Comparison of feature selection methods for robust dexterous decoding of finger movements from the primary motor cortex of a non-human primate using support vector machine

Robust and stable decoding of neural signals is imperative for implementing a useful neuroprosthesis capable of carrying out dexterous tasks. A nonhuman primate (NHP) was trained to perform combined flexions of the thumb, index and middle fingers in addition to individual flexions and extensions of the same digits.