Results 31 to 40 of about 45,642 (188)
Memristive artificial synapses based on Au–TiO2 composite thin film for neuromorphic computing
APL Materials, 2023 Neuromorphic computing architecture is considered to be a highly desirable next-generation computing architecture as it simulates the way the brain processes information.
Haonan Zhu +5 more
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A simple MOSFET model of an artificial synapse [PDF]
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2005 A simple analog-signal synapse model is developed and later implemented on a standard 0.35 /spl mu/m CMOS process to provide for large scale of integration, high processing speed and manufacturability of a multi-layer artificial neural network. Synapse nonlinearity with respect to synapse weight is studied. Demonstrated is the capability of the circuit
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Advanced Electronic Materials, 2023 Being capable of dealing with both electrical signals and light, artificial optoelectronic synapses are considered to be an important cornerstone of neuromorphic computing.
Yangzhou Qian +9 more
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Graphene-Based Artificial Synapses with Tunable Plasticity
ACM Journal on Emerging Technologies in Computing Systems, 2021 Design and implementation of artificial neuromorphic systems able to provide brain akin computation and/or bio-compatible interfacing ability are crucial for understanding the human brain’s complex functionality and unleashing brain-inspired computation’s full potential.
He Wang 0013 +3 more
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Artificial Synapses Based on an Optical/Electrical Biomemristor
Nanomaterials, 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/optically tunable biomemristors were fabricated using the egg protein as a dielectric layer.
Lu Wang +5 more
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Advanced Science, 2023 Neuromorphic hardware with a spiking neural network (SNN) can significantly enhance the energy efficiency for artificial intelligence (AI) functions owing to its event‐driven and spatiotemporally sparse operations.
Joon‐Kyu Han +9 more
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Frontiers in Cardiovascular MedicineBackgroundThe mechanism by which combined oral contraceptives (COCs) lead to hypercoagulation is not fully understood, although activated protein C (APC) pathway resistance has been implicated.
Marisa Ninivaggi +6 more
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Bleeding, Thrombosis and Vascular Biology, 2023 Epidemiological data on the association between fibrinogen levels and mortality are scarse and controversial. Longitudinal analyses were performed, separately by sex, on 17,689 individuals from the Moli-sani study [53% women, ≥35 years, free from ...
Roberta Parisi +12 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 tunnel 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. Here, we increased the amplitude of the resistance change from 10% up to 100%.
Thomas, Andy +8 more
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Advanced Science, 2023 Hardware neural networks with mechanical flexibility are promising next‐generation computing systems for smart wearable electronics. Several studies have been conducted on flexible neural networks for practical applications; however, developing systems ...
Hyeongwook Kim +8 more
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