Results 231 to 240 of about 79,596 (285)

Studying macromolecular composition in cell-cell interfaces using 3D membrane reconstitution systems

open access: yes
Ragaller F   +8 more
europepmc   +1 more source
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Quantum Artificial Synapses

Advanced Quantum Technologies, 2021
Abstract Neuromorphic in‐memory computing systems, comprising artificial synapses and neurons, can overcome the energy inefficiency and throughput limitation of today's von Neumann computing architecture. Recently, powered by the unique properties of quantum materials, for example, high mobility, outstanding sensitivity, and strong ...
You Meng   +4 more
openaire   +1 more source

Photothermally Activated Artificial Neuromorphic Synapses

Nano Letters, 2023
Biological nervous systems rely on the coordination of billions of neurons with complex, dynamic connectivity to enable the ability to process information and form memories. In turn, artificial intelligence and neuromorphic computing platforms have sought to mimic biological cognition through software-based neural networks and hardware demonstrations ...
Brian W. Blankenship   +9 more
openaire   +2 more sources

Multiferroic antiferromagnetic artificial synapse

Journal of Applied Physics, 2022
Artificial 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
openaire   +1 more source

Solution-processed electronics for artificial synapses

Materials Horizons, 2021
Solution-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
openaire   +2 more sources

Near‐Infrared Artificial Synapses for Artificial Sensory Neuron System

Small, 2021
AbstractThe 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
openaire   +2 more sources

Artificial synapses based on nanomaterials

Nanotechnology, 2018
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
openaire   +2 more sources

Organometal Halide Perovskite Artificial Synapses

Advanced Materials, 2016
Organometal 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
openaire   +3 more sources

Microcontroller based artificial synapse

Proceedings of the IEEE 31st Annual Northeast Bioengineering Conference, 2005., 2005
This 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
openaire   +1 more source

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