Title :
MOS circuit for nonlinear Hebbian learning
Author :
Cohen, M.H. ; Andreau, A.C.
Author_Institution :
John Hopkins Univ.,Baltimore, MD, USA
fDate :
3/12/1992 12:00:00 AM
Abstract :
An analogue MOS circuit that implements a nonlinear Hebbian learning rule is presented. The circuit has two differential inputs (voltages) and yields an output (current) which approximates the product of a cubic and a hyperbolic tangent function of the two input voltages. This has been successfully incorporated in an analogue integrated circuit implementation of the Herault-Jutten neuromorphic network.
Keywords :
MOS integrated circuits; linear integrated circuits; multiplying circuits; neural nets; Herault-Jutten neuromorphic network; analogue MOS circuit; analogue integrated circuit; circuit diagram; cubic function; differential inputs; hyperbolic tangent function; multiplying circuits; nonlinear Hebbian learning rule; two input voltages;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19920372
