Results 291 to 300 of about 1,900,337 (342)
Some of the next articles are maybe not open access.
Fully UV Modulated Artificial Synapses with Integrated Sensing, Storage and Computation
Advanced Functional MaterialsOptical synaptic devices are considered a preferred substitute to electrical synapses for low‐energy, high‐efficiency neuromorphic computing (NC). However, most optical synapses irreversible optical response severely restricts their application scenarios.
Shuyi Sun +6 more
semanticscholar +1 more source
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
openaire +3 more sources
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
openaire +1 more source
Neurotransmitter‐Induced Excitatory and Inhibitory Functions in Artificial Synapses
Advanced Functional Materials, 2022Neurotransmitters control signal transmission in the nervous system. The signals of neuron cells can be excited or inhibited based on the types of neurotransmitters that are released from pre‐synaptic neurons. The balance of the excitatory and inhibitory
Dongshin Kim, Jang-Sik Lee
semanticscholar +1 more source
Piezotronic Graphene Artificial Sensory Synapse
Advanced Functional Materials, 2019AbstractThe human somatosensory system, consisting of receptors, transmitters, and synapses, functions as the medium for external mechanical stimuli perception and sensing signal delivery/processing. Developing sophisticated artificial sensory synapses with a high performance, uncomplicated fabrication process, and low power consumption is still a ...
Youhui Chen +11 more
openaire +1 more source
Emerging optoelectronic artificial synapses and memristors based on low-dimensional nanomaterials
Applied Physics ReviewsThe Von Neumann architecture has been the foundation of modern computing systems. Still, its limitations in processing large amounts of data and parallel processing have become more apparent as computing requirements increase.
Pengshan Xie +3 more
semanticscholar +1 more source
Halide Perovskites for Memristive Data Storage and Artificial Synapses.
Journal of Physical Chemistry Letters, 2021Halide perovskites have been noted for their exotic properties such as fast ion migration, tunable composition, facile synthetic routes, and flexibility in addition to large light absorption coefficients, long carrier diffusion lengths, and high defect ...
K. Kwak +3 more
semanticscholar +1 more source
Advanced Materials & Technologies, 2022
Owing to the limited processing speed and power efficiency of the current computing method based on the von Neumann architecture, research on artificial synaptic devices for implementing neuromorphic computing capable of parallel computation is ...
Sungmun Song +9 more
semanticscholar +1 more source
Owing to the limited processing speed and power efficiency of the current computing method based on the von Neumann architecture, research on artificial synaptic devices for implementing neuromorphic computing capable of parallel computation is ...
Sungmun Song +9 more
semanticscholar +1 more source
Neuromorphic Synapses for Artificial Dendrites
Analog Integrated Circuits and Signal Processing, 1997We describe neuromorphic, variable-weight synapses on artificial dendrites that facilitate experimentation with correlative adaptation rules. Attention is focused on those aspects of biological synaptic function that could affect a neuromorphic network‘s computational power and adaptive capability.
Wayne C. Westerman +2 more
openaire +1 more source
Advanced Functional Materials, 2022
In neuromorphic computing networks, a flexible synaptic memristor with high recognition accuracy is highly desired. In this study, ZnO nanosheets (ZnO NS) embedded within a polymethyl methacrylate host material are used as the intermediate layer to ...
Yilong Wang +4 more
semanticscholar +1 more source
In neuromorphic computing networks, a flexible synaptic memristor with high recognition accuracy is highly desired. In this study, ZnO nanosheets (ZnO NS) embedded within a polymethyl methacrylate host material are used as the intermediate layer to ...
Yilong Wang +4 more
semanticscholar +1 more source

