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built-in functions, princomp  (MathWorks Inc)


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    Structured Review

    MathWorks Inc built-in functions, princomp
    (a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab <t>princomp)</t> and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.
    Built In Functions, Princomp, 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+function+princomp/pmc03352240-208-3-0
    Average 90 stars, based on 1 article reviews
    built-in functions, princomp - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination"

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

    Journal: BioMedical Engineering OnLine

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

    (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.
    Figure Legend 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.

    Techniques Used:

    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.
    Figure Legend 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.

    Techniques Used:

    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.
    Figure Legend 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.

    Techniques Used:

    Related Articles

    other:

    Article Title: Transcranial cortex-wide imaging of murine ischemic perfusion with large-field multifocal illumination fluorescence microscopy
    Article Snippet: An image stack lasting 5 s post-injection including 400 frames were loaded into MATLAB software and analyzed with the embedded “princomp” function to perform PCA.

    Article Title: Long-range functional loops in the mouse olfactory system and their roles in computing odor identity.
    Article Snippet: PCA was performed using built-in ‘princomp’ function in MATLAB.

    Article Title: Environmental enrichment enhances patterning and remodeling of synaptic nanoarchitecture as revealed by STED nanoscopy
    Article Snippet: The PCA was performed with the built-in MATLAB (MathWorks, Natick, MA) function ‘princomp’.

    Article Title: Automated Acoustic Evaluation of Voice Disorders: A Comprehensive Study on Parameter Analysis Using ANN
    Article Snippet: The primary components were computed using the Matlab function "princomp".


    Article Title: Consistent Linear and Non-Linear Responses to Invasive Electrical Brain Stimulation Across Individuals and Primate Species with Implanted Electrodes
    Article Snippet: Using the MATLAB ‘princomp’ function and treating time as the variable and the individual per-trial waveforms across brain regions and subjects as observations, we calculated the first 20 principal components (PCs) for the normalized voltages and found that the first two PCs explained >80% of the variance.

    Article Title: Fast updating feedback from piriform cortex to the olfactory bulb relays multimodal identity and reward contingency signals during rule-reversal.
    Article Snippet: PCA was performed using built-in ‘princomp’ function in Nature Communications | (2025) 16:937 14 MATLAB.

    Article Title: Comparison of 2 methods for prediction of liver dosimetric indices in hepatocellular cancer IMRT planning.
    Article Snippet: To evaluate the performance of 2 methods predicting liver dosimetric indices for hepatocellular cancer patients treated with intensity modulated radiation therapy (IMRT).. Two predicting methods were implemented to build correlation between geometric and dosimetric information of hepatocellular cancer IMRT plans.. One method used Principle Component Analysis method to simplify information and Support Vector Machine (SVM) regression method to build correlation.



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    MathWorks Inc built-in functions, princomp
    (a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab <t>princomp)</t> and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.
    Built In Functions, Princomp, 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+function+princomp/pmc03352240-208-3-0
    Average 90 stars, based on 1 article reviews
    built-in functions, princomp - by Bioz Stars, 2026-09
    90/100 stars
      Buy from Supplier

    Image Search Results


    (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: