Structured flexibility in recurrent neural networks via neuromodulation
Julia C. Costacurta, Shaunak Bhandarkar, David M. Zoltowski, Scott W. Linderman
This paper introduces a neuromodulated RNN model that uses synaptic gain scaling to improve training and generalization on canonical tasks, and shows how it implements gating mechanisms found in artificial RNNs.
neural information processing systems · Jan 1, 2024Peer-reviewedNeuroscience