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Multimodal Artificial Synapses for Neuromorphic Application [PDF]
ResearchThe rapid development of neuromorphic computing has led to widespread investigation of artificial synapses. These synapses can perform parallel in-memory computing functions while transmitting signals, enabling low-energy and fast artificial intelligence.
Runze Li +5 more
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Tunnel junction based memristors as artificial synapses [PDF]
Frontiers in Neuroscience, 2015 We prepared magnesia, tantalum oxide and barium titanate based junction structures and investigated their memristive properties. The low amplitudes of the resistance change in these types of junctions are the major obstacle for their use.
Andy eThomas, Elisabetta eChicca
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Triboelectric Nanogenerators as Active Tactile Stimulators for Multifunctional Sensing and Artificial Synapses [PDF]
Sensors, 2022 The wearable tactile sensors have attracted great attention in the fields of intelligent robots, healthcare monitors and human-machine interactions. To create active tactile sensors that can directly generate electrical signals in response to stimuli ...
Jianhua Zeng +7 more
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Memristive Artificial Synapses for Neuromorphic Computing [PDF]
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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Light-Emitting Artificial Synapses for Neuromorphic Computing [PDF]
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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Synaptic Plasticity in Memristive Artificial Synapses and Their Robustness Against Noisy Inputs [PDF]
Frontiers in Neuroscience, 2021 Emerging brain-inspired neuromorphic computing paradigms require devices that can emulate the complete functionality of biological synapses upon different neuronal activities in order to process big data flows in an efficient and cognitive manner while ...
Nan Du +17 more
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Advanced Intelligent Systems, 2021 Neuromorphic electronics draw attention as innovative approaches that facilitate hardware implementation of next‐generation artificial intelligent system including neuromorphic in‐memory computing, artificial sensory perception, and humanoid robotics ...
Sung Woon Cho +3 more
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Advanced Intelligent Systems, 2022 Flexible artificial synapses, which use flexible electronic devices to simulate biological synapses, are the cornerstone of brain‐like computers and artificial intelligence systems.
Xiangxiang Li +5 more
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2D-materials-based optoelectronic synapses for neuromorphic applications
eScience, 2023 Optoelectronic artificial synapses (OEASs) are essential for realizing artificial neural networks (ANNs) in next-generation information processing that has high transmission speed, high bandwidth, and low power consumption. Two-dimensional (2D) materials
Jiaxin Chen, Wentao Xu
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Polarity-tunable dye-sensitized optoelectronic artificial synapses for physical reservoir computing-based machine vision [PDF]
Scientific ReportsConventional machine vision systems process huge time-series data per second, presenting significant challenges for edge-device applications due to limitations in data transfer and storage.
Hiroaki Komatsu +2 more
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