage,
23, 806-826 (2004).
[123] Miyamoto H, Nakano E, Wolpert DM, Kawato M: TOPS (Task Optimization in the Presence of Signal-dependent noise) model. Systems and Computers in Japan, 35, 48-58 (2004). (Translated from Denshi Tsushin Gakkai Ronbunshi, J85-D-II, 940-949)
[122] Caithness G, Osu R, Bays P, Chase H, Klassen J, Kawato M, Wolpert DM, Flanagan RJ: Failure to consolidate the consolidation theory of learning for sensorimotor adaptation tasks. Journal of Neuroscience. 24, 8662-8671 (2004).
[121] Franklin
D, So U, Kawato M, Milner TE: Impedance
control balances stability with
metabolically costly muscle activation. Journal
of
Neurophysiology, 92,
3097-3105 (2004).
[120]
Schaal S, Sternad D, Osu R, Kawato
M: Rhythmic
arm movement is not discrete. Nature
Neuroscience, 7, 1137-1144 (2004). (c) 2004 Nature
Publishing Group.
(News and Views Miall RC, Ivry R: Moving to
a different beat. Nature
Neuroscience, 7,
1025-1026 (2004).)
[119] Osu
R, Kamimura N, Iwasaki H, Nakano E, Harris CM, Wada Y, Kawato M: Optimal
impedance control for task achievement in the presence of
signal-dependent
noise. Journal
of Neurophysiology, 92, 1199-1215 (2004).
[118] Nakanishi J, Morimoto J, Endo G, Cheng G, Schaal S, Kawato M: Learning from demonstration and adaptation of biped locomotion. Robotics and Autonomous Systems, 47, 79-91 (2004).
[117] Wada Y, Kawato M: A via-point time optimization algorithm for complex sequential trajectory formation. Neural Networks, 17, 353-364 (2004).
[116] Miyamoto H, Morimoto J, Doya K, Kawato M: Reinforcement learning with via-point representation. Neural Networks, 17, 299-305 (2004).
[115] Schweighofer N, Doya K,
H. Fukai, Chiron JV, Furukawa T, Kawato. M: Chaos may enhance
information transmission in the inferior olive. Proc Natl Acad Sci USA., 101, 4655-4660 (2004).
[114] Taguchi S, Tabata H, Shibata T, Kawato M: Transformation from population codes to firing rate codes by learning: Neural representation of smooth pursuit eye movements. Systems and Computers in Japan, 35, 79-88 (2004).
[113] Haruno M, Kuroda T, Doya K, Toyama K, Kimura M, Samejima K, Imamizu H, Kawato M: A neural correlate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task. Journal of Neuroscience, 24, 1660-1665 (2004).
[112] Nishina S, Kawato M: A computational model of spatio-temporal dynamics in depth filling-in. Neural Networks, 17, 159-163 (2004).
[111]
Imamizu H, Kuroda T, Yoshioka T, Kawato M: Functional
magnetic resonance imaging examination of two modular architectures for
switching multiple internal models. Journal of Neuroscience,
24, 1173-1181(2004).
[110] Osu R, Hirai S, Yoshioka
T, Kawato M: Random
presentation enables subjects to adapt to two opposing forces on the
hand. Nature Neuroscience, 7, 111-112 (2004). (c)
Nature Publishing Group
[109] Okada
M, Nishina S, Kawato M: The neural
computation of the aperture problem: an iterative process. NeuroReport, 14, 1767-1771
(2003).
[108] Osu
R, Burdet E, Franklin DW, Milner TE, Kawato M: Different mechanisms
involved in adaptation to stable and unstable
dynamics. Journal
of Neurophysiology, 90, 3255-3269 (2003).
[107] Franklin
DW, Osu R, Burdet E, Kawato M, Milner TE: Adaptation to stable and
unstable dynamics achieved by combined
impedance control and inverse dynamics model. Journal of
Neurophysiology, 90, 3270-3282 (2003).
[106] Yamagishi
N, Callan DE, Goda N, Anderson SJ, Yoshida Y, Kawato M: Attentional
modulation of oscillatory activity in human visual cortex. NeuroImage, 20, 98-113 (2003).
[105] Nishina S, Okada M,
Kawato M:
Spatio-temporal dynamics of depth propagation on uniform region. Vision Research, 43, 2493-2503 (2003).
