Neuroscience, Neural Networks, Cognitive Science, Manifold Learning, Deep Learning.
period using dimensionality reduction techniques like Principal Component Analysis (PCA) and Factor Analysis on the neural activity. The output of these algorithms was a lower-dimension space that explained ‘where’ most (or all) of the data lies — the intrinsic manifold! Experimental Manipulation