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independent component analysis ica toolbox  (MathWorks Inc)


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    MathWorks Inc independent component analysis ica toolbox
    Independent Component Analysis Ica Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 98/100, based on 1101 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/independent+component+analysis+processing/Signal+Processing+Toolbox/pmc11367548-202-17-25
    Average 98 stars, based on 1101 article reviews
    independent component analysis ica toolbox - by Bioz Stars, 2026-11
    98/100 stars

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    Article Title: Genetic polymorphisms in COMT and BDNF influence synchronization dynamics of human neuronal oscillations
    Article Snippet: Next, independent component analysis (ICA, MATLAB toolbox Fieldtrip ( )) was used to extract and exclude signal components that were correlated with eye movement, blink and cardiac artifacts.

    Article Title: Protocol to evaluate the effectiveness of a virtual-reality-based behavioral intervention in enhancing sensory responses to real-world warning.
    Article Snippet: Kim et al., STAR Protocols 5, 103262 September 20, 2024 a 2024 The Authors.. Published by Habituation to signals that warn of a potential danger in high-risk work environments is a critical causal factor of workplace accidents.. Such habituation is hard to measure in a real-world setting, and no existing intervention can effectively curb it.

    Article Title: Protocol to evaluate the effectiveness of a virtual-reality-based behavioral intervention in enhancing sensory responses to real-world warning
    Article Snippet: In order to remove the stationary and non-brain signal artifacts (e.g., eye blink artifacts), we used the Independent Component Analysis (ICA) toolbox in EEGLAB with MATLAB R2021a.

    Article Title: Synchronization networks reflect the contents of visual working memory
    Article Snippet: Independent component analysis (ICA, MATLAB toolbox Fieldtrip) was used to identify and extract components correlated with ocular (identi ed using the EOG signal) or heart-beat artefacts (identi ed using the magnetometer signal as a reference).



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