바이오및뇌공학과 뇌인지 공학 프로그램

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짧은소개글 뇌인지공학프로그램 비정기세미나

안녕하세요, 바이오및뇌공학과 뇌인지공학프로그램 입니다.

 

 

12월 9일(금) 오전 11시 215호 강의실에서 뇌인지공학프로그램 비정기세미나가 개최됩니다.

 

이번 초청연사는 Northwestern University의 Sungshin Kim 박사님이시며,

"Cache memory and hard disk in the brain: Combined approach of computational models and neuroimaging techniques"를 주제로 강연해주실 예정이십니다.

 

관심있는 분들의 많은 참여 부탁드립니다. 감사합니다.

 

 

Dear members of department of Bio and Brain Engineering, 

  

Program of Brain and Cognitive Engineering will have the special seminar this friday.

Please see below for reference.

 

                              = below =

 

1. Title: "Cache memory and hard disk in the brain: Combined approach of computational models and neuroimaging techniques"

2. Speaker: Sungshin Kim , Ph.D / Northwestern University

3. Date & Time:2016. 12. 9, Friday, AM 11:00~

4. Venue: 2F At room 215, Chungmoonsoul Bldg.(E16)


 

I am sending seminar poster for everyone, please refer to the attachment file.

And anyone interested are welcome to attend seminar.


5849f56a3fddcd8cbdcf9906.jpg



<Abstract>

 

In the last decade, computational models in motor learning have become popular because it provides a theoretical framework not only to explain but predict motor learning behaviors. However, the computational approach sometimes has been criticized by dominating experimentalists in neuroscience due to its lack of the underlying neural mechanisms to support the hypothetical models. We combined computational modeling with a neuroimaging technique such as fMRI to understand human motor memories. First, we provided a unifying mechanism accounting for the spacing and the contextual interference effects using multi-rate motor adaption models. Second, we searched neural substrates related to motor memories predicted by a computational model. We could see the gradual shift of the correlated areas from the fronto-parietal to the anterior cerebellar area with slower time scales. In addition, using multi-voxel pattern analysis (MVPA), we found results supporting separate representation of learning opposing rotations in the cerebellum. Our studies show functional similarity of memory architecture of the brain to that of computer system with fronto-parietal network for a cache memory and anterior cerebellar region for a hard disk.   ​



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