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  1. 1
    Two-step principal component analysis (PCA) as a method for separating auditory N1 and N250 elicited from 9-year-old children using a dense electrode array : comparison between ERP-PCA and CSD-PCA

    Two-step principal component analysis (PCA) as a method for separating auditory N1 and N250 elicited from 9-year-old children using a dense electrode array : comparison between ERP... by Pantsar, Riikka

    Published 2008
    Subjects:
    Get full text
    Master's thesis
  2. 2
    Independent component analysis (ICA) in analysing child high-density event-related potential (ERP) and current source density (CSD) data

    Independent component analysis (ICA) in analysing child high-density event-related potential (ERP) and current source density (CSD) data by Tanskanen, Annika

    Published 2008
    Subjects:
    Get full text
    Master's thesis
  3. 3
    Two-step principal component analysis (PCA) as a method for separating auditory N1 and N250 elicited from 9-year-old children using a dense electrode array : comparison between ERP-PCA and CSD-PCA

    Two-step principal component analysis (PCA) as a method for separating auditory N1 and N250 elicited from 9-year-old children using a dense electrode array : comparison between ERP... by Pantsar, Riikka

    Published 2008
    Subjects:
    Get full text Get full text
    Master's thesis
  4. 4
    Independent component analysis (ICA) in analysing child high-density event-related potential (ERP) and current source density (CSD) data

    Independent component analysis (ICA) in analysing child high-density event-related potential (ERP) and current source density (CSD) data by Tanskanen, Annika

    Published 2008
    Subjects:
    Get full text Get full text
    Master's thesis
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