دورية أكاديمية
Hybrid CMOS-Memristor synapse circuits for implementing Ca ion-based plasticity model
| العنوان: | Hybrid CMOS-Memristor synapse circuits for implementing Ca ion-based plasticity model |
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| المؤلفون: | Jae Gwang Lim, Sung-jae Park, Sang Min Lee, Yeonjoo Jeong, Jaewook Kim, Suyoun Lee, Jongkil Park, Gyu Weon Hwang, Kyeong-Seok Lee, Seongsik Park, Hyun Jae Jang, Byeong-Kwon Ju, Jong Keuk Park, Inho Kim |
| المصدر: | Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024) |
| بيانات النشر: | Nature Portfolio, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Medicine, Science |
| الوصف: | Abstract Neuromorphic computing research is being actively pursued to address the challenges posed by the need for energy-efficient processing of big data. One of the promising approaches to tackle the challenges is the hardware implementation of spiking neural networks (SNNs) with bio-plausible learning rules. Numerous research works have been done to implement the SNN hardware with different synaptic plasticity rules to emulate human brain operations. While a standard spike-timing-dependent-plasticity (STDP) rule is emulated in many SNN hardware, the various STDP rules found in the biological brain have rarely been implemented in hardware. This study proposes a CMOS-memristor hybrid synapse circuit for the hardware implementation of a Ca ion-based plasticity model to emulate the various STDP curves. The memristor was adopted as a memory device in the CMOS synapse circuit because memristors have been identified as promising candidates for analog non-volatile memory devices in terms of energy efficiency and scalability. The circuit design was divided into four sub-blocks based on biological behavior, exploiting the non-volatile and analog state properties of memristors. The circuit was designed to vary weights using an H-bridge circuit structure and PWM modulation. The various STDP curves have been emulated in one CMOS-memristor hybrid circuit, and furthermore a simple neural network operation was demonstrated for associative learning such as Pavlovian conditioning. The proposed circuit is expected to facilitate large-scale operations for neuromorphic computing through its scale-up. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-024-68359-x |
| URL الوصول: | https://doaj.org/article/7c1fd5f14a854ffd8f69f1e72a65e427 |
| رقم الأكسشن: | edsdoj.7c1fd5f14a854ffd8f69f1e72a65e427 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 20452322 |
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| DOI: | 10.1038/s41598-024-68359-x |