MOS circuit for nonlinear Hebbian learning

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MOS circuit for nonlinear Hebbian learning

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© The Institution of Electrical Engineers
Published

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 functions of the two input voltages. This has been successfully incorporated in an analogue integrated circuit implementation of the Herault-Jutten neuromorphic network.

Inspec keywords: MOS integrated circuits; linear integrated circuits; neural nets; learning systems

Other keywords: nonlinear Hebbian learning; analogue MOS circuit; differential inputs; Herault-Jutten neuromorphic network; cubic tangent functions; hyperbolic tangent functions

Subjects: Neural nets (circuit implementations); Other MOS integrated circuits; Neural nets (theory); Neural net devices

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