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 / Nancy Kopell (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)
Joel Levine / Jonathan Schneider (University of Toronto, Canada)
Dynamical Systems
Linda Smith (Indiana 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)

Course Details

Date
March 21 to 24, 2019
Venue
Sanjo-Kaikan Hall, The University of Tokyo,
Hongo, Bunkyo-ku, Tokyo 113-0033, JAPAN
Financial Support
Tuition, airfare, and accomodation

Application

To apply:
Please create your account and complete your application form on this online application system,"T-cens SP"
Program Name: "Neuro-inspired Course at The University of Tokyo, Japan March 21-24, 2019"
If any questions, please see User Guide / T-cens FAQ.

Application Deadline: December 15, 2018

Required application materials (upload to website above):
1. CV including publications
2. Two letters of reference
3. A one page (single-spaced) statement covering:
    a. Description of your current research
    b. Reasons for participating in the course
    c. What is the future of neural computation?
    d. Tentative poster title (for required poster session)

Contact

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

Neuro-inspired Computation Course Mar2019.pdf



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