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Volumn 3512, Issue , 2005, Pages 1083-1090

An ICA approach to detect functionally different intra-regional neuronal signals in MEG data

Author keywords

[No Author keywords available]

Indexed keywords

ELECTROENCEPHALOGRAPHY; INDEPENDENT COMPONENT ANALYSIS; SIGNAL PROCESSING;

EID: 25144455945     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11494669_133     Document Type: Conference Paper
Times cited : (2)

References (13)
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    • Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals
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    • Validating the independent components of neuroimaging time series via clustering and visualization
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    • A resampling approach to estimate the stability of one-dimensional or multidimensional independent components
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    • Spatial properties and interhemispheric differences of the sensory hand cortical representation: A neuromagnetic study
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.