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Organic Phototransistor Photonic Synapses for Artificial Vision [PDF]
Highlights The latest progress in neuromorphic artificial synapses based on organic phototransistors is reviewed from three aspects: functional semiconductor materials, operating behaviors, and frontier applications/advancements.
Feng Ding +3 more
doaj +2 more sources
Artificial Synapses: Organometal Halide Perovskite Artificial Synapses (Adv. Mater. 28/2016) [PDF]
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
openaire +2 more sources
Flexible artificial synapses, which use flexible electronic devices to simulate biological synapses, are the cornerstone of brain‐like computers and artificial intelligence systems.
Xiangxiang Li +5 more
doaj +1 more source
Neuromorphic computing employs a great number of artificial synapses which transfer information between neurons. Conventional two‐ or three‐terminal artificial synapses with homosynaptic plasticity suffer from a positive feedback loop problem.
Fengben Xi +6 more
doaj +1 more source
Neuromorphic electronics draw attention as innovative approaches that facilitate hardware implementation of next‐generation artificial intelligent system including neuromorphic in‐memory computing, artificial sensory perception, and humanoid robotics ...
Sung Woon Cho +3 more
doaj +1 more source
Artificial synapses are electronic devices that simulate important functions of biological synapses, and therefore are the basic components of artificial neural morphological networks for brain-like computing.
Fang Nie +11 more
doaj +1 more source
A minireview on 2D materials-enabled optoelectronic artificial synaptic devices
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
Supervised learning of an opto-magnetic neural network with ultrashort laser pulses [PDF]
The explosive growth of data and its related energy consumption is pushing the need to develop energy-efficient brain-inspired schemes and materials for data processing and storage.
Chakravarty, A. +5 more
core +3 more sources
A geographically distributed bio-hybrid neural network with memristive plasticity [PDF]
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
core +1 more source
Neuromorphic visual system with image perception, memory, and preprocessing functions is expected to simulate basic features of the human retina. Organic optoelectronic synaptic transistors emulating biological synapses may be promising candidates for ...
Junyao Zhang +10 more
semanticscholar +1 more source

