2017年10月に新設された世界トップレベル研究拠点ニューロインテリジェンス国際研究機構の学際的研究活動の一環として、ポスドクや大学院生を対象に、脳神経回路形成と脳機能数理モデルの進歩と最新の知識を学び、異分野融合による新たなA.I.戦略立案とアプリケーション開発に関するグローバルなコラボレーションの機会を提供します。将来のキャリアステージに意欲的な若手研究者の応募をお待ちしています。

The International Research Center for Neurointelligence (IRCN) was launched in 2017 to advance scientific progress at the boundary of neuroscience, computation, and artificial intelligence (AI) at The University of Tokyo.

The First IRCN Course in Neuro-Inspired Computation is designed for international researchers from diverse fields and backgrounds at the graduate student and postdoctoral career stages to learn about the latest advances in computational modeling of the brain and its use in developing new AI strategies and applications. The course is part of the interdisciplinary research activities of the center and students will have an opportunity to contribute to the generation of new synergistic collaborations and the establishment of the research field of “Neurointelligence” in science and society.

The course will be held from March 21-24, 2019 at The University of Tokyo, and tuition, international airfare, and accommodation will be covered for accepted applicants.

We welcome applications from early career researchers, including diversity in gender, who wish to build their knowledge base and plan a career in the frontier area of neural computation, widely considered the foundation for an understanding of brain and machine intelligence.

Course Topics and Lecturers

Brain Architecture
Partha Mitra(Cold Spring Harbor Laboratory, USA)
Markus Diesmann (Jülich Research Center, Germany)
Brain Dynamics
Kazuyuki Aihara (IRCN/The University of Tokyo, Japan)
Stefano Panzeri (Italian Institutes of Technology, Italy)
Michelle McCarthy (Boston University, USA)
Machine Learning
Masashi Sugiyama (RIKEN and IRCN/The Unviersity of Tokyo, Japan)
Graham Taylor (University of Guelph and Vector Institute/Google Brain Montreal, Canada)
Jonathan Schneider (University of Toronto, Canada)
Dynamical Systems
Surya Ganguli (Stanford University, USA)
Jun Tani (Okinawa Institute of Science and Technology, Japan)
Yasuo Kuniyoshi (IRCN/The University of Tokyo, Japan)
Reinforcement Learning
Kenji Doya (Okinawa Institute of Science and Technology, Japan)
Daniel Brunner (CNRS, France)
Brain Development / Disorders
Taro Toyoizumi (RIKEN Center for Brain Science, Japan)
Arvind Kumar (KTH Royal Institute of Technology, Sweden)
Nima Dehghani (Massachusetts Institute of Technology, USA)

Course Details

Date
March 21 to 24, 2019
Venue
Sanjo-Kaikan Hall, The University of Tokyo,
Hongo, Bunkyo-ku, Tokyo 113-0033, JAPAN
Detailed Program
Refer to the PDF

For questions only: E-mail: course@ircn.jp




Co-Supported by Next Generation Artificial Intelligence Research Center, KAKENHI Project on Artificial Intelligence and Brain Science and Japan Agency for Medical Research and Development