[104]
Samejima K, Doya K, Kawato M: Inter-module
credit assignment in modular reinforcement learning. Neural
Networks, 16,
985-994 (2003).
[103] Yamanaka K, Wada Y, Kawato M:
Quantitative exmaninations for human arm tracjectory planning in
three-dimensional space. Systems and
Computers in Japan, 34,
43-54 (2003)
[102] Wada Y, Kawabata Y,
Kotosaka S,
Yamamoto S, Kitazawa S, Kawato M: Acquisition and contextual switching
of multiple internal models for different viscous force fields. Neurroscience Research, 46, 319-331 (2003).
[101] Kawato
M, Kuroda T, Imamizu H, Nakano E, Miyauchi S, Yoshioka T: Internal
forward models in the cerebellum: fMRI study on grip force and load
force
coupling. Progress in Brain
Research,
142, 171-188
(2003).
[100] Franklin
DW, Burdet E, Osu R, Kawato M, Milner TE: Functional
significance of stiffness in adaptation of multijoint arm movements to
stable
and unstable dynamics. Experimental
Brain Research, 151, 145-157
(2003).
[99] Wolpert DM, Doya K,
Kawato M: A unifying computational
framework for motor control and social interaction. Philosophical
Transactions of The Royal Society:
Biological
Sciences, 358,
593-602 (2003).
[98] Imamizu
H, Kuroda T, Miyauchi S, Yoshioka T, Kawato M: Modular
organization of internal models of tools in the human cerebellum. Proc Natl Acad Sci USA.,
100, 5461-5466 (2003).
[97]
Yamamoto K, Kobayashi Y, Takemura A, Kawano K, Kawato M:
Cerebellar
plasticity and the ocular following response. Annals of the New
York
Academy of Sciences, 978,
439-454 (2002)
[96] Osu
R, Franklin DW, Kato H, Gomi H, Domen K, Yoshioka T, Kawato M: Short- and
long-term changes in joint co-contraction associated with motor
learning as
revealed from surface EMG. Journal
of Neurophysiology, 88, 991-1004
(2002)
[95] Servos P, Osu R, Santi A,
Kawato M: The neural
substrates of biological motion perception: an fMRI study. Cerebral Cortex,
12,
772-782 (2002)
[94] Doya K, Samejima K,
Katagiri K, Kawato M: Multiple model-based reinforcement learning. Neural
Computation, 14, 1347-1369 (2002)
[93]
Tabata H, Yamamoto K, Kawato M: Computational
study on monkey VOR adaptation and smooth pursuit based on the parallel
control-pathway theory. Journal
of Neurophysiology, 87, 2176-2189
(2002).
(c) The American Physiological Society.
[92] Yamamoto K, Kobayashi Y,
Takemura A, Kawano K, Kawato M: Computational
studies on acquisition and adaptation of ocular following responses
based on
cerebellar synaptic plasticity. Journal of
Neurophysiology, 87, 1554-1571
(2002). (c) The American Physiological Society.
[91] Yoshida N, Domen K, Koike
Y, Kawato M: A method
for estimating torque-vector directions of shoulder muscles using
surface EMGs. Biological
Cybernetics, 86
167-177 (2002). (c) Springer-Verlag 2002.
[90] Nakano E, Flanagan J, Imamizu
H, Osu R,
Yoshioka T, Kawato M: Composition and
decomposition learning of
reaching movements under altered environments: An examination of the
multiplicity of internal models. Systems
and Computers in Japan, 33,
80-94 (2002)
[89] Burdet E, Osu R, Franklin
D, Milner T, Kawato M: The central nervous
system stabilizes unstable dynamics by learning optimal impedance. Nature, 414
446-449 (2001).
(c) Macmillan Magazines Ltd.
[88]Takemura A, Inoue Y, Gomi
H, Kawato M, Kawano K: Change in
neuronal firing patterns in the process of motor command generation for
the
ocular following response. Journal
of Neurophysiology, 86 1750-1763
(2001).
(c) The American Physiological Society.
[87] Haruno M, Wolpert DM,
Kawato M: MOSAIC model for sensorimotor learning and control. Neural
Computation, 13 2201-2220
(2001).
[86] Doya K, Kimura H, Kawato
M: Neural mechanisms of learning and control. IEEE Control Systems
Magazine, 21 42-54 (2001).
