Date: 2005.12.13 (Tue) 11:00-15:00
Place: Informatics Education Building 4F, Conference Room
Time: 11:00-12:00
Speaker: Mihoko Otake
Title: Integrative and collaborative research through the development of multiscale neural simulator, human science integration seminar, and a hundred hour workshop
Keywords: platform simulator, neuroinformatics, computer supported collaborative learning (CSCL), science integration program (SCINT), center of excellence (COE)

Affiliation: Science Integration Program - Humans, Department of Frontier Sciences and Science Integration, Division of Project Coordination, PRESTO JST
Position: Lecturer
Collaborator: Toshihisa Takagi, Takagi Lababoratory
Disciplines: Robotics, Polymer Science, Neuroinformatics, Data Science, Collaborative Learning
Societies and Conferences: IEEE, Robotics Society of Japan (RSJ), Information Processing Society of Japan (IPSJ), Japanese Society of Bioinformatics (JSBI), IEEE International Conference on Robotics and Automation, SPIE Electroactive Polymer Actuators and Devices (EAPAD), Intelligent Autonomous Systems, Genome Informatics Workshop, ACM SIGCHI Designing Interactive Systems

Bibliography: Mihoko Otake, Integrative and collaborative research through the development of multiscale neural simulator, human science integration seminar, and a hundred hour workshop, Human Science Integration Seminar Abstracts, No. 13, pp. 1, 2005.
(Please use this bibliography when you cite this abstract.)

Abstract:
It is widely recognized that integrating fundamental knowledge is very important for the progress of science. Also, scientists must work out to make scientific data and information much more accessible and useful for real-world decision-making in this information society. The Science Integration (SCINT) Program - Humans was established in April 2005 under the direction of University of Tokyo President, Hiroshi Komiyama, in order to meet these needs.
In this program, the speaker has been developing multiscale neural simulator, where data, information and knowledge of neuroscience are integrated. The strategy for building neural simulator is to combine top down approach and bottom up approach. This talk is organized according to these approaches. Top down approach includes building macroscopic anatomical nervous systems model which can be connected to the musculoskeletal model. Bottom up approach includes interfacing microscopic anatomical and physiological neural models to the macroscopic model. The proposed method was successfully applied to the neural models registered on one of the typical biological model database, ModelDB.
In the end, two collaborative activities lead by the speaker are introduced, human science integration seminar project and a hundred hour workshop project. The philosophy of the program has been in action through these efforts.

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