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InfoMax Inc runica infomax algorithm
Runica Infomax 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/infomax++runica++algorithm/pmc11314780-159-10-11
Average 90 stars, based on 1 article reviews
runica infomax algorithm - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Time-resolved dynamic computational modeling of human EEG recordings reveals gradients of generative mechanisms for the MMN response
Article Snippet: Independent Component Analysis (ICA) was applied to the raw data of each participant (only on the non-interpolated channels) using runica (Infomax) algorithm [ ] to identify and remove artefacts caused by eye blinks and saccades, as well as cardiac and muscular activity.

Article Title: Nonlinear refinement of functional brain connectivity in golf players of different skill levels
Article Snippet: Finally, we utilized independent component analysis (ICA; Runica Infomax algorithm) to identify and remove potential artifacts (blinks, eye movements, other non-neural activity).

Article Title: EEG Functional Connectivity Analysis for the Study of the Brain Maturation in the First Year of Life
Article Snippet: Independent component analysis (ICA) was applied by means of the RUNICA Infomax algorithm [ ].

Article Title: Utilization of resting-state electroencephalography spectral power in convolutional neural networks for classification of primary progressive aphasia
Article Snippet: ICA was performed using the infomax algorithm runica, adjusted to extract 25 components in order to meet full rank order assumptions of ICA ( ).

Article Title: Baseline EEG in the first year of life: Preliminary insights into the development of autism spectrum disorder and language impairments
Article Snippet: Independent component analysis (ICA) was applied by means of the RUNICA Infomax algorithm as implemented in EEGLAB.

Article Title: A longitudinal study of the effect of visuomotor learning on functional brain connectivity.
Article Snippet: KuoPin Wang and ChienLin Yu are cofirst authors.. 1Center for Cognitive Interaction Technology, Bielefeld University, Bielefeld, Germany 2Neurocognition and Action, Biomechanics Research Group, Faculty of Psychology and Sports Science, Bielefeld University, Bielefeld, Germany 3Department of Physical Education and Sport Sciences, National Taiwan Normal University, Taipei, Taiwan 4Institute for Research Excellence in Learning Science, National Taiwan Normal University, Taipei, Taiwan

Article Title: Time-resolved dynamic computational modeling of human EEG recordings reveals gradients of generative mechanisms for the MMN response.
Article Snippet: Independent Component Analysis (ICA) was applied to the raw data of each participant (only on the non-interpolated channels) using runica (Infomax) algorithm [80] to identify and remove artefacts caused by eye blinks and saccades, as well as cardiac and muscular activity.

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Article Title: Rehabilitation Modulates High-Order Interactions Among Large-Scale Brain Networks in Subacute Stroke
Article Snippet: .. Independent Component Analysis (ICA) was then applied to the ASR-cleaned EEG exploiting the RUNICA Infomax algorithm [36], and the ICLabel automated classifier [37] was employed to guide the manual selection of non-brain artifactual components, e.g., eye, heart, muscle, line noise. ..



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