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Seminars & Symposiums

2010 Sigma Lecture -- Graduate School of Engineering Science

2010-1-25 (Mon) 2:40 p.m. - 4:10 p.m.

The 2010 Sigma Lecture of the Graduate School of Engineering Science will be held on Monday, January 25, 2010. KAWATO Mitsuo, Director of the ATR Computational Neuroscience Laboratories, has been invited to this lecture to speak about computational neuroscience and Brain-Machine Interface (BMI). Faculty, staff, and students, as well as persons connected with the Graduate School of Engineering Science, are cordially welcome to this lecture.

Registration is not required.

LecturerKAWATO Mitsuo, Director, ATR Computational Neuroscience Laboratories

Lecture title: "Computational Neuroscience and Brain-Machine Interface"

Brain-Machine Interface (BMI), technology directly connecting the brain to medical equipment or information communication equipment, is making rapid progress. In clinical practice, this technology has made possible artificial hearing and deep brain stimulation for hundreds of thousands of people. Additionally, regarding the physical and communication challenges of stroke patients, it is hoped that this technology will contribute to treatment and facilitate brain compensatory functions.

However, at this time, we have not been able to categorize directly human emotional exchanges via data or information communication systems. Extra-sensory perception such as telekinesis, telepathy, teleportation, and thoughtography that we have dreamed of, frequently gimmicks and tricks, are now being recognized by neuroscience.

This lecture will consider how BMI technology may affect society.

Neuroscience has achieved excellent progress in imaging technology and computational research regarding humans, but is still in the early developmental stage in terms of being a hard science for clarifying causal relationships. Traditional mainstream neuroscience interprets information processing of the brain by observing behavior and brain activity and by showing correlations between information representation in the brain and brain activity.

The lecture will focus on a new methodology that predicts dynamics of behavior and brain activity in experiments based on BMI and a computation model, extracting internal notations from the data, and processing them experimentally.

For more information, contact: International Building Working Committee, Tel: 06-6850-6131

Date: 2010-1-25 (Mon) 2:40 p.m. - 4:10 p.m.
Sponsored: International Building Working Committee, Graduate School of Engineering Science
Venue: Display Room, International Building Working Committee, Graduate School of Engineering Science
Registration: Not necessary.

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