AIMC Topic: Evoked Potentials, Somatosensory

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Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier.

Biomedizinische Technik. Biomedical engineering Feb 1, 2016
There is general agreement in the brain-computer interface (BCI) community that although non-linear classifiers can provide better results in some cases, linear classifiers are preferable. Particularly, as non-linear classifiers often involve a numbe...
Humans Machine Learning Algorithms Computer Simulation Female Reproducibility of Results Young Adult Adult Sensitivity and Specificity Male Discriminant Analysis Nonlinear Dynamics Pattern Recognition, Automated Brain-Computer Interfaces Oscillometry Evoked Potentials, Motor Imagination Evoked Potentials, Somatosensory Sensorimotor Cortex
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