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MEMRISTIVE NEUROMORPHIC CIRCUIT AND METHOD FOR TRAINING THE MEMRISTIVE NEUROMORPHIC CIRCUIT

机译:记忆神经形态电路和训练记忆神经形态电路的方法

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.
机译:神经网络被实现为忆阻神经形态电路,其包括神经元电路和连接至神经元电路的忆阻设备。为忆阻器件提供了电导平衡电压对,其中,电导平衡电压对包括用于增加忆阻器件的电导的设定电压和用于降低忆阻器件的电导的复位电压。当设置电压和复位电压施加到忆阻器件上时,在忆阻器件的预定电导范围内,忆阻器件中的电导变化基本上相同。所提供的电压对存储为电导平衡图。将基于电导平衡图的训练电压应用于忆阻设备以训练神经网络。

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