[85] Kuroda S, Schweighofer N,
Kawato M: Exploration
of signal transduction pathways in cerebellar long-term depression by
kinetic
simulation. Journal
of Neuroscience, 21, 5693-5702
(2001). (c)
2001 Society for Neuroscience.
[84] Wada Y, Kaneko Y, Nakano E,
Osu R, Kawato M: Quantitative
examinations for multi joint arm trajectory planning -- using a robust
calculation algorithm of the minimum commanded torque change trajectory
--. Neural Networks, 14, 381-393
(2001). (c) Elsevier.
[83] Kuroda S, Yamamoto K,
Miyamoto H, Doya K, Kawato M: Statistical
characteristics of climbing fiber spikes necessary for efficient
cerebellar
learning. Biological
Cybernetics, 84, 183-192 (2001).
(c)
Springer-Verlag. The original publication is available on LINK http://link.springer.de.
[82] Yamamoto K, Kobayashi Y,
Takemura A, Kawano K, Kawato M: A
mathematical analysis of the characteristics of the system connecting
the
cerebellar ventral paraflocculus and extraoculomotor nucleus of alert
monkeys
during upward ocular following responses. Neuroscience Research,
38,
425-435 (2000). (c) Elsevier.
[81] Omata T, Kitama T,
Mizukosh A, Ueno T, Kawato M, Sato Y: Purkinje cell activity in the
middle zone
of the cerebellar flocculus during optokinetic and vestibular eye
movement in
cats. The Japanese Journal of Physiology, 50, 357-370 (2000).
[80] Burdet E, Osu R, Franklin
D, Milner TE, Kawato M: A method for
measuring endpoint stiffness during multi-joint arm movements. Journal of
Biomechanics, 33, 1705-1709
(2000). (c) Elsevier Science Ltd.
[79] Atkeson CG, Hale J,
Pollick F, Riley M, Kotosaka S, Schaal S, Shibata T, Tevatia G,
Vijayakumar S,
Ude A, Kawato M: Using
humanoid robots to study human behavior. IEEE Intelligent
Systems: Special Issue on Humanoid
Robotics,
15, 46-56 (2000). (c) IEEE.
[78] Mizukoshi A, Kitama T,
Omata T, Ueno T, Kawato M, Sato U: Motor dynamics
encoding in the rostral zone of the cat cerebellar flocculus during
vertical
optokinetic eye movements. Experimental
Brain Research, 132, 260-268
(2000). (c)
Springer-Verlag. The original publication is available on LINK http://link.springer.de.
[77] Imamizu H, Miyauchi S,
Tamada T, Sasaki Y, Takino R, Puetz B, Yoshioka T, Kawato M: Human
cerebellar activity reflecting an acquired internal model of a new tool. Nature, 403,
192-195
(2000). (c) Macmillan Magazines Ltd.
[76] Kawato M: Internal
models for motor control and trajectory planning. Current Opinion in
Neurobiology, 9, 718-727 (1999).
(c) Elsevier Science Ltd.
[75] Watanabe H, Pollick F,
Koenderink JJ, Kawato M: Using motor tasks to quantitatively judge 3-D
surface
curvatures. Perception & Psychophysics, 61, 1116-1139 (1999).
[74] Flanagan RJ, Nakano E,
Imamizu H, Osu R, Yoshioka T, Kawato M: Composition
and decomposition of internal models in motor learning under altered
kinematic
and dynamic environments. Journal
of Neuroscience, 19, RC34 1-5
(1999). (c)
Society for Neuroscience.
[73] Schweighofer N, Doya K,
Kawato M: Electrophysiological
propersties of infereor olive neurons: A compartmental model. Journal
of Neurophysiology, 82, 804-817
(1999). (c)
The American Physiological Society.
[72] Nakano E, Imamizu H, Osu
R, Uno Y, Gomi H, Yoshioka T, Kawato M: Quantitative
examinations of internal representations for arm trajectory planning:
Minimum
commanded torque change model. Journal of Neurophysiology, 81, 2140-2155 (1999). (c) The American Physiological
Society.
[71] Tamada T, Miyauchi S,
Imamizu H, Yoshioka T, Kawato M: Cerebro-cerebellar
functional connectivity revealed by the laterality index in tool-use
learning. NeuroReport, 10, 325-331
(1999). (c) Lippincott Williams and Wilkins.
