1 code implementation • NeurIPS 2019 • Ben Sorscher, Gabriel Mel, Surya Ganguli, Samuel Ocko
This theory provides insight into the optimal solutions of diverse formulations of the normative task, and shows that symmetries in the representation of space correctly predict the structure of learned firing fields in trained neural networks.
no code implementations • NeurIPS 2018 • Samuel Ocko, Jack Lindsey, Surya Ganguli, Stephane Deny
Also, we train a nonlinear encoding model with a rectifying nonlinearity to efficiently encode naturalistic movies, and again find emergent receptive fields resembling those of midget and parasol cells that are now further subdivided into ON and OFF types.
