Reservoir computing designs recurrent networks that simultaneously buffer inputs and form nonlinear features. Here, authors propose a configurable scheme with better scaling where memory buffer and nonlinear features are in separate circuits. It can be efficiently implemented in neuromorphic hardware.
- Denis Kleyko
- Christopher J. Kymn
- E. Paxon Frady