[70] Wolpert D, Kawato M: Multiple paired
forward and inverse models for motor control. Neural Networks,
11,
1317-1329 (1998). (c) Elsevier Science Ltd.
[69] Miyamoto H, Kawato M: A tennis
serve and upswing learning robot based on bi-directional theory. Neural Networks,
11,
1331-1344 (1998). (c) Elsevier Science Ltd.
[68] Wolpert D, Miall C,
Kawato M: Internal
models in the cerebellum. Trends
in Cognitive Sciences, 2,
338-347
(1998).
(c) Elsevier Science Ltd.
[67] Gomi H, Shidara M.
Takemura A, Inoue Y, Kawano K, Kawato M: Temporal firing patterns of
Purkinje cells in the cerebellar ventral
paraflocculus during ocular following responses in Monkeys. I.simple
spikes. Journal of
Neurophysiology, 80, 818-831
(1998). (c) The American Physiological Society.
[66] Kobayashi Y, Kawano K,
Takemura A, Inoue Y, Kitama T, Gomi H, Kawato M: Temporal firing patterns of
Purkinje cells in the cerebellar ventral
paraflocculus during ocular following responses in Monkeys. II.complex
spikes. Journal of
Neurophysiology, 80, 832-848
(1998). (c) The American Physiological Society.
[65] Imamizu H, Uno Y, Kawato
M: Adaptive internal model of intrinsic
kinematics involved in learning
an aiming task. Journal
of Experimental Psychology: Human Perception and Performance, 24, 812-829 (1998). (c) The American Psychological
Association. Inc.
[64] Schweighofer N,
Arbib MA,
Kawato M: Role of the cerebellum in reaching movements in humans. I.
Distributed inverse dynamics control. European Journal of
Neuroscience,
10, 86-94 (1998).
[63] Schweighofer N,
Spoelstra
J, Arbib MA, Kawato M: Role of the cerebellum in reaching movements in
humans.
II. A neural model of the intermediate cerebellum. European
Journal of
Neuroscience, 10, 95-105 (1998).
[62] Yamamoto K,
Kobayashi Y,
Takemura A, Kawano K, Kawato M: A mathematical model that reproduces
vertical
ocular following responses from visual stimuli by reproducing the
simple spike
firing frequency of Purkinje cells in the cerebellum. Neuroscience
Research,
29, 161-169 (1997).
[61] Koenderink JJ,
Kappers A,
Pollick F, Kawato M: Correspondence in pictorial space. Perception
&
Psychophysics, 59, 813-827
(1997).
[60] Osu R, Uno Y,
Koike Y,
Kawato M: Possible explanations for trajectory curvature in multijoint
arm
movements. Journal of Experimental Psychology: Human Perception
and
Performance, 23, 890-913 (1997).
[59] Gomi H, Kawato M:
Human arm
stiffness and equilibrium-point trajectory during multi-joint movement.
Biological
Cybernetics, 76, 163-171 (1997).
[58] Kawano K, Shidara
M,
Takemura A, Inoue Y, Gomi H, Kawato M: Inverse-dynamics representation
of eye
movements by cerebellar Purkinje cell activity during short-latency
ocular-following responses. New York Academy of Sciences, 781, 314-321 (1996).
[57] Kawato M: The
common
inverse-dynamics motor-command coordinates for complex and simple
spikes. Behavioral
and Brain Sciences, 19, 462-464
(1996).
[56] Miyamoto H,
Schaal S,
Gandolfo F, Gomi H, Koike Y, Osu R, Nakano E, Wada Y, Kawato M: A
Kendama
learning robot based on dynamic optimization theory. Neural
Networks, 9, 1281-1302 (1996).
[55] Gomi H, Kawato M:
Equilibrium-point control hypothesis examined by measured arm-stiffness
during
multijoint movement. Science, 272,
117-120 (1996).
[54] Dornay M, Uno Y,
Kawato M,
Suzuki R: Minimum muscle-tension change trajectories predicted by using
a
17-muscle model of the monkey's arm. Journal of Motor Behavior,
28, 83-100 (1996).
[53] Pollick FE,
Watanabe H,
Kawato M: Perception of local orientation from shaded images. Perception
and Psychophysics, 58, 762-780
(1996).
[52] Wada Y, Kawato M:
A theory
for cursive handwriting based on the minimization principle. Biological
Cybernetics, 73, 3-13 (1995).
