研究成果
カテゴリ
発表年

国際雑誌論文

  1. 1. Macpherson T, Churchland A, Sejnowski A, DiCarlo J, Kamitani Y, Takahashi H, *Hikida T, Natural and Artificial Intelligence: a brief introduction to the interplay between AI and neuroscience research., Neural Networks, 2021, 144, 603-613, reviewed#& BibTeX
  2. 2. Macpherson T, Matsumoto M, Gomi H, Morimoto J, Uchibe E, *Hikida T, Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control., Neural Networks, 2021, 144, 507-521, reviewed#& BibTeX
  3. 3. *Uchibe E, Doya K, Forward and inverse reinforcement learning sharing network weights and hyperparameters, Neural Networks, 2021, 144, 138-153, reviewed BibTeX
  4. 4. *Doya K, Canonical cortical circuits and the duality of Bayesian Inference and optimal control, Current Opinion in Behavioral Sciences, 2021, 41, 160-167, reviewed, Open access BibTeX
  5. 5. Labuguen RT, *Matsumoto J, Negrete SB, Nishimaru H, Nishijo H, Takada M, Go Y, Inoue K, *Shibata T, MacaquePose: a novel ‘in the wild’ macaque monkey pose dataset for markerless motion capture., Front Behav Neurosci, 2021, 14, 581154, reviewed BibTeX
  6. 6. *Lu X, Inoue K, Ohmae S, Uchida Y, New Cerebello-Cortical Pathway Involved in Higher-Order Oculomotor Control., Cerebellum, 2020, 19, 401-408, reviewed BibTeX
  7. 7. *Ninomiya T, Inoue K, Hoshi E, Takada M, Layer specificity of inputs from supplementary motor area and dorsal premotor cortex to primary motor cortex in macaque monkeys., Sci Rep, 2019, 9, 18230, reviewed BibTeX
  8. 8. *Elfwing S, Uchibe E, Doya K, Sigmoid-weighted linear units for neural network function approximation in reinforcement learning, Neural Networks, 2018, 107, 3-11, reviewed BibTeX

国内雑誌論文

  1. 1. *Handa T, Harukuni R, *Fukai T, Concomitant processing of choice and outcome in frontal corticostriatal ensembles correlates with performance of rats., Cerebral Cortex, 2021, bhab091, reviewed BibTeX
  2. 2. *Kurikawa T, Mizuseki K, Fukai T, Oscillation-Driven Memory Encoding, Maintenance, and Recall in an Entorhinal-Hippocampal Circuit Model., Cerebral Cortex, 2020, 31, bhaa343, reviewed BibTeX

国際会議 講演・発表

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国内会議講演・口頭発表

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書 籍

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受賞

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報道発表

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その他

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