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Keisuke Toyama

Showing results (1-10 of 23) with videos related to

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Brain and Nerve = Shinkei Kenkyu No Shinpo|December 3, 2019
[From Cerebellum to Cerebrum]Keisuke Toyama
Neural Networks : the Official Journal of the International Neural Network Society|November 1, 1996
Imaging a Computational Process in the Visual CortexManabu Tanifuji, Keisuke Toyama
Brain Research Bulletin|June 5, 2003
Development of functional thalamocortical synapses studied with current source-density analysis in whole forebrain slices in the ratZoltán Molnár, Tohru Kurotani, Shuji Higashi, et al.
Vision Research|July 20, 2002
Surround suppression in the human visual cortex: an analysis using magnetoencephalographyYoshio Ohtani, Shoichi Okamura, Yoshikazu Yoshida, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 17, 2009
Different pedunculopontine tegmental neurons signal predicted and actual task rewardsKen-ichi Okada, Keisuke Toyama, Yuka Inoue, et al.
Organic & Biomolecular Chemistry|April 30, 2013
Four-component assembly in the crystalline state driven by amidinium-carboxylate salt bridge formation from an aqueous solutionTakahiro Kusukawa, Kazuya Matsumoto, Hajime Nakamura, et al.
Leukemia Research|July 16, 2003
Effects of TNFalpha on the growth and sensitivity to cytosine arabinoside of blast progenitors in acute myelogenous leukemia with special reference to the role of NF-kappaBZhenghong Wu, Lisong Shen, Yuka Inatomi, et al.
Frontiers in Computational Neuroscience|June 9, 2015
Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons from spike trains with complicated dynamicsHuu Hoang, Okito Yamashita, Isao T Tokuda, et al.
Elife|September 15, 2023
Dynamic organization of cerebellar climbing fiber response and synchrony in multiple functional components reduces dimensions for reinforcement learningHuu Hoang, Shinichiro Tsutsumi, Masanori Matsuzaki, et al.
Plos Computational Biology|March 17, 2025
Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learningHuu Hoang, Shinichiro Tsutsumi, Masanori Matsuzaki, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Brain and Nerve = Shinkei Kenkyu No Shinpo|December 3, 2019
[From Cerebellum to Cerebrum]Keisuke Toyama
Neural Networks : the Official Journal of the International Neural Network Society|November 1, 1996
Imaging a Computational Process in the Visual CortexManabu Tanifuji, Keisuke Toyama
Brain Research Bulletin|June 5, 2003
Development of functional thalamocortical synapses studied with current source-density analysis in whole forebrain slices in the ratZoltán Molnár, Tohru Kurotani, Shuji Higashi, et al.
Vision Research|July 20, 2002
Surround suppression in the human visual cortex: an analysis using magnetoencephalographyYoshio Ohtani, Shoichi Okamura, Yoshikazu Yoshida, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 17, 2009
Different pedunculopontine tegmental neurons signal predicted and actual task rewardsKen-ichi Okada, Keisuke Toyama, Yuka Inoue, et al.
Organic & Biomolecular Chemistry|April 30, 2013
Four-component assembly in the crystalline state driven by amidinium-carboxylate salt bridge formation from an aqueous solutionTakahiro Kusukawa, Kazuya Matsumoto, Hajime Nakamura, et al.
Leukemia Research|July 16, 2003
Effects of TNFalpha on the growth and sensitivity to cytosine arabinoside of blast progenitors in acute myelogenous leukemia with special reference to the role of NF-kappaBZhenghong Wu, Lisong Shen, Yuka Inatomi, et al.
Frontiers in Computational Neuroscience|June 9, 2015
Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons from spike trains with complicated dynamicsHuu Hoang, Okito Yamashita, Isao T Tokuda, et al.
Elife|September 15, 2023
Dynamic organization of cerebellar climbing fiber response and synchrony in multiple functional components reduces dimensions for reinforcement learningHuu Hoang, Shinichiro Tsutsumi, Masanori Matsuzaki, et al.
Plos Computational Biology|March 17, 2025
Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learningHuu Hoang, Shinichiro Tsutsumi, Masanori Matsuzaki, et al.
Pageof 3