| 发明名称 |
MEMRISTIVE NEUROMORPHIC CIRCUIT AND METHOD FOR TRAINING THE MEMRISTIVE NEUROMORPHIC CIRCUIT |
| 摘要 |
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. |
| 申请公布号 |
US2017017877(A1) |
申请公布日期 |
2017.01.19 |
| 申请号 |
US201514797266 |
申请日期 |
2015.07.13 |
| 申请人 |
DENSO CORPORATION ;The Regents of the University of California |
发明人 |
KATAEVA Irina;STRUKOV Dmitri B.;MERRIKH-BAYAT Farnood |
| 分类号 |
G06N3/063;G06N3/08 |
主分类号 |
G06N3/063 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A method for training a memristive neuromorphic circuit, the method comprising:
providing a conductance balanced voltage pair that includes a set voltage and a reset voltage, wherein either the set voltage and the reset voltage, when applied to a memristive device that is connected to a neuron circuit, effects a substantially same magnitude conductance change in the memristive device over a predetermined range of conductance of the memristive device; storing the provided voltage pair as a conductance balanced map; and applying, based on the conductance balanced map, a training voltage to the memristive device. |
| 地址 |
Kariya-city JP |
