Organization

Research Subject Group

A01 Perception and prediction

  • Improvement of Predictability by Integrating Deep Learning with Symbol  Processing

    Yutaka Matsuo

    University of Tokyo

  • Elucidation of the Mathematical Basis and Neural Mechanisms of Multi-layer Representation Learning

    Kenji Doya

    Okinawa Institute of Science and Technology

  • Neural bases of congruency-sequence effects on conflict costs

    Keiji Tanaka

    RIKEN Brain Science Institute

A02 Motor control and behaviors

  • Internal model construction by observing others and policy acquisition through self-learning

    Jun Morimoto

    ATR Brain Information Communication Research Laboratory Group

  • Computational mechanisms of implicit sensorimotor control

    Hiroaki Gomi

    NTT Communication Science Labs.

  • Roles of the dopamine system in reward and attentional processing

    Masayuki Matsumoto

    University of Tsukuba

  • Neuronal circuit mechanisms of reward/goal-directed behavior

    Takatoshi Hikida

    Osaka University

A03 Cognition and sociality

  • Understanding Neural Computation for Double Articulation Analysis Bridging Sensory-motor Information and Natural Language in Human Brain

    Tadahiro Taniguchi

    Ritsumeikan University

  • Neurocomputational primitives for decision-making with use of models of others

    Hiroyuki Nakahara

    RIKEN

  • Neural mechanisms of data abstraction and deductive inference in the prefrontal cortex

    Masamichi Sakagami

    Tamagawa University

  • Understanding of neural basis of thought disorder in psychiatric disorders and development of assistance for them.

    Hidehiko Takahashi

    Tokyo Medical and Dental University

FY2019-2020 Publicly Offered Research Group

A01 Perception and prediction

  • Learning perceptual representations in biological and artificial neural networks

    Andrea Benucci

    RIKEN Center for Brain Science
    Team Leader

  • Creation of novel paradigms to integrate neural network learning with dendrites

    Tomoki Fukai

    Okinawa Institute of Science and Technology
    Professor

  • Neural Representation of Internal Model Based Decision Making

    Kosuke Hamaguch

    Kyoto University Graduate School of Medicine, Department of Biological Sciences
    Senior Lecturer

  • One shot learning based on computational theory of higher visual cortex

    Haruo Hosoya

    ATR
    Senior Researcher

  • Studying a Brain Model based on Self-Simulation and Homeostasis

    Takashi Ikegami

    The University of Tokyo, Graduate School of Arts and Sciences, Department of General Systems Studies
    Professor

  • Predictive coding on auditory processing: spatio-temporal structure of signal flow in whole-cortical electrocorticograms

    Misako Komatsu

    RIKEN Center for Brain Science
    Research Scientist

  • Analyses of off-line learning algorithm during sleep by using super large-scale electrophysiology

    Hiroyuki Miyawaki

    Osaka City University, Graduate School of Medicine
    Assistant Professor

  • Nonlinear dynamical representation learning and its application to analysis and prediction of the brain

    Hiroshi Morioka

    RIKEN Center for Advanced Intelligence Project
    Postdoctoral Researcher

  • Elucidation of neural mechanism underlying model-based decision making using optogenetic manipulation and imaging of the central serotonergic system

    Yu Ohmura

    Hokkaido University
    Lecturer

  • Decision making based on multi-dimensional state- and action-space, and the neural coding in the basal ganglia

    Kazuyuki Samejima

    Tamagawa University, Brain science institute
    Professor

  • Feature representation mapping between deep neural network and psychophysical texture properties

    Hayaru Shouno

    University of Electro-Communications
    Professor

A02 Motor control and behaviors

  • Study of the mechanisms of the nervous system through neural network models

    Yuichi Iino

    The University of Tokyo, Graduate School of Science, Department of Biological Sciences
    Professor

  • Architectonic organization of prefrontal cortex-related neural networks involved in action selection

    Ken-ichi Inoue

    Kyoto University, Primate Research Institute
    Assistant professor

  • Meta-learning mechanism based on sensory- and reward- prediction errors: a computational approach to understanding the neural mechanism

    Jun Izawa

    University of Tsukuba
    Associate Professor

  • Visualization of striatal cell type-specific neuronal activity during stimulus discrimination operant learning

    Kazuto Kobayashi

    Fukushima Medical University, Dept. Molecular Genetics
    Professor

  • Pathway-specific roles of midbrain dopamine neurons in value-based decision-making

