A minireview on 2D materials-enabled optoelectronic artificial synaptic devices
APL 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
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Supervised learning of an opto-magnetic neural network with ultrashort laser pulses [PDF]
, 2019 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
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Bi2O2Se-based CBRAM integrated artificial synapse
Heliyon, 2023 Integrating two-dimensional (2D) semiconducting materials into memristor structures has paved the way for emerging 2D materials to be employed in a vast field of memory applications. Bismuth oxyselenide (Bi2O2Se), a 2D material with high electron mobility, has attracted significant research interest owing to its great potential in various fields of ...
Dharmendra Verma +3 more
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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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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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Emulating long-term synaptic dynamics with memristive devices [PDF]
, 2016 The potential of memristive devices is often seeing in implementing neuromorphic architectures for achieving brain-like computation. However, the designing procedures do not allow for extended manipulation of the material, unlike CMOS technology, the ...
Berdan, Radu +5 more
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Bioinspired activation of silent synapses in layered materials for extensible neuromorphic computing
Journal of Materiomics, 2023 Activation of silent synapses is of great significance for the extension of neural plasticity related to learning and memory. Inspired by the activation of silent synapses via receptor insertion in neural synapses, we propose an efficient method for ...
Yan Kang +7 more
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Universal and Convenient Optimization Strategies for Three-Terminal Memristors
IEEE Access, 2018 Neuromorphic computing, i.e., brainlike computing, has attracted a great deal of attention because of its exceptional performance. For the hardware implementation of neuromorphic systems, the desired key building blocks, artificial synapses, have been ...
Kunlong Yang +6 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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2D-materials-based optoelectronic synapses for neuromorphic applications
eScience, 2023 Optoelectronic artificial synapses (OEASs) are essential for realizing artificial neural networks (ANNs) in next-generation information processing that has high transmission speed, high bandwidth, and low power consumption. Two-dimensional (2D) materials
Jiaxin Chen, Wentao Xu
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