바이오및뇌공학과 뇌인지 공학 프로그램

세미나

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Abstract:

A better understanding neural population function would be an important advance in systems neuroscience. Neurons encode many parameters simultaneously, but the fidelity of encoding at the level of individual neurons is weak.  However, because encoding is redundant and consistent across the population, extraction methods based on multiple neurons are capable of generating a faithful representation of intended movement.  The realization that useful information is embedded in the population has spawned the current success of brain-controlled interfaces.  Since multiple movement parameters are encoded simultaneously in the same population of neurons, we have been gradually increasing the degrees of freedom (DOF) that a subject can control through the interface.  Our early work showed that 3-dimensions could be controlled in a virtual reality task.  We then demonstrated control of an anthropomorphic physical device with 4 DOF in a self-feeding task.  Currently, monkeys in our laboratory are using this interface to control a very realistic, prosthetic arm with a wrist and hand to grasp objects in different locations and orientations.  Our recent data show that we can extract 10-DOF to add hand shape and dexterity to our control set.  This technology has now been extended has been extended to a paralyzed patient who cannot move any part of her body below her neck.  Based on our laboratory work and using a high-performance “modular prosthetic limb” she has been able to control 10 degrees-of-freedom simultaneously.  The control of this artificial limb is intuitive and the movements are coordinated and graceful, closely resembling natural arm and hand movement.  This subject has been able to perform tasks of daily living--  reaching to, grasping and manipulating objects, as well as performing spontaneous acts such as self-feeding.  Current work is progressing toward making this technology more robust and extending the control with tactile feedback to sensory cortex.



List of Articles
번호 제목 글쓴이 날짜 조회 수
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» 뇌인지공학프로그램 특별세미나 안내 (연사: Andrew Schwartz 교수/ University of Pittsburgh) [9월 13일(수) 오후 3:00] file admin 2017.09.07 6212
35 뇌인지공학프로그램 정기세미나 안내 (연사: Zheng Wang 박사/ Institute of Neuroscience) [11월 23일(목) 오후 4:30] file admin 2017.11.21 1842
34 뇌인지공학프로그램 정기세미나 안내 (연사: Yu Haoyong 교수/National University of Singapore) [5월 26일(목) 오후 4:30] file admin 2016.05.19 32146
33 뇌인지공학프로그램 정기세미나 안내 (연사: Yongyeol Ahn 교수/Indiana University,Bloomington) [6월 9일(목) 오후 4:30] file admin 2016.06.02 32228
32 뇌인지공학프로그램 정기세미나 안내 (연사: Xiao-Jing Wang 교수/ New York University) [6월 1일(목) 오후 4:30] file admin 2017.05.30 12894
31 뇌인지공학프로그램 정기세미나 안내 (연사: Won Mok Shim 교수/ SungKyunKwan University) [11월 3일(목) 오후 4:30] file admin 2016.10.28 29326
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29 뇌인지공학프로그램 정기세미나 안내 (연사: Sungho Hong 박사/ Okinawa Institute of Science and Technology) [10월 12일(목) 오후 4:30] file admin 2017.10.09 3662
28 뇌인지공학프로그램 정기세미나 안내 (연사: Sukbin Lim 교수/New York University - Shanghai)[3월 31일(목) 오후 4:30] file admin 2016.03.23 31962
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26 뇌인지공학프로그램 정기세미나 안내 (연사: Nitish Thakor 교수/ National University of Singapore,Johns Hopkins University) Notice for the regular seminar [3월 17일(목) 오후 4:30] file admin 2016.03.15 31747
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19 뇌인지공학프로그램 정기세미나 안내 (연사: James Haxby 교수/ Dartmouth College) [10월 23일(월) 오후 4:30] file admin 2017.10.17 3798
18 뇌인지공학프로그램 정기세미나 안내 (연사: Jae Kyoung Kim 교수/ KAIST) [11월 10일(목) 오후 4:30] file admin 2016.11.08 29531
17 뇌인지공학프로그램 정기세미나 안내 (연사: Georgios Christopoulos 교수/ Nanyang Technological University) [12월 8일(목) 오후 4:30] file admin 2016.12.05 27360
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