International Journal Paper

  1. 1. *Uchibe E, Doya K, Forward and inverse reinforcement learning sharing network weights and hyperparameters, Neural Networks, 2021, 144, 138-153, reviewed BibTeX
  2. 2. *Doya K, Canonical cortical circuits and the duality of Bayesian Inference and optimal control, Current Opinion in Behavioral Sciences, 2021, 41, (in press), reviewed, Open access BibTeX
  3. 3. 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
  4. 4. *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
  5. 5. *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
  6. 6. *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

Domestic Journal Paper

  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

International Conference

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Domestic Conference

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Press Release

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