Results 71 to 80 of about 45,642 (188)
3-D Synapse Array Architecture Based on Charge-Trap Flash Memory for Neuromorphic Application
, 2019 In order to address a fundamental bottleneck of conventional digital computers, there is recently a tremendous upsurge of investigations on hardware-based neuromorphic systems.
Yoon Kim +3 more
core +1 more source
Artificial synapse network on inorganic proton conductor for neuromorphic systems
, 2014 The basic units in our brain are neurons, and each neuron has more than 1,000 synapse connections. Synapse is the basic structure for information transfer in an ever-changing manner, and short-term plasticity allows synapses to perform critical ...
Shi, Yi +4 more
core
Electrolyte Gated Oxide Pseudodiode for Inhibitory Synapse Applications
, 2018 Recently, synaptic electronics are attracting increasing attention in neuromorphic engineering. Here, inhibitory synapses are proposed based on nanogranular phosphorous silicate glass gated indium tin oxide transistors operated in pseudodiode mode ...
Fei Yu +15 more
core +1 more source
Emerging memristive artificial neuron and synapse devices for the neuromorphic electronics era
, 2023 Growth of data eases the way to access the world but consumes increasing energy to store and process. Neuromorphic electronics emerged in the last decade, inspired by biological neuron and synapses, with in-memory computing ability, extenuates the ‘von ...
Ali, Asif +9 more
core +1 more source
Model of a multilayer coating for an artificial optical synapse
, 2022 Optical characteristics of germanium telluride (GeTe) thin films in multilayer structures are calculated. A model of a multilayer optical coating with a four-level transmission coefficient is developed.
M.A. Pankov +2 more
core +1 more source
Self‐Selective Crossbar Synapse Array with n‐ZnO/p‐NiOx/n‐ZnO Structure for Neuromorphic Computing
Advanced Electronic MaterialsArtificial synapse devices are essential elements for highly energy‐efficient neuromorphic computing. They are implemented as crossbar array architecture, where highly selective synaptic weight updates for training and sneak leakage‐free inference ...
Peter Hayoung Chung +6 more
doaj +1 more source
, 2021 A Visible-Blind Photodetector and Artificial Optoelectronic Synapse Using Liquid-Metal Exfoliated ZnO ...
N Mahmood (13348425) +7 more
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PLoS ONEArtificial neurons with bio-inspired firing patterns have the potential to significantly improve the performance of neural network computing. The most significant component of an artificial neuron circuit is a large amount of energy consumption.
Keerthi Nalliboyina +1 more
doaj +1 more source
, 2021 Complementary metal–oxide–semiconductor (CMOS)-based neural architectures and memristive devices containing many artificial synapses are promising technologies that are being developed for pattern recognition and machine learning. However, the volatility
Shao Xiang Go +4 more
core +1 more source
, 2018 Inspired by the highly parallel processing power and low energy consumption of the biological nervous system, the development of a neuromorphic computing paradigm to mimic brain-like behaviors with electronic components based artificial synapses may play
Ziyu Lv +31 more
core +1 more source