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Multiferroic antiferromagnetic artificial synapse
Journal of Applied Physics, 2022Artificial intelligence frameworks utilizing unsupervised learning techniques can avoid the bottleneck of labeled training data required in supervised machine learning systems, but the programming time of these systems is inherently limited by their hardware implementations.
John Nance +3 more
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Solution-processed electronics for artificial synapses
Materials Horizons, 2021Solution-processed artificial synapses are expected to develop the synaptic electronics towards flexible and highly integrated three-dimensional neural networks to break through the von Neumann computing architecture in the post-Moore era.
Kuakua Lu +7 more
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Near‐Infrared Artificial Synapses for Artificial Sensory Neuron System
Small, 2021AbstractThe computing based on artificial neuron network is expected to break through the von Neumann bottleneck of traditional computer, and to greatly improve the computing efficiency, displaying a broad prospect in the application of artificial visual system.
Boyuan Mu +8 more
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Artificial synapses based on nanomaterials
Nanotechnology, 2018Artificial synapses emulate biological synaptic signals in neuromorphic systems to attain brain-like computation and autonomous learning behaviors in non-von-Neumann systems. Several classes of materials have been applied to this field to achieve numerous functionalities of biological synapses.
Yihang Chen +6 more
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Organometal Halide Perovskite Artificial Synapses
Advanced Materials, 2016Organometal halide perovskite synaptic devices are fabricated; they emulate important working principles of a biological synapse, including excitatory postsynaptic current, paired-pulse facilitation, short-term plasticity, long-term plasticity, and spike-timing dependent plasticity. These properties originate from possible ion migration in the ion-rich
Xu, W +6 more
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Microcontroller based artificial synapse
Proceedings of the IEEE 31st Annual Northeast Bioengineering Conference, 2005., 2005This paper discusses a novel artificial synapse implementation utilizing a PIC microcontroller. This artificial synapse controls a postsynaptic neuron based upon the frequency of pulses input from a presynaptic neuron. The artificial synapse is constructed to interface the Lymnaea stagnalis neuron and a neuron emulator capable of simulating this type ...
Chabot, Eugene +3 more
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Multiprotocol-induced plasticity in artificial synapses
Nanoscale, 2014A bipolar-switch-based synaptic circuit realizes multiprotocol-induced plasticity in both excitatory and inhibitory synaptic transmission.
Vladimir, Kornijcuk +8 more
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Artificial electrical synapses in oscillatory networks
Journal of Neurophysiology, 19921. We use an electronic circuit to artificially electrically couple neurons. 2. Strengthening the coupling between an oscillating neuron and a hyperpolarized, passive neuron can either increase or decrease the frequency of the oscillator depending on the properties of the oscillator. 3.
A A, Sharp, L F, Abbott, E, Marder
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Liquid-based memory and artificial synapse
Nanoscale, 2019Resistive switching is observed in silver nitrate solution and synaptic behaviors are evaluated using liquid-based memory devices.
Dongshin Kim, Jang-Sik Lee
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Visible Light‐Sensitive Artificial Photonic Synapse
Advanced Optical Materials, 2023AbstractComputing based on artificial neuron networks holds great promise in overcoming the von Neumann bottleneck and significantly enhancing computing efficiency. It offers a wide range of possibilities for artificial visual system applications. Photonic synapses, as essential components, can contribute to improved efficiency in visual information ...
Bum Ho Jeong +5 more
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