Erik Altman, Jovan Blanusa, et al.
NeurIPS 2023
We propose a new neural network structure that is compatible with silicon technology. This network has the feature that the learning parameter is embodied in the thresholds of MOSFET devices and is local in character. The network is shown to be capable of forming associations by example as well as exhibiting the desirable features of the Hopfield type networks. © 1989.
Erik Altman, Jovan Blanusa, et al.
NeurIPS 2023
Alain Vaucher, Philippe Schwaller, et al.
AMLD EPFL 2022
Dzung Phan, Vinicius Lima
INFORMS 2023
Ronen Feldman, Martin Charles Golumbic
Ann. Math. Artif. Intell.