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URL: http://www.unicog.org/pm/pmwiki.php/MEG/RemovingArtifactsWithADJUST
Proper Citation: ADJUST (RRID:SCR_009526)
Description: A completely automatic algorithm for artifact identification and removal in EEG data. ADJUST is based on Independent Component Analysis (ICA), a successful but unsupervised method for isolating artifacts from EEG recordings. ADJUST identifies artifacted ICA components by combining stereotyped artifact-specific spatial and temporal features. Features are optimised to capture blinks, eye movements and generic discontinuities. Once artifacted IC are identified, they can be simply removed from the data while leaving the activity due to neural sources almost unaffected.
Abbreviations: ADJUST
Synonyms: ADJUST - EEG Automatic Artifact Removal, ADJUST: automatic algorithm for EEG artifact removal
Resource Type: software resource
Defining Citation: PMID:20636297
Keywords: eeg, meg, electrocorticography, matlab, os independent
Availability: GNU General Public License
Resource Name: ADJUST
Resource ID: SCR_009526
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National Institute of Health and Medical Research; Rennes; France |
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The data sets included in this resource are published in Kravitz et al, 2012. Distinct roles for direct and indirect pathway striatal neurons in reinforcement (Nat. Neurosci).
