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Article: Design and Application of Biomimetic Memory Circuit Based on Hippocampus Mechanism

TitleDesign and Application of Biomimetic Memory Circuit Based on Hippocampus Mechanism
Authors
KeywordsBiological system modeling
Biomembranes
bionic circuit design
Hardware
Hippocampus
Hippocampus
Integrated circuit modeling
Mathematical models
memory and learning
memristor
Memristors
Issue Date8-Sep-2022
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Cognitive and Developmental Systems, 2023, v. 15 How to Cite?
Abstract

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.


Persistent Identifierhttp://hdl.handle.net/10722/340966
ISSN
2023 Impact Factor: 5.0
2023 SCImago Journal Rankings: 1.302
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, Hegan-
dc.contributor.authorHong, Qinghui-
dc.contributor.authorLiu, Wenqi-
dc.contributor.authorWang, Zhongrui-
dc.contributor.authorZhang, Jiliang -
dc.date.accessioned2024-03-11T10:48:40Z-
dc.date.available2024-03-11T10:48:40Z-
dc.date.issued2022-09-08-
dc.identifier.citationIEEE Transactions on Cognitive and Developmental Systems, 2023, v. 15-
dc.identifier.issn2379-8920-
dc.identifier.urihttp://hdl.handle.net/10722/340966-
dc.description.abstract<p>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.<br></p>-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Transactions on Cognitive and Developmental Systems-
dc.subjectBiological system modeling-
dc.subjectBiomembranes-
dc.subjectbionic circuit design-
dc.subjectHardware-
dc.subjectHippocampus-
dc.subjectHippocampus-
dc.subjectIntegrated circuit modeling-
dc.subjectMathematical models-
dc.subjectmemory and learning-
dc.subjectmemristor-
dc.subjectMemristors-
dc.titleDesign and Application of Biomimetic Memory Circuit Based on Hippocampus Mechanism-
dc.typeArticle-
dc.identifier.doi10.1109/TCDS.2022.3205033-
dc.identifier.scopuseid_2-s2.0-85137869749-
dc.identifier.volume15-
dc.identifier.eissn2379-8939-
dc.identifier.isiWOS:001089186500025-
dc.identifier.issnl2379-8920-

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