SVM classification of visual cortex neural data from attention-blind stroke patients

Executed a complete human subject study:

  1. Designing experimental protocol including visual psychological tasks,

  2. Recruiting stroke patients with visual attention deficits and healthy control subjects

  3. Classifying brain activity using various multivariate pattern classifiers ( i.e. SVM)

  4. Statistical testing of research hypotheses using SPSS (ANOVA)

Techniques : Psychtoolbox, Python, libSVM, BrainVoyager, medical record review, SPSS

Machine learning