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built-in ‘princomp’ function  (MathWorks Inc)


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    MathWorks Inc built-in ‘princomp’ function
    Built In ‘Princomp’ Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/built-in+%27princomp%27+function/pm39843439-475-5-14?v=MathWorks+Inc
    Average 90 stars, based on 1 article reviews
    built-in ‘princomp’ function - by Bioz Stars, 2026-07
    90/100 stars

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    (a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab princomp) and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.

    Journal: BioMedical Engineering OnLine

    Article Title: Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination

    doi: 10.1186/1475-925X-11-18

    Figure Lengend Snippet: (a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab princomp) and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.

    Article Snippet: Matlab built-in functions, princomp , was used as the conventional PCA routine.

    Techniques:

    Evaluation of spike sorting accuracy with varied SNR . Comparisons between PCA (Matlab princomp) and stream-based Hebbian eigenfilter are based on (a) 2 neruons (b) 3 neruons (c) 4 neurons cases.

    Journal: BioMedical Engineering OnLine

    Article Title: Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination

    doi: 10.1186/1475-925X-11-18

    Figure Lengend Snippet: Evaluation of spike sorting accuracy with varied SNR . Comparisons between PCA (Matlab princomp) and stream-based Hebbian eigenfilter are based on (a) 2 neruons (b) 3 neruons (c) 4 neurons cases.

    Article Snippet: Matlab built-in functions, princomp , was used as the conventional PCA routine.

    Techniques:

    Evaluation of false positive rate of spike sorting with varied SNR . Comparisons between stream-based Hebbian eigenfilter and PCA (Matlab princomp) are based on (a) 2 neruons (b) 3 neruons (c) 4 neurons cases.

    Journal: BioMedical Engineering OnLine

    Article Title: Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination

    doi: 10.1186/1475-925X-11-18

    Figure Lengend Snippet: Evaluation of false positive rate of spike sorting with varied SNR . Comparisons between stream-based Hebbian eigenfilter and PCA (Matlab princomp) are based on (a) 2 neruons (b) 3 neruons (c) 4 neurons cases.

    Article Snippet: Matlab built-in functions, princomp , was used as the conventional PCA routine.

    Techniques: