横杆开关
记忆电阻器
计算机科学
内容寻址存储器
结合属性
记忆晶体管
人工神经网络
计算机硬件
人工智能
电阻随机存取存储器
电子工程
电气工程
数学
工程类
电压
电信
纯数学
作者
Le Yang,Zhixia Ding,Zhigang Zeng
标识
DOI:10.1016/j.aeue.2022.154472
摘要
Pavlov associative memory is an important learning style of biologies to correlate input stimuli. Memristor crossbar-based circuits occupy the low manufacture burden. Based on the circuit structure of memristor crossbar array and the Pavlov associative memory mechanism, this paper proposes a memristor crossbar-based Pavlov associative memory network to realize dynamic information correlation. First, a novel synaptic circuit which consists of four MOS transistors and one memristor is proposed to act as the cell in the memristor crossbar array. Then, the memristor crossbar-based neuron circuit is designed for the construction of the memristor crossbar-based Pavlov associative memory network. Relying on associative learning, the correlations between the input stimuli are formed to store correlation information values in the memristor crossbar-based Pavlov associative memory network. Next, the stored correlation information can be read out when inputting the single stimulus. Additionally, the memristor crossbar-based Pavlov associative memory network has the forgetting process along with time to update the stored correlation information dynamically. A case study of the proposed Pavlov associative memory network circuit is implemented to realize fruit correlation information store, which proves that the proposed circuit can accomplish information correlation effectively. The proposed Pavlov associative memory network circuit has the potential to be applied in the human–computer interaction system.
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