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Artificial synapses based on nanomaterials
Nanotechnology, 2018Abstract Artificial 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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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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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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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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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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Perovskite photodetectors and their application in artificial photonic synapses
Chemical Communications, 2021Hybrid perovskite photonic synapses can be modulated with photoelectric signals, and have great potential for the development of artificial intelligence.
Xin Huang, Yunlong Guo, Yunqi Liu
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Amperometric Detection of Exocytosis in an Artificial Synapse
Analytical Chemistry, 2003A liposome model of exocytosis has been used to examine the nanometer environment of the space between the electrode and the membrane. First, this has been used to test models of coulometric efficiency for different size vesicles with 5- and 33-microm electrodes.
Ann-Sofie, Cans +6 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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An Artificial Synapse for Interfacing to Biological Neurons
2006 IEEE International Symposium on Circuits and Systems, 2006This work details CMOS, bio-inspired circuits that are used to link an artificial neuron and a living neuron and between two living neurons. We read an intracellular signal from a living neuron, use an integrate-and-fire neuron as a simple processing element to detect the spikes, and an artificial synapse to send outputs to a living neuron.
Christal Gordon +4 more
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