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Volumn , Issue , 2010, Pages 1380-1384

Information theoretic approach to quantify causal neural interactions from EEG

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; DIRECTED INFORMATION; EEG ACTIVITY; FUNCTIONAL NETWORK; GRANGER CAUSALITY; INFORMATION-THEORETIC APPROACH; NETWORK INFERENCE; NEURAL INTERACTIONS; NEUROPHYSIOLOGICAL RECORDINGS; NONLINEAR DEPENDENCIES; SIMULATED DATA;

EID: 79957989676     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2010.5757760     Document Type: Conference Paper
Times cited : (9)

References (22)
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  • 3
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  • 4
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    • Measuring information transfer
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    • Schreiber, T.1
  • 8
    • 0035377249 scopus 로고    scopus 로고
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  • 11
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    • Kramer, G.1
  • 13
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    • Estimation of the information by an adaptive partitioning of the observation space
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.