[51] Wada Y, Koike Y,
EV
Bateson, Kawato M: A computational theory for movement pattern
recognition
based on optimal movement pattern generation. Biological
Cybernetics, 73, 15-25 (1995).
[50] Koike Y, Kawato
M:
Estimation of dynamic joint torques and trajectory formation from
surface
electromyography signals using a neural network model. Biological
Cybernetics, 73, 291-300 (1995).
[49] Imamizu H, Uno Y,
Kawato M:
Internal representations of motor apparatus: Implications from
generalization
in visuomotor learning. Journal of Experimental Psychology: Human
Perception and Performance, 21,
1174-1198
(1995).
[48] Uno Y, Fukumura
N, Suzuki
R, Kawato M: A computational model for recognizing objects and planning
hand
shapes in grasping movements. Neural Networks, 8, 839-851 (1995).
[47] Hayakawa H, Wada
Y, Kawato
M: Solution of nonlinear vision problem based on forward and
approximated
inverse optics models. Electronics and Communications in Japan,
78, 22-33 (1995).
[46] Koike Y, Kawato
M:
Estimation of arm posture in 3D-space from surface EMG signals using a
neural
network model. IEICE Transactions on Information and Systems,
E77-D, 368-375 (1994).
[45] Pollick FE,
Nishida S,
Koike Y, Kawato M: Perceived motion in structure from motion. Pointing
responses to the axis of rotation. Perception and Psychophysics,
56, 91-109. (1994).
[44] Hayakawa H,
Nishida S, Wada
Y, Kawato M: A computational model for shape estimation by integration
of
shading and edge information. Neural Networks, 7, 1193-1209 (1994).
[43] Wada Y, Kawato M:
Arm
movement trajectory formation by a neural network incorporating models
of
forward and inverse dynamics. Systems and Computers in Japan,
24, 64-77 (1993).
[42] Kawato M, Gomi H:
Computational models of cerebellar motor learning. Trends in
Neurosciences,
16, 177-178 (1993).
[41] Gomi H, Kawato M:
Recognition
of manipulated objects by motor learning with modular
architecture
networks. Neural Networks, 6,
485-497
(1993).
[40] Kawato M:
Computational
studies of coordinated arm movements. Biomedical Research, 14, 55-57 (1993).
[39] Shidara M, Kawano
K, Gomi
H, Kawato M: Inverse-dynamics
model eye movement control by Purkinje
cells in
the cerebellum. Nature, 365,
50-52
(1993).
[38] Wada Y, Kawato M:
A neural
network model for arm trajectory formation using forward and inverse
dynamics
models. Neural Networks, 6,
919-932
(1993).
[37] Gomi H, Kawato M:
Neural
network control for a closed-loop system using feedback-error-learning.
Neural
Networks, 6, 933-946 (1993).
[36] Hirayama M,
Kawato M,
Jordan MI: The cascade neural network model and a speed-accuracy
trade-off of
arm movement. Journal of Motor Behavior, 25, 162-174 (1993).
[35] Katayama M,
Kawato M:
Virtual trajectory and stiffness ellipse during multijoint arm movement
predicted by neural inverse models. Biological Cybernetics, 69, 353-362 (1993).
[34] Kawato M,
Hayakawa H, Inui
T: A forward-inverse optics model of reciprocal connections between
visual
cortical areas. Network:Computation in Neural systems, 4, 415-422 (1993).
[33] Hirayama M,
Bateson EV,
Kawato M: Physiologically-based speech synthesis using neural networks.
IEICE
Transactions on Information and Systems, E76-A, 1898-1910 (1993).
[32] Hongo S, Kawato
M, Inui T,
Miyake S: Contour extraction by local parallel and stochastic algorithm
which
has energy learning faculty. Systems and Computers in Japan, 23, 26-35 (1992).
[31] Wada Y, Kawato M:
A new
information criterion combined with cross-validation method to estimate
generalization capability. Systems and Computers in Japan, 23, 92-104 (1992).
[30] Kawato M, Gomi H:
The
cerebellum and VOR/OKR learning models. Trends in Neurosciences,
15, 445-453 (1992).
[29] Kawato M, Gomi H:
A
computational model of four regions of the cerebellum based on
feedback-error-learning. Biological Cybernetics, 68, 95-103 (1992).
[28] Gomi H, Kawato M:
Adaptive
feedback control models of the vestibulocerebellum and spinocerebellum.
