Multimodal Artificial Synapses for Neuromorphic Application. [PDF]
Research (Wash D C)The 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.
Li R +5 more
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Memristive Artificial Synapses for Neuromorphic Computing. [PDF]
Nanomicro Lett, 2021 Neuromorphic computing simulates the operation of biological brain function for information processing and can potentially solve the bottleneck of the von Neumann architecture.
Huang W +8 more
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Light-Emitting Artificial Synapses for Neuromorphic Computing. [PDF]
Research (Wash D C), 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 ...
Zhu C, Huang W, Li W, Yu X, Li X.
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Tunnel junction based memristors as artificial synapses. [PDF]
Front Neurosci, 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.
Thomas A +8 more
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Synaptic Plasticity in Memristive Artificial Synapses and Their Robustness Against Noisy Inputs. [PDF]
Front Neurosci, 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 ...
Du N +7 more
europepmc +2 more sources
Triboelectric Nanogenerators as Active Tactile Stimulators for Multifunctional Sensing and Artificial Synapses. [PDF]
Sensors (Basel), 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 ...
Zeng J +7 more
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Artificial Synapses Based on an Optical/Electrical Biomemristor. [PDF]
Nanomaterials (Basel), 2023 As artificial synapse devices, memristors have attracted widespread attention in the field of neuromorphic computing. In this paper, Al/polymethyl methacrylate (PMMA)/egg albumen (EA)–graphene quantum dots (GQDs)/PMMA/indium tin oxide (ITO) electrically ...
Wang L +5 more
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Recent progress in three-terminal artificial synapses based on 2D materials: from mechanisms to applications. [PDF]
Microsyst Nanoeng, 2023 Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for changes in synaptic strength, enabling the brain to learn from experience.
Zhang F, Li C, Li Z, Dong L, Zhao J.
europepmc +2 more sources
Polarity-tunable dye-sensitized optoelectronic artificial synapses for physical reservoir computing-based machine vision. [PDF]
Sci RepConventional 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.
Komatsu H, Hosoda N, Ikuno T.
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Rectifying Resistive Memory Devices as Dynamic Complementary Artificial Synapses. [PDF]
Front Neurosci, 2018 Brain inspired computing is a pioneering computational method gaining momentum in recent years. Within this scheme, artificial neural networks are implemented using two main approaches: software algorithms and designated hardware architectures.
Berco D.
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