Protocol for extracting and evaluating activity distributions in rat electrocorticograms with principal component analysis and k-nearest neighbor
Principal component analysis (PCA) and k-nearest neighbor (kNN) can be applied to extract and compare activity distributions from electrocorticogram (ECoG) signals across recorded neural activity. Here, we present a protocol for recording ECoG activity from the neocortex of rats and applying PCA and kNN on the recorded data. This protocol allows for comparison between different types of cortical a
