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InfoMax Inc runica algorithm
Runica Algorithm, supplied by InfoMax 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/runica+algorithm/runica/pm39536421-96-11-11
Average 90 stars, based on 1 article reviews
runica algorithm - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Binaural beats at 0.25 Hz shorten the latency to slow-wave sleep during daytime naps
Article Snippet: First, channel locations were registered; second, all channels were re-referenced to average mastoids (M1, M2); and third, a basic FIR filter in the EEGLAB toolbox was applied between 0.3 and 35 Hz according to the routine presented in the AASM manual ; (iii) data from the F3, F4, C3, C4, T3, T4, O1, O2, Fz, Cz, Pz, and two EOG channels were subjected to independent component analysis (ICA) utilizing the default “Infomax runica.m” algorithm .

Article Title: Emotional expressions, but not social context, modulate attention during a discrimination task.
Article Snippet: Epochs of −200– 1500 ms around stimulus onset were extracted and a subsequent Infomax ICA was performed using the runica function from the EEGLAB plugin.

Article Title: The Power of Food Advertisements: A Brief Mindfulness Instruction Does Not Prevent Psychophysiological Responses Triggered by Food Ads.
Article Snippet: Artifacts originating from eye blinks or movements, heart beats, muscle contraction, channel noise, or electrical interference were identified and removed by means of independent component analysis (ICA) with the Extended Infomax algorithm (runica) for ICA decomposition, with no PCA dimension reduction and using the ICLabel 1.4 classifier [48]; additionally, components with an IC class probability score [48] between 0.8 and 1 in the aforementioned artifactual categories were removed.

Article Title: Multiple independent components contribute to event-related potential correlates of conscious vision.
Article Snippet: To remove epochs containing artefacts, ICA was computed using the extended Infomax runICA algorithm (Bell & Sejnowski, 1995), and trials contaminated by artefactual components were removed using the EEGLAB function pop_jointprob (SD = 5 for both local threshold and global threshold).

Article Title: Exploring the impact of manual and automatic EEG pre-processing methods on interpersonal neural synchrony measures in parent-infant hyperscanning studies.
Article Snippet: Analysis of the components of the signals was performed through ICA in both pipelines using the default Infomax ICA algorithm (runica).

Article Title: Neural Mechanism of Musical Pleasure Induced by Prediction Errors: An EEG Study
Article Snippet: Finally, we conducted Infomax ICA, specifically using ‘runica’ with default options.

Activity Assay:

Article Title: EEG frequency tagging reveals the integration of dissimilar observed actions.
Article Snippet: .. An independent component analysis (ICA) was performed using the infomax runica algorithm on themerged segmented data to remove electrophysiological activity associated with horizontal and vertical eye movements. ..



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