Results 11 to 20 of about 79,596 (285)
Memristive Artificial Synapses for Neuromorphic Computing [PDF]
Nano-Micro Letters, 2021 AbstractNeuromorphic computing simulates the operation of biological brain function for information processing and can potentially solve the bottleneck of the von Neumann architecture. This computing is realized based on memristive hardware neural networks in which synaptic devices that mimic biological synapses of the brain are the primary units ...
Wen Huang +8 more
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Artificial Synapses: Organometal Halide Perovskite Artificial Synapses (Adv. Mater. 28/2016) [PDF]
Advanced Materials, 2016 A synapse-emulating electronic device based on organometal halide perovskite thin films is described by T.-W. Lee and co-workers on page 5916. The device successfully emulates important characteristics of a biological synapse. This work extends the application of organometal halide perovskites to bioinspired electronic devices, and contributes to the ...
Wentao, Xu +6 more
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Dissecting neurotransmission with artificial synapses [PDF]
Journal of General Physiology, 2021 JGP study demonstrates how recordings from neuron–HEK cell cocultures provide a clearer picture of the factors involved in synaptic transmission.
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Materials & Design, 2022 Photoelectric synapse is a new type of artificial synapse that combines light pulse excitation and electrical pulse excitation, and is an important component for the development of neuromorphic hardware.
Wen-Min Zhong +3 more
doaj +1 more source
Solution‐Processed Perovskite Field‐Effect Transistor Artificial Synapses [PDF]
Advanced Materials, 2021 AbstractMetal halide perovskites are distinctive semiconductors that exhibit both ionic and electronic transport and are promising for artificial synapses. However, developing a 3‐terminal transistor artificial synapse with the perovskite channel remains elusive due to the lack of a proper technique to regulate mobile ions in a non‐volatile manner ...
Beomjin Jeong +2 more
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Nanomaterials, 2023 Inspired by its highly efficient capability to deal with big data, the brain-like computational system has attracted a great amount of attention for its ability to outperform the von Neumann computation paradigm. As the core of the neuromorphic computing
Tong Chen +10 more
doaj +1 more source
A geographically distributed bio-hybrid neural network with memristive plasticity [PDF]
, 2017 Throughout evolution the brain has mastered the art of processing real-world inputs through networks of interlinked spiking neurons. Synapses have emerged as key elements that, owing to their plasticity, are merging neuron-to-neuron signalling with ...
Corna, Andrea +10 more
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Enhancement of synchronization in a hybrid neural circuit by spike timing dependent plasticity [PDF]
, 2003 Synchronization of neural activity is fundamental for many functions of the brain. We demonstrate that spike-timing dependent plasticity (STDP) enhances synchronization (entrainment) in a hybrid circuit composed of a spike generator, a dynamic clamp ...
Abarbanel, Henry D I +4 more
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A one-transistor-synapse strategy for electrically-programmable massively-parallel analog array processors [PDF]
, 1997 This paper presents a linear, four-quadrants, electrically-programmable, one-transistor synapse strategy applicable to the implementation of general massively-parallel analog processors in CMOS technology.
Carmona Galán, Ricardo +3 more
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Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex [PDF]
, 2015 Neocortical neurons have thousands of excitatory synapses. It is a mystery how neurons integrate the input from so many synapses and what kind of large-scale network behavior this enables.
Ahmad, Subutai, Hawkins, Jeff
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