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MatClassRSA: A Matlab toolbox for M/EEG classification and visualization of proximity matrices

Bernard C. Wang, Anthony M. Norcia, Blair Kaneshiro
doi: https://doi.org/10.1101/194563
Bernard C. Wang
Stanford University
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Anthony M. Norcia
Stanford University
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Blair Kaneshiro
Stanford University
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  • For correspondence: blairbo@gmail.com
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Abstract

MatClassRSA is a Matlab toolbox that performs M/EEG classification and produces various visualizations of the resulting confusion matrices. This toolbox is aimed toward cognitive neuroscience researchers who wish to apply classification-style analyses to repeated trials of data. The functionalities of the toolbox fall into three categories: (1) M/EEG classification, (2) computation of Representational Dissimilarity Matrices (RDMs) from confusion or other proximity matrices, and (3) clustering and tree visualizations of RDMs. MatClassRSA combines out-of-the-box functionality with a variety of customization options. Usage of the toolbox requires only a high-level understanding of machine learning and the ability to call Matlab functions from scripts.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted September 27, 2017.
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MatClassRSA: A Matlab toolbox for M/EEG classification and visualization of proximity matrices
Bernard C. Wang, Anthony M. Norcia, Blair Kaneshiro
bioRxiv 194563; doi: https://doi.org/10.1101/194563
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MatClassRSA: A Matlab toolbox for M/EEG classification and visualization of proximity matrices
Bernard C. Wang, Anthony M. Norcia, Blair Kaneshiro
bioRxiv 194563; doi: https://doi.org/10.1101/194563

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