Winning the lottery with neural connectivity constraints: faster learning across cognitive tasks with spatially constrained sparse RNNs

Mikail Khona, Sarthak Chandra, Joy J. Ma +1

Recurrent neural networks (RNNs) are often used to model circuits in the brain, and can solve a variety of difficult computational problems requiring memory, error-correction, or s…