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gpu-based implementation of infomax ica  (InfoMax Inc)

 
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    InfoMax Inc gpu-based implementation of infomax ica
    Scalp maps and respective equivalent dipole locations of eight reliable independent components identified <t>using</t> <t>RELICA</t> in the data of a representative participant. Each IC is connected by an arrow to its relative cluster. Each dot represents a particular IC of one (out of 150) <t>ICA</t> run. The more compact the cluster the higher the stability of a IC to small variations in the original data (bootstrapping). IC1 and IC2 account for vertical and lateral eye movement artifacts and IC7 and IC8 account for left and right neck muscle activity respectively. The high quality index (QIc) values for these ICs (respectively 92%, 89%, 93%, 91%) is consistent with the relative compactness of their RELICA IC clusters, and their high dopolarity is ascribed to the short electrode-source distance and power of such artifacts. Artifactual (non-brain) components with high dipolarity (Dip>90%) and replicability quality index (QIc>85%), and with equivalent dipole locations outside the brain volume such as these were removed from the data before proceeding with further analyses. IC4, IC5, IC15, and IC20, instead, represent meaningful, brain-based central, left, and right mu rhythm processes with high dipolarity and QIc. This 2D representation of the IC space enables also to detect possible ICA decomposition artifacts, i.e., components that might not have been successfully separated, by their “mustache”-like distribution (e.g. IC56).
    Gpu Based Implementation Of Infomax Ica, 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/gpu-based+implementation+of+infomax+ica/gpu+based+implementation+of+infomax+ica/pmc06698582-104-10-10
    Average 90 stars, based on 1 article reviews
    gpu-based implementation of infomax ica - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking"

    Article Title: Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking

    Journal: NeuroImage

    doi: 10.1016/j.neuroimage.2017.07.013

    Scalp maps and respective equivalent dipole locations of eight reliable independent components identified using RELICA in the data of a representative participant. Each IC is connected by an arrow to its relative cluster. Each dot represents a particular IC of one (out of 150) ICA run. The more compact the cluster the higher the stability of a IC to small variations in the original data (bootstrapping). IC1 and IC2 account for vertical and lateral eye movement artifacts and IC7 and IC8 account for left and right neck muscle activity respectively. The high quality index (QIc) values for these ICs (respectively 92%, 89%, 93%, 91%) is consistent with the relative compactness of their RELICA IC clusters, and their high dopolarity is ascribed to the short electrode-source distance and power of such artifacts. Artifactual (non-brain) components with high dipolarity (Dip>90%) and replicability quality index (QIc>85%), and with equivalent dipole locations outside the brain volume such as these were removed from the data before proceeding with further analyses. IC4, IC5, IC15, and IC20, instead, represent meaningful, brain-based central, left, and right mu rhythm processes with high dipolarity and QIc. This 2D representation of the IC space enables also to detect possible ICA decomposition artifacts, i.e., components that might not have been successfully separated, by their “mustache”-like distribution (e.g. IC56).
    Figure Legend Snippet: Scalp maps and respective equivalent dipole locations of eight reliable independent components identified using RELICA in the data of a representative participant. Each IC is connected by an arrow to its relative cluster. Each dot represents a particular IC of one (out of 150) ICA run. The more compact the cluster the higher the stability of a IC to small variations in the original data (bootstrapping). IC1 and IC2 account for vertical and lateral eye movement artifacts and IC7 and IC8 account for left and right neck muscle activity respectively. The high quality index (QIc) values for these ICs (respectively 92%, 89%, 93%, 91%) is consistent with the relative compactness of their RELICA IC clusters, and their high dopolarity is ascribed to the short electrode-source distance and power of such artifacts. Artifactual (non-brain) components with high dipolarity (Dip>90%) and replicability quality index (QIc>85%), and with equivalent dipole locations outside the brain volume such as these were removed from the data before proceeding with further analyses. IC4, IC5, IC15, and IC20, instead, represent meaningful, brain-based central, left, and right mu rhythm processes with high dipolarity and QIc. This 2D representation of the IC space enables also to detect possible ICA decomposition artifacts, i.e., components that might not have been successfully separated, by their “mustache”-like distribution (e.g. IC56).

    Techniques Used: Activity Assay

    Related Articles

    Activity Assay:

    Article Title: Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking
    Article Snippet: Within RELICA, ICs were extracted using a GPU-based implementation of Infomax ICA , CUDAICA , whose relative speed on CUDA-enabled workstations made 150 bootstrap repetitions feasible.



