2011-06-17T05:56:34-07:00
Resource:NEMO Analysis Toolkit
http://nemo.nic.uoregon.edu/wiki/NEMO_Analysis_Toolkit
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The NEMO ERP Analysis Toolkit includes tools for EEG/ERP and MEG data decomposition, and ontology-based mark-up, annotation, and labeling of patterns in EEG and MEG data. These tools have been implemented in MATLAB by Robert Frank, a mathematician and data analyst for NEMO. The current NEMO analysis pipeline has been designed with the aim to support cross-lab, cross-experiment meta-analysis of EEG and MEG data.
The current proposed processing pipeline consists of the following steps:
* Step 1: Decomposing ERP data (continuous data are transformed into discrete patterns for analysis)
o PCA/ ICA/Microstate
* Step 2: Marking up the analysis results
o Each pattern is annotated with labels that relate pattern attributes to NEMO ontology concepts
* Step 3: Clustering the observed patterns within and across experimental groups
* Step 4: Labeling the cross-experiment clusters
Each item in the above list is a step/phase in the processing pipeline and is associated with a set of matlab scripts in our NEMO ERP Analysis Toolkit, which is implemented by a collection of MATLAB scripts.
nif-0000-32929
Resource:NEMO Analysis Toolkit
2011-06-01T00:00:00
NEMO ERP Analysis Toolkit
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University of Oregon; Oregon; USA
Is part of
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Software toolkit
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Definition
DefiningCitation