Electrical transmission or interconnection systems – Nonlinear reactor systems – Parametrons
Patent
1991-04-30
1993-04-27
Hudspeth, David R.
Electrical transmission or interconnection systems
Nonlinear reactor systems
Parametrons
307494, 395 21, G06G 712
Patent
active
052065413
ABSTRACT:
A two transistor current-controlled current conveyor (C4) circuit is provided which exploits the translinear properties of the MOS transistor in subthreshold and uses unidirectional current signals. As a result, the circuits of the invention achieve high functionality and integration density with very low power dissipation. Two C4 circuits connected to and communicating through a bidirectional junction circuit of the invention permit the transmission of independent, bidirectional signals. These circuits are useful for implementing synthetic neural systems such as associative memories and silicon retinas, such as winner-takes-all and pyramidal neuron circuits and the outer-plexiform layer of a retina.
REFERENCES:
patent: 3471712 (1969-10-01), Tomozawa et al.
patent: 4874963 (1989-10-01), Alspector
patent: 4950917 (1990-08-01), Holler et al.
patent: 5040134 (1991-08-01), Park
patent: 5059814 (1991-10-01), Mead et al.
Andreou, A. G., et al, "Current-Mode Subthreshold MOS Circuits for Analog VLSI Neural Systems", Mar. 1991, IEEE Trans. Neural Networks.
Cohen, M. H. et al, "Silicon VLSI Implementation of an Auto-Adaptive Network for the Real-Time Separation of Independent Signal Sources", Mar. 21, 1991, Proceedings 25th Annual Conference on Information Sciences & Systems.
Boahen, K. A., et al, "A Heteroassociative Memory Using Current-Mode MOS Analog VLSI Circuits", May 1989, IEEE Trans. Circuits and Systems.
Andreou, A. G., et al, "Synthetic Neural Circuits Using Current-Domain Signal Representations", 1989, Neural Computation.
Andreou Andreas G.
Boahen Kwabena A.
Jenkins Robert E.
Pouliquen Philippe O.
Cooch Francis A.
Hudspeth David R.
The Johns Hopkins University
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