Ronen Feldman, Martin Charles Golumbic
Ann. Math. Artif. Intell.
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.
Ronen Feldman, Martin Charles Golumbic
Ann. Math. Artif. Intell.
Yehuda Naveli, Michal Rimon, et al.
AAAI/IAAI 2006
Gaku Yamamoto, Hideki Tai, et al.
AAMAS 2008
Vicki L Hanson, Edward H Lichtenstein
Cognitive Psychology