The central idea of projecting the neural data onto a lower…
The central idea of projecting the neural data onto a lower dimensional space (e.g. principal component analysis) is to reduce the dimensionality of a data set consisting of a large number of interrelated variables, while retaining as much as possible of the variation present that could be attributed to the stimulus that evoked this neural activity.