November 20,2017 at Okochi Hall

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This workshop is devoted to the interdisciplinary development of neuroscience through invited lectures and presentations on the state-of-the-art in neuroinformatics and to promote information exchange between domestic and foreign researchers. The main theme  of AINI 2017 is to explore new approaches to neuroinformatics education. By covering measurement, mathematical modeling and simulation, new challenges to research and education will be explored through the workshop. All papers accepted and presented in this workshop will be published at the J-Node Portal with DOI.

Date November 20(Mon) -21(Tues), 2017
Venue Okochi Hall, RIKEN 2-1 Hirosawa, Wako, Saitama, JAPAN    [Access]
Important dates

Abstract Submission   October 11(Wed) Closed    

On-line Registration   November 10(Fri) Closed.

Program and on-line abstracts have been released.

Keynote Speakers

Viktor JIRSA 

Director, INS Aix-Marseille Univeristy 


Mitsuo KAWATO 

Director, ATR Fellow, ATR Brain Information Communication Research Laboratory Group

Jean-Baptiste POLINE

Chair of INCF Training and Education Committee, University of California, Berkeley; McGill University, Montreal Neurological Institute


Ichiro TSUDA 

Professor, Chubu University Academy of Emerging Sciences

   Ryoji SUZUKI Emeritus Professor of Osaka University; Emeritus Professor and Advisor of Kanazawa Institute of Technology
   Yoko YAMAGUCHI Neuroinformatics Japan Center Director, RIKEN Brain Science Institute
Fee Free
Language English

Organized by

RIKEN Brain Science Institute



Supported by

The Japanese Society for Comparative Physiology and Biochemistry


 In Cooperation with

The Japanese Society for Artificial Intelligence The Institute of Statistical Mathematics Japanese Neural Network Society    The Japan Neurocience Society


AINI 2017 Secretariat, Neuroinformatics Japan Center, RIKEN Brain Science Institute

e-mail: aini2017(at)

Reference INCF Japan Node International Workshop AINI


※This Workshop is a part of the RIKEN Symposium Series. 

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