Invention Grant
- Patent Title: Memristive neuromorphic circuit and method for training the memristive neuromorphic circuit
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Application No.: US14797266Application Date: 2015-07-13
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Publication No.: US10074050B2Publication Date: 2018-09-11
- Inventor: Irina Kataeva , Dmitri B. Strukov , Farnood Merrikh-Bayat
- Applicant: DENSO CORPORATION , The Regents of the University of California
- Applicant Address: JP Kariya US CA Oakland
- Assignee: DENSO CORPORATION,The Regents of the University of California
- Current Assignee: DENSO CORPORATION,The Regents of the University of California
- Current Assignee Address: JP Kariya US CA Oakland
- Agency: Posz Law Group, PLC
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/063

Abstract:
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.
Public/Granted literature
- US20170017877A1 MEMRISTIVE NEUROMORPHIC CIRCUIT AND METHOD FOR TRAINING THE MEMRISTIVE NEUROMORPHIC CIRCUIT Public/Granted day:2017-01-19
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