Natural gradient enables fast sampling in spiking neural networks
Paul Masset, Jacob A. Zavatone-Veth, J. Patrick Connor, Venkatesh N. Murthy, Cengiz Pehlevan
This paper shows how natural gradient methods can enable fast sampling in spiking neural networks by leveraging population geometry for probabilistic inference.
neural information processing systems · Jan 1, 2022Peer-reviewedNeuroscience