神经形态系统抑制操作的实施

Jeong-Jun Lee, M. Kwon, Hyungjin Kim, Sungmin Hwang, Byung-Gook Park
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引用次数: 0

摘要

在人工智能硬件实现的神经形态系统中,突触-神经元连接的抑制部分是必不可少的。首先,当系统以赢者通吃的方式运行时,需要一个横向抑制来允许一个神经元放电,从而防止其他神经元放电。此外,为了实现负权,必须伴随着抑制部分,即减去信号的作用。因此,本文提出了一种用于横向抑制和负权重的简单抑制部件结构,并通过仿真进行了验证。
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Implementation of inhibitory operation in neuromorphic system
An inhibition part of synapse-neuron connection is indispensable in a neuromorphic system for hardware implementation of artificial intelligence. First, when the system operates with the winner takes all method, a lateral inhibition is required to permit one neuron firing, thereby preventing other neurons from firing. In addition, in order to implement the negative weight, an inhibition part, which is the role of subtracting the signal, must be accompanied. Therefore, in this paper, the structure of a simple inhibition part for lateral inhibition and negative weight is presented and it is verified by simulation.
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