Publications
Detailed Information
NEURONAL SPIKE TRAIN DECODING FOR THE BRAIN-COMPUTER INTERFACE USING NONLINEAR FILTER BASED ON SUPPORT VECTOR MACHINE
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, SS | - |
dc.contributor.author | Kim, KH | - |
dc.contributor.author | Kim, Sung June | - |
dc.date.accessioned | 2009-08-26T02:41:59Z | - |
dc.date.available | 2009-08-26T02:41:59Z | - |
dc.date.issued | 2004-12-01 | - |
dc.identifier.citation | 제7회 한국뇌신경학회 학술대회, 서울대학교, 2004년 12월 1일 | en |
dc.identifier.uri | http://www.ksbns.org/abstract/2004_fall/green/view.html?num=490 | - |
dc.identifier.uri | https://hdl.handle.net/10371/7840 | - |
dc.description.abstract | For the brain-computer interface based on the activities of multiple cortical neurons, the decoding algorithm, which extracts the information on the movement parameters encoded within the neuronal spike train, is essential. We devised and implemented several decoding algorithms based on linear and nonlinear filtering in order to confirm the necessity of the nonlinear filter. Their performances were evaluated under various conditions by changing the number of neurons within the spike train, the length and the frequency of input to the decoding algorithms, and type and rates of error for the spike detection and classification. We confirmed the general superiority of nonlinear filters. The support vector machine showed the highest performance. | en |
dc.language.iso | en | en |
dc.publisher | 한국뇌신경과학회 = The Korean Society for Brain and Neural Science | en |
dc.subject | spike train | en |
dc.subject | training | en |
dc.subject | error rates | en |
dc.subject | decoding performance | en |
dc.subject | BCI | en |
dc.title | NEURONAL SPIKE TRAIN DECODING FOR THE BRAIN-COMPUTER INTERFACE USING NONLINEAR FILTER BASED ON SUPPORT VECTOR MACHINE | en |
dc.type | Conference Paper | en |
dc.contributor.AlternativeAuthor | 김성준 | - |
- Appears in Collections:
- Files in This Item:
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.