Kenji Doya

Okinawa Institute of Science and Technology, Onna-son, Okinawa-ken, Japan 
reinforcement learning
"Kenji Doya"
Mean distance: 12.15 (cluster 29)
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Uchibe E, Doya K. (2021) Forward and inverse reinforcement learning sharing network weights and hyperparameters. Neural Networks : the Official Journal of the International Neural Network Society. 144: 138-153
Gutierrez CE, Skibbe H, Nakae K, et al. (2020) Optimization and validation of diffusion MRI-based fiber tracking with neural tracer data as a reference. Scientific Reports. 10: 21285
Miyazaki K, Miyazaki KW, Sivori G, et al. (2020) Serotonergic projections to the orbitofrontal and medial prefrontal cortices differentially modulate waiting for future rewards. Science Advances. 6
Abe Y, Takata N, Sakai Y, et al. (2020) Diffusion functional MRI reveals global brain network functional abnormalities driven by targeted local activity in a neuropsychiatric disease mouse model. Neuroimage. 117318
Girard B, Lienard J, Gutierrez CE, et al. (2020) A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection. The European Journal of Neuroscience
Han D, Doya K, Tani J. (2020) Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 129: 149-162
Doya K, Matsuo Y. (2019) [Artificial Intelligence and Brain Science: the Present and the Future]. Brain and Nerve = Shinkei Kenkyu No Shinpo. 71: 649-655
Doya K. (2019) Neural circuits for reinforcement learning and mental simulation Ibro Reports. 6
Doya K, Taniguchi T. (2019) Toward evolutionary and developmental intelligence Current Opinion in Behavioral Sciences. 29: 91-96
Tokuda T, Yoshimoto J, Shimizu Y, et al. (2018) Identification of depression subtypes and relevant brain regions using a data-driven approach. Scientific Reports. 8: 14082
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