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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/in-built+function+princomp/pm39843439-475-5-14
    Average 90 stars, based on 1 article reviews
    built-in ‘princomp’ function - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: An Analogue Front-End Model for Developing Neural Spike Sorting Systems
    Article Snippet: We use the Matlab’s in-built function princomp. c) First and Second Derivative Features (FSDE): This method is based on taking theminimum andmaximum values of the 2nd derivative and the maximum value of the 1st derivative (within each spike) which has been shown to provide good performance in resource constrained hardware [27].



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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: