File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/TCDS.2022.3205033
- Scopus: eid_2-s2.0-85137869749
- WOS: WOS:001089186500025
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Design and Application of Biomimetic Memory Circuit Based on Hippocampus Mechanism
Title | Design and Application of Biomimetic Memory Circuit Based on Hippocampus Mechanism |
---|---|
Authors | |
Keywords | Biological system modeling Biomembranes bionic circuit design Hardware Hippocampus Hippocampus Integrated circuit modeling Mathematical models memory and learning memristor Memristors |
Issue Date | 8-Sep-2022 |
Publisher | Institute 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 Identifier | http://hdl.handle.net/10722/340966 |
ISSN | 2023 Impact Factor: 5.0 2023 SCImago Journal Rankings: 1.302 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, Hegan | - |
dc.contributor.author | Hong, Qinghui | - |
dc.contributor.author | Liu, Wenqi | - |
dc.contributor.author | Wang, Zhongrui | - |
dc.contributor.author | Zhang, Jiliang | - |
dc.date.accessioned | 2024-03-11T10:48:40Z | - |
dc.date.available | 2024-03-11T10:48:40Z | - |
dc.date.issued | 2022-09-08 | - |
dc.identifier.citation | IEEE Transactions on Cognitive and Developmental Systems, 2023, v. 15 | - |
dc.identifier.issn | 2379-8920 | - |
dc.identifier.uri | http://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.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.relation.ispartof | IEEE Transactions on Cognitive and Developmental Systems | - |
dc.subject | Biological system modeling | - |
dc.subject | Biomembranes | - |
dc.subject | bionic circuit design | - |
dc.subject | Hardware | - |
dc.subject | Hippocampus | - |
dc.subject | Hippocampus | - |
dc.subject | Integrated circuit modeling | - |
dc.subject | Mathematical models | - |
dc.subject | memory and learning | - |
dc.subject | memristor | - |
dc.subject | Memristors | - |
dc.title | Design and Application of Biomimetic Memory Circuit Based on Hippocampus Mechanism | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/TCDS.2022.3205033 | - |
dc.identifier.scopus | eid_2-s2.0-85137869749 | - |
dc.identifier.volume | 15 | - |
dc.identifier.eissn | 2379-8939 | - |
dc.identifier.isi | WOS:001089186500025 | - |
dc.identifier.issnl | 2379-8920 | - |