Nano-Micro Letters, Volume. 16, Issue 1, 238(2024)

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

Dayanand Kumar1、†, Hanrui Li1、†, Dhananjay D. Kumbhar, Manoj Kumar Rajbhar, Uttam Kumar Das, Abdul Momin Syed, Georgian Melinte, and Nazek El-Atab*
Author Affiliations
  • Smart, Advanced Memory Devices and Applications (SAMA) Laboratory, Electrical and Computer Engineering, Computer Electrical Mathematical Science and Engineering, King Abdullah University of Science and Technology (KAUST), 23955-6900 Thuwal, Saudi Arabia
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    The emergence of the Internet-of-Things is anticipated to create a vast market for what are known as smart edge devices, opening numerous opportunities across countless domains, including personalized healthcare and advanced robotics. Leveraging 3D integration, edge devices can achieve unprecedented miniaturization while simultaneously boosting processing power and minimizing energy consumption. Here, we demonstrate a back-end-of-line compatible optoelectronic synapse with a transfer learning method on health care applications, including electroencephalogram (EEG)-based seizure prediction, electromyography (EMG)-based gesture recognition, and electrocardiogram (ECG)-based arrhythmia detection. With experiments on three biomedical datasets, we observe the classification accuracy improvement for the pretrained model with 2.93% on EEG, 4.90% on ECG, and 7.92% on EMG, respectively. The optical programming property of the device enables an ultra-low power (2.8 × 10-13 J) fine-tuning process and offers solutions for patient-specific issues in edge computing scenarios. Moreover, the device exhibits impressive light-sensitive characteristics that enable a range of light-triggered synaptic functions, making it promising for neuromorphic vision application. To display the benefits of these intricate synaptic properties, a 5 × 5 optoelectronic synapse array is developed, effectively simulating human visual perception and memory functions. The proposed flexible optoelectronic synapse holds immense potential for advancing the fields of neuromorphic physiological signal processing and artificial visual systems in wearable applications.

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    Dayanand Kumar, Hanrui Li, Dhananjay D. Kumbhar, Manoj Kumar Rajbhar, Uttam Kumar Das, Abdul Momin Syed, Georgian Melinte, Nazek El-Atab. Highly Efficient Back-End-of-Line Compatible Flexible Si-Based Optical Memristive Crossbar Array for Edge Neuromorphic Physiological Signal Processing and Bionic Machine Vision[J]. Nano-Micro Letters, 2024, 16(1): 238

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    Paper Information

    Category: Research Articles

    Received: Apr. 1, 2024

    Accepted: Jun. 11, 2024

    Published Online: Jan. 23, 2025

    The Author Email: El-Atab Nazek (nazek.elatab@kaust.edu.sa)

    DOI:10.1007/s40820-024-01456-8

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