Kenji Doya

Professor

Okinawa Institute of Science and Technology Graduate University

Japan

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About

Kenji Doya is a Professor at the Okinawa Institute of Science and Technology Graduate University in Japan. His research interests focus on data-driven methodologies in neuroscience, reinforcement learning, and machine learning applications. Recent contributions include analysis of team dynamics in sports, advancements in optical neuroimaging, and studies on the neural representation of decision strategies. His work aims to bridge theoretical and practical applications in understanding complex brain functions and behaviors.

Articles (13)

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2025

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2025

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2025

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2024

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2023

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2022

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2020

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2020

Collaborators (9)

Kenji Tanaka

Keio University School of Medicine

JAPAN

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Bruno Delord

Full Professor

Sorbonne Université Campus Pierre et Marie Curie

FRANCE

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Norio Takata

Keio University School of Medicine

JAPAN

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Tom Johnstone

Professor

Swinburne University of Technology

AUSTRALIA

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Saori Tanaka

JAPAN

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Nobuhiro Nohara

Assistant Professor

University of Tokyo Hospital

JAPAN

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Tomomi Noda

Kyoto University

JAPAN

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Jun Tani

Okinawa Institute of Science and Technology Graduate University

JAPAN

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Benoît Girard

Sorbonne Université

FRANCE

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Kenji Doya

Research Interests

Explore related searches

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About

Articles (13)

Possible contribution to data-driven primate research: Comment on “Kinematic coding: Measuring information in naturalistic behaviour” by Becchio, Pullar, Scaliti, and Panzeri

Optical Neuroimage Studio (OptiNiSt): Intuitive, scalable, extendable framework for optical neuroimage data analysis

Information-Theoretical Analysis of Team Dynamics in Football Matches

The status of MRI databases across the world focused on psychiatric and neurological disorders

Synergizing habits and goals with variational Bayes

Optogenetic activation of dorsal raphe serotonin neurons induces brain-wide activation

Estimating Exoplanet Mass using Machine Learning on Incomplete Datasets

Enhancing reinforcement learning models by including direct and indirect pathways improves performance on striatal dependent tasks

Neuronal Representation of a Working Memory-Based Decision Strategy in the Motor and Prefrontal Cortico-Basal Ganglia Loops

Neuronal Population Activity in Macaque Visual Cortices Dynamically Changes through Repeated Fixations in Active Free Viewing

Social impact and governance of AI and neurotechnologies

A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection

Serotonergic projections to the orbitofrontal and medial prefrontal cortices differentially modulate waiting for future rewards

Collaborators (9)

Kenji Tanaka

Bruno Delord

Norio Takata

Tom Johnstone

Saori Tanaka

Nobuhiro Nohara

Tomomi Noda

Jun Tani

Benoît Girard

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