CNN cell with memcapacitive synapses and threshold control circuit

J. Flak
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引用次数: 3

Abstract

This paper presents a concept of a solid-state memcapacitor based on a combination of memristor and capacitor, as well as its applications to cellular nanoscale networks. In addition to ultra-dense memories, memcapacitors can also be used for synaptic connections and threshold control in arrays with capacitively coupled processing units. In principle, the proposed CNN cell structure implements the basic McCulloch-Pitts neuron model. Although the cell relies on the binary programmability scheme with single-bit template coefficients, the proposed memcapacitive synapses allow for asynchronous processing of tasks, for which the traditional cloning templates contain both positive and negative values.
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具有记忆电容突触和阈值控制电路的CNN细胞
本文提出了一种基于忆阻器和电容相结合的固态记忆电容的概念,以及其在细胞纳米网络中的应用。除了超密集存储器,memcapacitors也可用于突触连接和阈值控制与电容耦合处理单元阵列。原则上,本文提出的CNN细胞结构实现了基本的McCulloch-Pitts神经元模型。尽管细胞依赖于具有单位模板系数的二进制可编程性方案,但所提出的记忆电容突触允许异步处理任务,而传统的克隆模板包含正负值。
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