Kazuyuki Samejima

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Medförfattare

Kenji DoyaOkinawa Institute of Science and TechnologyVerifierad e-postadress på oist.jp
Mitsuo KawatoATRVerifierad e-postadress på atr.jp
Masahiko HarunoNICT CINET & Osaka UniversityVerifierad e-postadress på nict.go.jp
Hiroshi ImamizuThe University of Tokyo and ATR Cognitive Mechanisms Labs.Verifierad e-postadress på l.u-tokyo.ac.jp
Keise IzumaSchool of Economics & Management, Kochi University of TechnologyVerifierad e-postadress på kochi-tech.ac.jp
Kou MurayamaUniversity of TübingenVerifierad e-postadress på orion.ocn.ne.jp
Yasuhiro Kato (XIGE)KIMOCHI LAB, INC.Verifierad e-postadress på umin.ac.jp
Norihiro SadatoProfessor of National Institute for Physiological SciencesVerifierad e-postadress på nips.ac.jp
Kazuhiro UedaThe University of TokyoVerifierad e-postadress på g.ecc.u-tokyo.ac.jp
Saori C. TanakaDivision of Information Science, NAIST / ATRVerifierad e-postadress på atr.jp
Yutaka SakaiTamagawa UniversitiyVerifierad e-postadress på tamagawa.ac.jp
Masaaki OgawaProfessor, Shiga University of Medical ScienceVerifierad e-postadress på belle.shiga-med.ac.jp
Shogo SomaKyoto Prefectural University of MedicineVerifierad e-postadress på koto.kpu-m.ac.jp
Atsushi NAMBU生理学研究所、教授Verifierad e-postadress på nips.ac.jp
Yoshikazu IsomuraInstitute of Science Tokyo (former Tokyo Medical and Dental University)Verifierad e-postadress på tmd.ac.jp
Yasuo KawaguchiTamagawa UniversityVerifierad e-postadress på umin.ac.jp
Yoshihiko KunisatoProfessor, Department of Psychology, School of Human Sciences, SENSHU UNIVERSITYVerifierad e-postadress på psy.senshu-u.ac.jp
Shinpei YoshimuraKanazawa UniversityVerifierad e-postadress på staff.kanazawa-u.ac.jp
Keiichi OnodaOtemon Gakuin UniversityVerifierad e-postadress på otemon.ac.jp
Hiroshi YamadaUniversity of TsukubaVerifierad e-postadress på md.tsukuba.ac.jp

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Kazuyuki Samejima

Professor, Brain science institute, Tamagawa University

Verifierad e-postadress på lab.tamagawa.ac.jp

Computational neuroscience decision making reinforcement learning


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Representation of action-specific reward values in the striatum K Samejima, Y Ueda, K Doya, M Kimura Science 310 (5752), 1337-1340, 2005	1155	2005
Multiple model-based reinforcement learning K Doya, K Samejima, K Katagiri, M Kawato Neural computation 14 (6), 1347-1369, 2002	660	2002
A neural correlate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task M Haruno, T Kuroda, K Doya, K Toyama, M Kimura, K Samejima, ... Journal of Neuroscience 24 (7), 1660-1665, 2004	379	2004
Neural correlates of cognitive dissonance and choice-induced preference change K Izuma, M Matsumoto, K Murayama, K Samejima, N Sadato, ... Proceedings of the National Academy of Sciences 107 (51), 22014-22019, 2010	357	2010
Monitoring and updating of action selection for goal-directed behavior through the striatal direct and indirect pathways S Nonomura, K Nishizawa, Y Sakai, Y Kawaguchi, S Kato, ... Neuron 99 (6), 1302-1314. e5, 2018	188	2018
Effects of depression on reward-based decision making and variability of action in probabilistic learning Y Kunisato, Y Okamoto, K Ueda, K Onoda, G Okada, S Yoshimura, ... Journal of behavior therapy and experimental psychiatry 43 (4), 1088-1094, 2012	138	2012
Multiple representations of belief states and action values in corticobasal ganglia loops K Samejima, K Doya Annals of the New York Academy of Sciences 1104 (1), 213-228, 2007	132	2007
Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics SC Tanaka, K Samejima, G Okada, K Ueda, Y Okamoto, S Yamawaki, ... Neural networks 19 (8), 1233-1241, 2006	106	2006
Adaptive internal state space construction method for reinforcement learning of a real-world agent K Samejima, T Omori Neural Networks 12 (7-8), 1143-1155, 1999	97	1999
Efficient reinforcement learning: computational theories, neuroscience and robotics M Kawato, K Samejima Current opinion in neurobiology 17 (2), 205-212, 2007	93	2007
Inter-module credit assignment in modular reinforcement learning K Samejima, K Doya, M Kawato Neural Networks 16 (7), 985-994, 2003	74	2003
Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network VSC Pammi, KP Miyapuram, K Samejima, RS Bapi, K Doya Neuroimage 59 (2), 1180-1189, 2012	52	2012
Symbolization and imitation learning of motion sequence using competitive modules K Samejima, KI Katagiri, K Doya, M Kawato Electronics and Communications in Japan (Part III: Fundamental Electronic …, 2006	41	2006
Characteristics of fast-spiking neurons in the striatum of behaving monkeys H Yamada, H Inokawa, Y Hori, X Pan, R Matsuzaki, K Nakamura, ... Neuroscience research 105, 2-18, 2016	34	2016
Photosensitive-polyimide based method for fabricating various neural electrode architectures YX Kato, S Furukawa, K Samejima, N Hironaka, M Kashino Frontiers in Neuroengineering 5, 11, 2012	34	2012
Estimating internal variables and paramters of a learning agent by a particle filter K Samejima, K Doya, Y Ueda, M Kimura Advances in neural information processing systems 16, 2003	29	2003
Improvement of neuronal cell adhesiveness on parylene with oxygen plasma treatment T Hoshino, I Saito, R Kometani, K Samejima, S Matsui, T Suzuki, ... Journal of bioscience and bioengineering 113 (3), 395-398, 2012	27	2012
Development of a BCI master switch based on single-trial detection of contingent negative variation related potentials YX Kato, T Yonemura, K Samejima, T Maeda, H Ando 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011	24	2011
Reinforcement learning and goal estimation by multiple forward and reward models N Sugimoto Trans IEICE 87, 683, 2004	22	2004
The effect of an analytical appreciation of colas on consumer beverage choice A Yamada, H Fukuda, K Samejima, S Kiyokawa, K Ueda, S Noba, ... Food Quality and Preference 34, 1-4, 2014	19	2014

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