CURRENT-MODE BASED ANALOG CIRCUITS FOR SYNTHETIC NEURAL SYSTEMS

Patent №

US 5,206,541

Granted

1993-04-27

Filed 1991

Owner

JOHNS HOPKINS UNIVERSITY, THE A CORPORATION OF MD

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

07693310

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.

AI classification

AI hardware1.00
Machine learning1.00
Vision0.00
Natural language0.00
Evolutionary computation0.00
Speech0.00
Planning0.00
Knowledge representation0.00

Ownership

JOHNS HOPKINS UNIVERSITY, THE A CORPORATION OF MD

assignment · 57840332

Assignors

BOAHEN, KWABENA A., ANDREOU, ANDREAS G., POULIQUEN, PHILIPPE O., JENKINS, ROBERT E.

On an employer assignment, the assignors are typically the inventors.

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