Optical Bio-Inspired Synaptic Devices [PDF]
NanomaterialsThe traditional computer with von Neumann architecture has the characteristics of separate storage and computing units, which leads to sizeable time and energy consumption in the process of data transmission, which is also the famous “von Neumann storage
Pengcheng Li +11 more
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Natural Organic Materials Based Memristors and Transistors for Artificial Synaptic Devices in Sustainable Neuromorphic Computing Systems [PDF]
Micromachines, 2023 Natural organic materials such as protein and carbohydrates are abundant in nature, renewable, and biodegradable, desirable for the construction of artificial synaptic devices for emerging neuromorphic computing systems with energy efficient operation ...
Md Mehedi Hasan Tanim +2 more
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Ion-Driven Electrochemical Random-Access Memory-Based Synaptic Devices for Neuromorphic Computing Systems: A Mini-Review [PDF]
Micromachines, 2022 To enhance the computing efficiency in a neuromorphic architecture, it is important to develop suitable memory devices that can emulate the role of biological synapses.
Heebum Kang +7 more
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Optoelectronic Synaptic Devices for Neuromorphic Computing [PDF]
Advanced Intelligent Systems, 2021 Neuromorphic computing can potentially solve the von Neumann bottleneck of current mainstream computing because it excels at self‐adaptive learning and highly parallel computing and consumes much less energy.
Yue Wang +7 more
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Perovskite-Enhanced Silicon-Nanocrystal Optoelectronic Synaptic Devices for the Simulation of Biased and Correlated Random-Walk Learning [PDF]
Research, 2020 Silicon- (Si-) based optoelectronic synaptic devices mimicking biological synaptic functionalities may be critical to the development of large-scale integrated optoelectronic artificial neural networks.
Yiyue Zhu +6 more
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Spike Optimization to Improve Properties of Ferroelectric Tunnel Junction Synaptic Devices for Neuromorphic Computing System Applications [PDF]
Nanomaterials, 2023 The continuous advancement of Artificial Intelligence (AI) technology depends on the efficient processing of unstructured data, encompassing text, speech, and video.
Jisu Byun +10 more
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Nanowire-based synaptic devices for neuromorphic computing
Materials Futures, 2023 The traditional von Neumann structure computers cannot meet the demands of high-speed big data processing; therefore, neuromorphic computing has received a lot of interest in recent years.
Xue Chen +5 more
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Memristive Artificial Synapses for Neuromorphic Computing
Nano-Micro Letters, 2021 Neuromorphic computing simulates the operation of biological brain function for information processing and can potentially solve the bottleneck of the von Neumann architecture.
Wen Huang +8 more
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Manufacturing of graphene based synaptic devices for optoelectronic applications
International Journal of Extreme Manufacturing, 2023 Neuromorphic computing systems can perform memory and computing tasks in parallel on artificial synaptic devices through simulating synaptic functions, which is promising for breaking the conventional von Neumann bottlenecks at hardware level. Artificial
Kui Zhou +10 more
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Light-Emitting Artificial Synapses for Neuromorphic Computing
Research, 2022 As the key connecting points in the neuromorphic computing systems, synaptic devices have been investigated substantially in recent years. Developing optoelectronic synaptic devices with optical outputs is becoming attractive due to many benefits of ...
Chen Zhu +4 more
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