Results 21 to 30 of about 2,890 (229)

A minireview on 2D materials-enabled optoelectronic artificial synaptic devices

open access: yesAPL Materials, 2022
Two-dimensional (2D) layered materials exhibit many unique properties, such as near-atomic thickness, electrical tunability, optical tunability, and mechanical deformability, which are characteristically distinct from conventional materials.
Changhyeon Yoo   +10 more
doaj   +1 more source

Adaptive Latent Inhibition in Associatively Responsive Optoelectronic Synapse

open access: yesAdvanced Functional Materials, 2021
AbstractThe association of stimuli is an important attribute in the neural basis of learning and memory. While the acquisition and extinction of association through conditioning are well emulated in artificial synaptic devices, the alteration of conditioning efficacy, which enables adaptability in learning, has yet to be demonstrated.
Si En Ng   +3 more
openaire   +2 more sources

Low-dimensional optoelectronic synaptic devices for neuromorphic vision sensors

open access: yesMaterials Futures, 2023
Neuromorphic systems represent a promising avenue for the development of the next generation of artificial intelligence hardware. Machine vision, one of the cores in artificial intelligence, requires system-level support with low power consumption, low ...
Chengzhai Lv   +4 more
doaj   +1 more source

In‐Depth Physical Mechanism Analysis of Polymer Artificial Optoelectronic Synapse with High Endurance and Applications of Visual System and Operant Conditioning

open access: yesAdvanced 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
doaj   +1 more source

Optoelectronic Synapses Based on Hot-Electron-Induced Chemical Processes [PDF]

open access: yesNano Letters, 2020
Highly efficient information processing in the brain is based on processing and memory components called synapses, whose output is dependent on the history of the signals passed through them. Here, we have developed an artificial synapse with both electrical and optical memory effects using chemical transformations in plasmonic tunnel junctions.
Pan Wang   +4 more
openaire   +2 more sources

A bioinspired optoelectronically engineered artificial neurorobotics device with sensorimotor functionalities [PDF]

open access: yes, 2019
Development of the next generation of bio- and nano-electronics is inseparably connected to the innovative concept of emulation and reproduction of biological sensorimotor systems and artificial neurobotics. Here, we report for the first time principally
Karbalaei Akbari, Mohammad   +1 more
core   +2 more sources

CsPbBr3/graphene nanowall artificial optoelectronic synapses for controllable perceptual learning

open access: yesPhotoniX, 2023
The rapid development of neuromorphic computing has stimulated extensive research interest in artificial synapses. Optoelectronic artificial synapses using laser beams as stimulus signals have the advantages of broadband, fast response, and low crosstalk.
Runze Li   +7 more
doaj   +1 more source

An ART1 microchip and its use in multi-ART1 systems [PDF]

open access: yes, 1997
Recently, a real-time clustering microchip neural engine based on the ART1 architecture has been reported. Such chip is able to cluster 100-b patterns into up to 18 categories at a speed of 1.8 μs per pattern.
Linares Barranco, Bernabé   +1 more
core   +1 more source

Stretchable elastic synaptic transistors for neurologically integrated soft engineering systems [PDF]

open access: yes, 2019
Artificial synaptic devices that can be stretched similar to those appearing in soft-bodied animals, such as earthworms, could be seamlessly integrated onto soft machines toward enabled neurological functions.
Chai, Yang   +13 more
core   +1 more source

Spatial Light Modulators As Parallel Memories For Optoelectronic Neural Networks [PDF]

open access: yes, 1990
A generic architecture for realizing neural networks is presented in which the synaptic interaction matrix is loaded in parallel into an electronic integrated circuit from a SLM.
Agranat, Aharon J.   +2 more
core   +1 more source

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