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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. An input voltage is sensed at a first terminal of a memristive device during a feedforward operation of the neural network. An error voltage is sensed at a second terminal of the memristive device during an error backpropagation operation of the neural network. In accordance with a training rule, a desired conductance change for the memristive device is computed based on the sensed input voltage and the sensed error voltage. Then a training voltage is applied to the memristive device. Here, the training voltage is proportional to a logarithmic value of the desired conductance change.
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。在神经网络的前馈操作期间,在忆阻装置的第一端子处感测输入电压。在神经网络的错误反向传播操作期间,在忆阻器件的第二端子处感测到错误电压。根据训练规则,基于感测到的输入电压和感测到的误差电压来计算忆阻器件的期望电导变化。然后,将训练电压施加到忆阻器件。在此,训练电压与期望的电导率变化的对数值成比例。

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