[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Yang et al., 2020 - Google Patents

Leaky integrate-and-fire neurons based on perovskite memristor for spiking neural networks

Yang et al., 2020

Document ID
15142484131268979583
Author
Yang J
Wang R
Wang Z
Ma Q
Mao J
Ren Y
Yang X
Zhou Y
Han S
Publication year
Publication venue
Nano Energy

External Links

Snippet

Artificial neuron is an important part of constructing neuromorphic network in which information can be computed with high parallelism and efficiency like in the human brain. However, owing to the poor biological plausibility, artificial neurons based on traditional …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/54—Material technologies
    • Y02E10/549—Material technologies organic PV cells
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means

Similar Documents

Publication Publication Date Title
Yang et al. Leaky integrate-and-fire neurons based on perovskite memristor for spiking neural networks
Wang et al. Artificial optoelectronic synapses based on TiNxO2–x/MoS2 heterojunction for neuromorphic computing and visual system
Chen et al. Organic optoelectronic synapse based on photon-modulated electrochemical doping
Zhou et al. Optoelectronic resistive random access memory for neuromorphic vision sensors
Yang et al. Artificial synapses emulated by an electrolyte‐gated tungsten‐oxide transistor
Wang et al. Reconfigurable optoelectronic memristor for in-sensor computing applications
Qian et al. Solar-stimulated optoelectronic synapse based on organic heterojunction with linearly potentiated synaptic weight for neuromorphic computing
Li et al. Multi-modulated optoelectronic memristor based on Ga2O3/MoS2 heterojunction for bionic synapses and artificial visual system
Ge et al. Bidirectional photoresponse in perovskite‐ZnO heterostructure for fully optical‐controlled artificial synapse
Berco et al. Recent progress in synaptic devices paving the way toward an artificial cogni‐retina for bionic and machine vision
Ryu et al. Bio-inspired synaptic functions from a transparent zinc-tin-oxide-based memristor for neuromorphic engineering
Shrivastava et al. Fully photon controlled synaptic memristor for neuro‐inspired computing
Bou et al. Impedance spectroscopy dynamics of biological neural elements: from memristors to neurons and synapses
Wang et al. A digital–analog integrated memristor based on a ZnO NPs/CuO NWs heterostructure for neuromorphic computing
Bisquert Electrical charge coupling dominates the hysteresis effect of halide perovskite devices
Lin et al. Multifunctional optoelectronic memristor based on CeO2/MoS2 heterojunction for advanced artificial synapses and bionic visual system with nociceptive sensing
Shrivastava et al. Zn2SnO4 thin film based nonvolatile positive optoelectronic memory for neuromorphic computing
Ye et al. Overview of memristor-based neural network design and applications
Zhang et al. Research on Pt/NiO x/WO3–x: Ti/W Multijunction Memristors with Synaptic Learning and Memory Functions
Das et al. Artificial Visual Systems Fabricated with Ferroelectric van der Waals Heterostructure for In-Memory Computing Applications
Tao et al. 3D trigonal FAPbI3‐based multilevel resistive switching nonvolatile memory for artificial neural synapse
Lao et al. Self‐Powered and Humidity‐Modulable Optoelectronic Synapse
Lee et al. Artificial Synapse Based on a δ-FAPbI3/Atomic-Layer-Deposited SnO2 Bilayer Memristor
Wang et al. Tailoring Classical Conditioning Behavior in TiO2 Nanowires: ZnO QDs-Based Optoelectronic Memristors for Neuromorphic Hardware
Nobre et al. A synaptic device based on the optoelectronic properties of ZnO thin film transistors