    Similar Products

    gpu-based implementation of infomax ica  (InfoMax Inc)
    90
    InfoMax Inc gpu-based implementation of infomax ica
    Scalp maps and respective equivalent dipole locations of eight reliable independent components identified <t>using</t> <t>RELICA</t> in the data of a representative participant. Each IC is connected by an arrow to its relative cluster. Each dot represents a particular IC of one (out of 150) <t>ICA</t> run. The more compact the cluster the higher the stability of a IC to small variations in the original data (bootstrapping). IC1 and IC2 account for vertical and lateral eye movement artifacts and IC7 and IC8 account for left and right neck muscle activity respectively. The high quality index (QIc) values for these ICs (respectively 92%, 89%, 93%, 91%) is consistent with the relative compactness of their RELICA IC clusters, and their high dopolarity is ascribed to the short electrode-source distance and power of such artifacts. Artifactual (non-brain) components with high dipolarity (Dip>90%) and replicability quality index (QIc>85%), and with equivalent dipole locations outside the brain volume such as these were removed from the data before proceeding with further analyses. IC4, IC5, IC15, and IC20, instead, represent meaningful, brain-based central, left, and right mu rhythm processes with high dipolarity and QIc. This 2D representation of the IC space enables also to detect possible ICA decomposition artifacts, i.e., components that might not have been successfully separated, by their “mustache”-like distribution (e.g. IC56).
    Gpu Based Implementation Of Infomax Ica, 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/gpu-based+implementation+of+infomax+ica/gpu+based+implementation+of+infomax+ica/pmc06698582-104-10-10
    Average 90 stars, based on 1 article reviews
    gpu-based implementation of infomax ica - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Scalp maps and respective equivalent dipole locations of eight reliable independent components identified using RELICA in the data of a representative participant. Each IC is connected by an arrow to its relative cluster. Each dot represents a particular IC of one (out of 150) ICA run. The more compact the cluster the higher the stability of a IC to small variations in the original data (bootstrapping). IC1 and IC2 account for vertical and lateral eye movement artifacts and IC7 and IC8 account for left and right neck muscle activity respectively. The high quality index (QIc) values for these ICs (respectively 92%, 89%, 93%, 91%) is consistent with the relative compactness of their RELICA IC clusters, and their high dopolarity is ascribed to the short electrode-source distance and power of such artifacts. Artifactual (non-brain) components with high dipolarity (Dip>90%) and replicability quality index (QIc>85%), and with equivalent dipole locations outside the brain volume such as these were removed from the data before proceeding with further analyses. IC4, IC5, IC15, and IC20, instead, represent meaningful, brain-based central, left, and right mu rhythm processes with high dipolarity and QIc. This 2D representation of the IC space enables also to detect possible ICA decomposition artifacts, i.e., components that might not have been successfully separated, by their “mustache”-like distribution (e.g. IC56).

    Journal: NeuroImage

    Article Title: Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking

    doi: 10.1016/j.neuroimage.2017.07.013

    Figure Lengend Snippet: Scalp maps and respective equivalent dipole locations of eight reliable independent components identified using RELICA in the data of a representative participant. Each IC is connected by an arrow to its relative cluster. Each dot represents a particular IC of one (out of 150) ICA run. The more compact the cluster the higher the stability of a IC to small variations in the original data (bootstrapping). IC1 and IC2 account for vertical and lateral eye movement artifacts and IC7 and IC8 account for left and right neck muscle activity respectively. The high quality index (QIc) values for these ICs (respectively 92%, 89%, 93%, 91%) is consistent with the relative compactness of their RELICA IC clusters, and their high dopolarity is ascribed to the short electrode-source distance and power of such artifacts. Artifactual (non-brain) components with high dipolarity (Dip>90%) and replicability quality index (QIc>85%), and with equivalent dipole locations outside the brain volume such as these were removed from the data before proceeding with further analyses. IC4, IC5, IC15, and IC20, instead, represent meaningful, brain-based central, left, and right mu rhythm processes with high dipolarity and QIc. This 2D representation of the IC space enables also to detect possible ICA decomposition artifacts, i.e., components that might not have been successfully separated, by their “mustache”-like distribution (e.g. IC56).

    Article Snippet: Within RELICA, ICs were extracted using a GPU-based implementation of Infomax ICA , CUDAICA , whose relative speed on CUDA-enabled workstations made 150 bootstrap repetitions feasible.

    Techniques: Activity Assay