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Volumn 19, Issue 3, 2000, Pages 334-341

ICA in the single-trial estimation and analysis of VEP

Author keywords

Artificial neural network; Independent component analysis (ICA); Single trial estimation

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; COMPUTER SIMULATION; EVOKED VISUAL RESPONSE; MATHEMATICAL ANALYSIS;

EID: 0033782351     PISSN: 02588021     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (11)
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  • 3
    • 0033556834 scopus 로고    scopus 로고
    • Independent component analysis using an extended infomax algorithm for mixed Subgaussian and Supergaussian sources
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 409-433
    • Lee, T.W.1
  • 4
    • 0030931604 scopus 로고    scopus 로고
    • Blind separation of auditory event-related brain responses into independent components
    • (1997) Proc Nat Acad Sci USA , vol.94 , pp. 10979-10984
    • Makeig, S.1
  • 5
    • 0032477880 scopus 로고    scopus 로고
    • Spatially independent activity patterns in functional magnetic resonance imaging data during the stroop color-naming task
    • (1998) Proc Natl Acad Sci USA , vol.95 , pp. 803-810
    • McKeown, M.J.1
  • 8
    • 0007639707 scopus 로고    scopus 로고
    • A new learning algorithm for blind signal separation, Advances in Neural Information Processing Systems 8, MIT press
    • (1996) , pp. 757-763
    • Amari, S.1
  • 9
    • 0032187697 scopus 로고    scopus 로고
    • Adaptive blind signal processing - Neural network approaches
    • (1998) Proc IEEE , vol.86 , Issue.10 , pp. 2026-2049
    • Amari, S.1
  • 10
    • 0032187518 scopus 로고    scopus 로고
    • Blind signal separation: Statistical principles
    • (1998) Proc IEEE , vol.86 , Issue.10 , pp. 2009-2025
    • Cardoso, J.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.