Biological
Cybernetics, 68, 105-114 (1992).
[27] Katayama M,
Kawato M: A
parallel-hierarchical neural network model for motor control of
musculo-skeletal
system. Systems and Computers in Japan, 22, 95-105 (1991).
[26] Irie B, Kawato M:
Acquisition of internal representation by multilayered perceptrons. Electronics
and Communications in Japan, 74,
112-118
(1991).
[25] Kawato M, Maeda
Y, Uno Y, Suzuki
R: Trajectory formation of arm movement by cascade neural network model
based
on minimum torque-change criterion. Biological Cybernetics, 62, 275-288 (1990).
[24] Kawato M:
Adaptation and
learning in control of voluntary movement by the central nervous
system. Advanced
Robotics 3, 229-249 (1989).
[23] Uno Y, Kawato M,
Suzuki R:
Formation and control of optimal trajectory in human multijoint arm
movement -
minimum torque-change model-. Biological Cybernetics, 61, 89-101 (1989).
[22] Kawato M, Uno Y,
Isobe M,
Suzuki R: Hierarchical neural network model for voluntary movement with
application to robotics. IEEE Control Systems Magazine, 8, 8-16 (1988).
[21] Miyamoto H,
Kawato M,
Setoyama T, Suzuki R: Feedback-error-learning neural network for
trajectory control
of a robotic manipulator. Neural Networks, 1, 251-265 (1988).
[20] Kawato M, Isobe
M, Maeda Y,
Suzuki R: Coordinates transformation and learning control for
visually-guided
voluntary movement with iteration: a Newton-like method in a function
space. Biological
Cybernetics, 59, 161-177 (1988).
[19] Urushibara S,
Kawato M,
Nakazawa K, Suzuki R: Simulation analysis of conduction of excitation
in the
atrioventricular node. Journal of Theoretical Biology, 126, 275-288 (1987).
[18] Kawato M,
Furukawa K, Suzuki
R: A
hierarchical neural-network model for control and learning of
voluntary
movement. Biological Cybernetics, 57,
169-185 (1987).
[17] Murakami F, Etoh
M, Kawato
M, Oda Y, Tsukahara N: Synaptic currents at interpositorubral and
corticorubral
excitatory synapses measured by a new iterative single electrode
voltage-clamp
method. Neuroscience Research, 3,
590-605 (1986).
[16] Kawato M,
Yamanaka A,
Urushibara S, Nagata O, Irisawa H, Suzuki R: Simulation analysis of
excitation
conduction in the heart: Propagation of excitation in different
tissues. Journal
of Theoretical Biology, 120,
389-409 (1986).
[15] Yamanaka A,
Okazaki K,
Urushibara S, Kawato M, Suzuki R: Reconstruction of electrocardiogram
using
ionic current models for heart muscles. Japanese Heart Journal,
27, 185-193 (1986).
[14] Kawato M, Etoh M,
Oda Y,
Tsukahara N: A new algorithm for voltage clamp by iteration: A learning
control
of a nonlinear neuronal system. Biological Cybernetics, 53, 57-66 (1985).
[13] Kawato M,
Tsukahara N:
Electrical properties of dendritic spines with bulbous end terminals. Biophysical
Journal, 46, 155-166 (1984).
[12] Kawato M,
Hamaguchi T,
Murakami F, Tsukahara N: Quantitative analysis of electrical properties
of
dendritic spines. Biological Cybernetics, 50, 447-454 (1984).
[11] Kawato M: Cable
properties
of a neuron model with non-uniform membrane resistivity. Journal
of
Theoretical Biology, 111,
149-169
(1984).
[10] Kawato M,
Tsukahara N:
Theoretical study on electrical properties of dendritic spines. Journal
of
Theoretical Biology, 103,
507-522
(1983).
[9] Kawato M, Fujita
K, Suzuki
R, Winfree AT: A three-oscillator model of the human circadian system
controlling the core temperature rhythm and the sleep-wake cycle. Journal
of Theoretical Biology, 98,
369-392 (1982).
[8] Kawato M:
Transient and
steady state phase response curves of limit cycle oscillators. Journal
of
Mathematical Biology, 12, 13-30
(1981).
[7] Kawato M, Suzuki
R: Analysis
of entrainment of circadian oscillators by skeleton photoperiods using
phase
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