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Highly Efficient Back-End-of-Line Compatible Flexible Si-Based Optical Memristive Crossbar Array for Edge Neuromorphic Physiological Signal Processing and Bionic Machine Vision

التفاصيل البيبلوغرافية
العنوان: Highly Efficient Back-End-of-Line Compatible Flexible Si-Based Optical Memristive Crossbar Array for Edge Neuromorphic Physiological Signal Processing and Bionic Machine Vision
المؤلفون: Dayanand Kumar, Hanrui Li, Dhananjay D. Kumbhar, Manoj Kumar Rajbhar, Uttam Kumar Das, Abdul Momin Syed, Georgian Melinte, Nazek El-Atab
المصدر: Nano-Micro Letters, Vol 16, Iss 1, Pp 1-17 (2024)
بيانات النشر: SpringerOpen, 2024.
سنة النشر: 2024
المجموعة: LCC:Technology
مصطلحات موضوعية: Neuromorphic computing, Electrophysiological signal, Artificial vision system, Image recognition, Memristor, Technology
الوصف: Highlights A novel optoelectronic synapse compatible with existing chip technology is demonstrated. This device excels in mimicking memory and learning functions using light, making it ideal for future neuromorphic computing in biomedicine. Our design surpasses previous models with its ability to switch between short-term and long-term memory states using light pulses. Experiments on real-world biomedical data (electroencephalogram, electromyography, electrocardiogram) showed significant improvement in classification accuracy. This highlights the device's potential for advanced physiological signal processing and wearable health monitoring systems.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2311-6706
2150-5551
Relation: https://doaj.org/toc/2311-6706; https://doaj.org/toc/2150-5551
DOI: 10.1007/s40820-024-01456-8
URL الوصول: https://doaj.org/article/ddc261e13c554d3da011dddb8b22ba09
رقم الأكسشن: edsdoj.261e13c554d3da011dddb8b22ba09
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23116706
21505551
DOI:10.1007/s40820-024-01456-8