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TOPICS

  • 2023.8.3 [Media Topics @en] Nature Branded Contents “Focal Point on Brain Science in Japan” has been published
  • 2018.5.23 [All activities @en] Our article, published in Psychiatry and Clinical Neurosciences, was one of the journal’s top 20 most downloaded recent papers!
  • 2017.7.14 [Event @en others Topics @en] Deadline for rtFIN207 abstract submission extended July 29th!
  • 2017.4.18 [All activities @en Event @en Media Topics @en] Call for Abstracts: real-time functional imaging and neurofeedback conference (rtFIN2017)
  • 2016.12.16 [Media Topics @en] Press Release: Multivoxel neurofeedback selectively modulates confidence without changing perceptual performance, in Nature Communications.
  • 2016.11.26 [Media Topics @en] Article in IEEE SPECTRUM
  • 2016.11.22 [Media Topics @en] Press Release: Fear reduction without fear: Reinforcement of neural activity bypasses conscious exposure, in Nature Human Behaviour.
  • 2016.10.27 [Media Topics @en] Press Release: Induced sensorimotor brain plasticity controls pain in phantom limb patients, in Nature Communications.
  • 2016.9.9 [Media Topics @en] Press Release: Differential activation patterns in the same brain region led to opposite emotional states, in PLoS Biology.
  • 2016.7.1 [Media Topics @en] Press Release: Learning to associate orientation with color in early visual areas by associative decoded fMRI neurofeedback, in Current Biology.
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CNS Computational Neuroscience Laboratories

  • Department of Neuroinformatics
    Our goal is to establish novel communication technology that directly connects the brain machines using decoded neural information.
  • Department of Brain Robot Interface
    The goal of our study is to control an exoskeleton and/or a humanoid robot using brain activity.
  • Decoded Neurofeedback
    We developed the decoded neurofeedback (DecNef) method to lead brain activity to a target state.
  • Department of Qualia Structures
    We aim to elucidate the relationship between qualia structure and information structure

CMC Cognitive Mechanisms Laboratories

  • Department of Cognitive Neuroscience
    Our objective is to clarify the cognitive and learning mechanisms using computational theories, psychological experiments and brain activity measurements.
  • Department of Dynamic Brain Imaging
    We develop brain reading and feedback techniques focusing on the dynamic aspect of brain signals using large-scale computing.
  • Department of Neural Computation for Decision-making
    We aim to elucidate the neural mechanisms of decision-making by computational approaches, and apply them to solve social, economic, and medical problems.

NIA Neural Information Analysis Laboratories

  • Department of Computational Brain Imaging
    The goal of our research is to develop analysis tools to clarify human brain functions and communication techniques based on brain activities.
  • Department of AI-Brain Integration
    We aim to induce co-evolution of brain and artificial intelligence (Al), hence leading to development of novel Al technologies that mimic brain functions.

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