Neuroscience, Neural Networks, Cognitive Science, Manifold Learning, Deep Learning.
similarities with its living counterparts. This could mean that the representations within an ANN could reside within a manifold rather than a n-dimensional space (where n is the number of neural units). The manifold hypothesis for artificial neural data could explain why some networks are better