Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks

A foundational principle of connectionism is that perception, action, and cognition emerge from parallel computations among simple, interconnected units that generate and rely on neural representations. Accordingly, researchers employ multivariate pattern analysis to decode and compare the neural co