计算机科学
海马体
情景记忆
记忆电阻器
外显记忆
神经科学
电子工程
认知
心理学
工程类
作者
Hegan Chen,Qinghui Hong,Wenqi Liu,Zhongrui Wang,Jiliang Zhang
出处
期刊:IEEE Transactions on Cognitive and Developmental Systems
[Institute of Electrical and Electronics Engineers]
日期:2023-09-01
卷期号:15 (3): 1289-1300
被引量:2
标识
DOI:10.1109/tcds.2022.3205033
摘要
Hippocampus, a special neuroanatomical structures, has been a realistic research model for the storage and retrieval of short-term and long-term memory. This article proposes a mathematic hippocampus model and bionic memory circuit which not only emulates the memory generation but also realizes the transformation from low to high-level memory. Based on the interior connections of the hippocampus, the proposed circuit reconstructs an episodic memory processing model and achieves the functions of multilevel memory generation. Memristor plays a vital role in imitating the plasticity of synapses in hippocampus recurrence, and its characteristics of switching dynamics are applied for controlling multilevel memory generation. Leveraging the proposed circuit, we propose a multilevel memorial generation system which has the capacities of perception quantification, memorial generation, and comprised the following: 1) receiver module; 2) quantitative module; 3) three-layer hippocampus memory circuit; and 4) memory generation module. The simulation results in PSpice indicate that the application of the model can quantize the episodic memory, afterward processing it by a three-layer hippocampus memory circuit to generate the multilevel memory. Moreover, this work paves the way for the memorial architecture in robotics by emulating the hippocampus memory principle.
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