MEMRISTIVE NEUROMORPHIC CIRCUIT AND METHOD FOR TRAINING THE MEMRISTIVE NEUROMORPHIC CIRCUIT

Patent №

US 10,074,050

Granted

2018-09-11

Filed 2015

Owner

DENSO CORPORATION

+1 more

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14797266

A neural network is implemented as a memristive neuromorphic circuit that includes a neuron circuit and a memristive device connected to the neuron circuit. A conductance balanced voltage pair is provided for the memristive device, where the conductance balanced voltage pair includes a set voltage for increasing the conductance of the memristive device and a reset voltage for decreasing the conductance of the memristive device. Either the set voltage and reset voltage, when applied to the memristive device, effects a substantially same magnitude conductance change in the memristive device over a predetermined range of conductance of the memristive device. The provided voltage pair is stored as a conductance balanced map. A training voltage based on the conductance balanced map is applied to the memristive device to train the neural network.

Machine learningAI hardwareG06N 3/065G06N 3/0499G06N 3/08G06N 3/09G06N 3/084

AI classification

Machine learning1.00
AI hardware1.00
Evolutionary computation0.03
Natural language0.00
Knowledge representation0.00
Speech0.00
Vision0.00
Planning0.00

Ownership

DENSO CORPORATION

assignment · 362770001

THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

assignment · 362770001

Assignors

KATAEVA, IRINA, STRUKOV, DMITRI B., MERRIKH-BAYAT, FARNOOD

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

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