    Hideyuki Matsumoto

    Osaka City University
    Assistant Professor

  • Deep Parallel Reinforcement Learning with Model-Free and Model-Based Methods

    Eiji Uchibe

    ATR Computational Neuroscience Laboratories
    Principal Researcher

A03 Cognition and sociality

  • Computational Modeling of Dynamical Social Interaction in Non-Human Primate

    Koki Mimura

    QST NIRS, Department of Functional Brain Imaging
    Researcher

  • Construction and evaluation of neurocomputational models of natural language

    Yohei Oseki

    Waseda University
    Assistant Professor

  • Extraction of versatile features from resting state fMRI using deep neural networks

    Yuichi Yamashita

    National Center of Neurology and Psychiatry
    Section chief

FY2017-2018 Publicly Offered Research Group

A01 Perception and prediction

  • Using recurrent neural networks to study neural computations in cortical networks

    Andrea Benucci

    RIKEN Brain Science Institute
    Team Leader (Assistant Professor)

  • Mutual reference approach bewteen artificail inteligence and neural correlates for investigation of value
    emergence

    Junichi Chikazoe

    National Institute for Physiological Sciences
    Associate professor

  • Novel architecture and learning rules inspired by cortical microcircuits

    Tomoki Fukai

    RIKEN BSI
    Senior Team Leader

  • Imaging learning rule from neural and molecular activity

    Kosuke Hamaguchi

    Kyoto University
    Senior Lecturer

  • Deep stacked independent component analysis and its application to brain science

    Junichiro Hirayama

    RIKEN Center for Advanced Intelligence Project
    Researcher

  • A study of Space/Sound Perception by using a Generative Deep Learning approach

    Takashi Ikegami

    University of Tokyo
    Professor

  • Predictive coding on auditory processing: spatio-temporal structure of signal flow in whole-cortical electrocorticograms

    Misako Komatsu

    RIKEN BSI
    Researcher

  • Inferring networks from neuronal signals and predicting emergent activity patterns

    Shigeru Shinomoto

    Kyoto University
    Associate Professor

  • Decoding of complex neural representations in prefrontal cortex

    Takanori Uka

    University of Yamanashi
    Professor

  • Development of novel artificial intelligence using ECoG big data

    Takufumi Yanagisawa

    Osaka University
    Endowed Division Lecturer

  • Multi-functional CNN by Piling up Single Functions for Emergence of New Functions

    Keiji Yanai

    The University of Electro-Communications
    Professor

A02 Motor control and behaviors

  • Organization of Cortico-Basal Ganglia and Cortico-Cerebellar Loop Circuits that Arise from the Prefrontal Cortex

    Kenichi Inoue

    Kyoto University
    Assistant Professor

  • Computational understanding of the neural basis of reward-based and sensory-based motor learning

    Jun Izawa

    University of Tsukuba
    Associate Professor

  • Parallel deep reinforcement learning

    Eiji Uchibe

    ATR
    Principal Researcher

A03 Cognition and sociality

  • Dialogue between the predictive coding and brain mechanism for active inference

    Yutaka Komura

    Kyoto University
    Professor

  • Social context segmentation analysis in a primate model of Autism Spectrum Disorder

    Koki Mimura

    QST NIRS
    Researcher

  • Computational and neural mechanisms underlying structure learning

    Shinsuke Suzuki

    Tohoku University
    Assistant Professor

  • Development of computational assay for psychiatric disorders using deep learning

    Yuichi Yamashita

    National Center of Neurology and Psychiatry
    Senior Team Leader

Management Group Organization

Project Leader

  • Head office

    Kenji Doya

    Machine learning・Computational neuroscienc

Organizing committee

  • Co-researcher

    Masamichi Sakagami

    Brain science

    Chair of Organizing committee

  • Collaborator

    Hiroaki Gomi

    Computational neuroscience

  • Collaborator

    Takatoshi Hikida

    Neuroscience・Psychiatry

Training promotion committee

  • Co-researcher

    Hiroyuki Nakahara

    Mathematical Neuroscience

    Chair of Training promotion committee

  • Collaborator

    Keiji Tanaka

     

  • Collaborator

    Jun Morimoto

    Machine learning ・ Robotics

  • Collaborator

    Masayuki Matsumoto

    Neuroscience

Public relations comittee

  • Co-researcher

    Tadahiro Taniguchi

    Artificial Intelligence ・ Robotics

    Chair of Public relations committee

  • Collaborator

    Yutaka Matsuo

    Artificial Intelligence

  • Collaborator

    Hidehiko Takahashi

    Psychiatry

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