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europepmc
2025
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2026
置信度 0.80
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Threshold-switching memristors (TSMs) are emerging as key enablers for hardware spiking neural networks, offering intrinsic spiking dynamics, sub-pJ energy consumption, and nanoscale footprints ideal for brain-inspired computing at the edge. This review provid…
europepmc
Xiangjing Wang, Yixin Zhu, Zili Zhou, Xin Chen 等
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
Sanghyeon Choi, Sai Sukruth Bezugam, Tinish Bhattacharya, Dongseok Kwon 等
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2024
置信度 0.80
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europepmc
2024
置信度 0.80
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Drawing inspiration from biological brain's energy-efficient information-processing mechanisms, photonic integrated circuits (PIC) have facilitated the development of ultrafast artificial neural networks. This in turn is envisaged to offer potential solut…
preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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Neuromorphic computing has attracted great attention for its massive parallelism and high energy efficiency. As the fundamental components of neuromorphic computing systems, artificial neurons play a key role in information processing. However, the development…
europepmc
Wenjie Li, Shan Tan, Zhen Fan, Zhiwei Chen 等
2024
置信度 0.80
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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Abstract It is high time that brain-inspired or neuromorphic computing must have enough concentration to grow and overcome the computational barrier, which will mimic the biological neuron cell, and its computational abilities will be applied from the neurosci…
preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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Abstract Neuromorphic computing has attracted great attention for its massive parallelism and high energy efficiency. As the fundamental components of neuromorphic computing systems, artificial neurons play a key role in information processing. However, the de…
europepmc
Zhen Fan, Wenjie Li, Tan Shan, Zhiwei Chen 等
2024
置信度 0.80
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Simultaneous Localization and Mapping (SLAM) is a crucial function for most autonomous systems, allowing them to both navigate through and create maps of unfamiliar surroundings. Traditional Visual SLAM, also commonly known as VSLAM, relies on frame-based came…
preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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Artificial intelligence (AI) systems of autonomous systems such as drones, robots and self-driving cars may consume up to 50% of total power available onboard, thereby limiting the vehicle’s range of functions and considerably reducing the distance the vehicle…
preprints
2024
置信度 0.74
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Abstract Photoresponsivity studies of wide-bandgap oxide-based devices have emerged as a vibrant and popular research area. Researchers have explored various material systems in their quest to develop devices capable of responding to illumination. In this stud…
preprints
Dayanand Kumar, Hanrui Li, Amit Singh, Manoj Kumar Rajbhar 等
2024
置信度 0.74
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This article presents a novel computational approach to visualizing memristor dynamics within a simulated neural network. Memristors, known for their ability to emulate synaptic plasticity due to their variable resistance characteristics, are key components in…
europepmc
2024
置信度 0.80
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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europepmc
2024
置信度 0.80
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preprints
2024
置信度 0.74
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europepmc
2024
置信度 0.80
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Amyloid self-assembled from amyloid peptides βΑ40 or βΑ42 is notorious for its neurotoxic effects in plaque and neurofibrillary tangle formations leading to neuron dysfunction and diseases of cognitive decline (e.g. Alzheimer’s, Parkinson’s and Huntington&…
preprints
James Melrose, Margaret M Smith
2024
置信度 0.74
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Analog neuromorphic prototyping is crucial for creating spiking neuron models that use memristive devices as synapses to design integrated circuits that leverage on-chip parallel deep neural networks. These models mimic how biological neurons in the brain comm…
preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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Abstract Federated learning combined with Spiking Neural Networks (SNNs) provides a reliable and lightweight solution for privacy and energy constraints in billions of edge devices. However, the current rate-coding in SNNs has high latency and leads to increas…
preprints
Rui Yang, Zhiyuan Li, Jiaping Yao, Beining Zhang 等
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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Abstract Spintronic devices offer a promising avenue for the development of nanoscale, energy-efficient artificial neurons for neuromorphic computing. It has previously been shown that with antiferromagnetic (AFM) oscillators, ultra-fast spiking artificial neu…
preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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europepmc
2024
置信度 0.80
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preprints
2024
置信度 0.74
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Abstract Spintronic devices, -based on the domain walls and skyrmions, Spintronic devices have shown significant potential for applications in energy-efficient data storage and beyond CMOS computing architectures. Based on the magnetic multilayer spintronic de…
preprints
Aijaz Lone, Meng Tang, Daniel Norouzzadeh Rahimi, xuecui zou 等
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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Adaptive cognition relies on cooperation across anatomically distributed brain circuits. However, specialised neural systems are also in constant competition for limited processing resources. How does the brain's network architecture enable it to balance these…
preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2024
置信度 0.74
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preprints
2023
置信度 0.74
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In the twenty-first century, caring for persons with Dementia's has become extremely difficult due to the prevalence of dementia cases. Using data from the OASIS (Open Access Series of Imaging Studies) program provided by the University of Washington Dementia'…
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2025-11-25T18:26:55Z
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Recently, capacitive memory devices, such as MFM capacitors [1], FeFETs [2], and SONOS capacitors [3], have been explored for capacitive crossbar arrays in compute-in-memory (CIM) applications. Compared to memristors, capacitors reduce static energy costs and …
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Emerging neuromorphic computing offers a promising and energy-efficient approach to developing advanced intelligent systems by mimicking the information processing modes of the human brain. Moreover, inspired by the high parallelism, fault tolerance, adaptabil…
europepmc
Weisheng Wang, Liqiang Zhu
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置信度 0.80
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