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.
AI classification
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.