Research Group 3

Development and application of technologies such as neuro-feedback through collaboration with artificial intelligence (AI) research projects

3-1

Development research on therapies such as neuro-feedback using AI technologies

Study of Diagnostic and Therapeutic Technology based on Neuroscience and AI

川人 光男

Mitsuo KAWATO

Ph.D., Director, ATR Brain Information Communication Research Laboratory Group

We will apply computational neurosciences and AI techniques to the diagnosis and treatment of neuropsychiatric disorders such as developmental disorders, mood disorders, schizophrenia, and pain. Specifically, we will contribute to the development and application of (1) biomarkers using machine learning algorithms that can learn from a small number of samples, and (2) advanced neurofeedback based on data-driven selection of intervention targets.

脳科学とAI技術に基づく精神神経疾患の診断と治療技術開発とその応用
3-2

Surveys on next-generation AI technologies and development of fundamental technologies

Research and Development on Next-Generation AI and its Key Technology Based on Nonlinear Dynamics

合原 一幸

Kazuyuki AIHARA

Ph.D., Professor, Institute of Industrial Science, The University of Tokyo

In this research project, we explore technological backgrounds of mathematical models related to information processing in the brain as well as next-generation AI based on such models, review the possibility of realization of such next-generation AI technology and trends of state-of-the-art research, and propose important tasks necessary for the realization of next-generation AI that learns from the dynamic brain particularly from the viewpoint of nonlinear dynamics with a focus on both functions of the normal brain and dysfunctions of the impaired brain. Then, we develop basic mathematical technology for innovative brain-type algorithms, and consider its applicability to robotics and mental illnesses.

非線形動力学に基づく次世代AIと基盤技術に関する研究開発