Organization

Research Subject

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

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

ページトップへ