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Neuromorphic Neuron Apparatus For Artificial Neural Networks

机译:人工神经网络的神经形态神经元设备

摘要

A neuromorphic neuron apparatus includes an accumulation block and an output generation block. The apparatus has a current state variable corresponding to previously received one or more signals. The output generation block is configured to use an activation function for generating a current output value based on the current state variable. The accumulation block is configured to repeatedly: compute an adjustment of the current state variable using the current output value and a correction function indicative of a decay behaviour of a time constant of the apparatus; receive a current signal; update the current state variable using the computed adjustment and the received signal, the updated state variable becoming the current state variable; and cause the output generation block to generate a current output value based on the current state variable.
机译:神经形态神经元设备包括累积块和输出产生块。该设备具有对应于先前接收到的一个或多个信号的当前状态变量。输出生成块被配置为使用激活函数,用于基于当前状态变量来生成当前输出值。累积块被配置为重复:使用当前输出值和指示设备的时间常数的衰减行为的校正函数来计算当前状态变量的调整;以及接收电流信号;使用计算出的调整量和接收信号来更新当前状态变量,更新后的状态变量成为当前状态变量;并使得输出生成块基于当前状态变量生成当前输出值。

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