Author:
Wang Bernard C.,Norcia Anthony M.,Kaneshiro Blair
Abstract
AbstractMatClassRSA 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.
Publisher
Cold Spring Harbor Laboratory
Reference42 articles.
1. T. Hastie , R. Tibshirani , J. Friedman , The Elements of Statistical Learning, 2nd Edition, Springer, 2009.
2. Introduction to machine learning for brain imaging
3. Encoding and decoding in fMRI
4. B. Blankertz , G. Curio , K. R. Müller , Classifying single trial EEG: Towards brain computer interfacing, in: Advances in Neural Information Processing Systems, 2002, pp. 157–164.
5. Motor imagery and direct brain-computer communication
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献