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Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/adfm.201501427openalex-snapshot
Biorealistic Implementation of Synaptic Functions with Oxide Memristors through Internal Ionic Dynamics
inferredcites →https://doi.org/10.1002/adma.200900375openalex-snapshot
Redox‐Based Resistive Switching Memories – Nanoionic Mechanisms, Prospects, and Challenges
inferredcites →https://doi.org/10.1002/adma.201503202openalex-snapshot
Memristive Physically Evolving Networks Enabling the Emulation of Heterosynaptic Plasticity
inferredcites →https://doi.org/10.1016/j.neuron.2005.01.003openalex-snapshot
Transient and Persistent Dendritic Spines in the Neocortex In Vivo
inferredcites →https://doi.org/10.1016/j.neuron.2005.04.001openalex-snapshot
Development of Long-Term Dendritic Spine Stability in Diverse Regions of Cerebral Cortex
inferredcites →https://doi.org/10.1016/j.sse.2009.09.034openalex-snapshot
High density 3D memory architecture based on the resistive switching effect
inferredcites →https://doi.org/10.1016/s0364-0213(85)80010-0openalex-snapshot
Feature discovery by competitive learning
inferredcites →https://doi.org/10.1021/nl904092hopenalex-snapshot
Nanoscale Memristor Device as Synapse in Neuromorphic Systems
inferredcites →https://doi.org/10.1023/a:1011208127849openalex-snapshot
A Current-Mode Hysteretic Winner-take-all Network, with Excitatory and Inhibitory Coupling
inferredcites →https://doi.org/10.1038/nature01273openalex-snapshot
Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex
inferredcites →https://doi.org/10.1038/nature14441openalex-snapshot
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
inferredcites →https://doi.org/10.1038/nmat2023openalex-snapshot
Nanoionics-based resistive switching memories
inferredcites →https://doi.org/10.1038/nmat2748openalex-snapshot
Complementary resistive switches for passive nanocrossbar memories
inferredcites →https://doi.org/10.1038/srep04755openalex-snapshot
Enabling an Integrated Rate-temporal Learning Scheme on Memristor
inferredcites →https://doi.org/10.1038/srep18639openalex-snapshot
Emulating short-term synaptic dynamics with memristive devices
inferredcites →https://doi.org/10.1049/el.2012.2295openalex-snapshot
High precision analogue memristor state tuning
inferredcites →https://doi.org/10.1049/el:19930606openalex-snapshot
CMOS current mode winner-take-all circuit with both excitatory and inhibitory feedback
inferredcites →https://doi.org/10.1063/1.3319591openalex-snapshot
Voltage-time dilemma of pure electronic mechanisms in resistive switching memory cells
inferredcites →https://doi.org/10.1063/1.4749411openalex-snapshot
Physical aspects of low power synapses based on phase change memory devices
inferredcites →https://doi.org/10.1088/0957-4484/18/36/365202openalex-snapshot
Self-organized computation with unreliable, memristive nanodevices
inferredcites →https://doi.org/10.1088/0957-4484/24/38/384010openalex-snapshot
Integration of nanoscale memristor synapses in neuromorphic computing architectures
inferredcites →https://doi.org/10.1109/4.229397openalex-snapshot
A high-precision VLSI winner-take-all circuit for self-organizing neural networks
inferredcites →https://doi.org/10.1109/72.377986openalex-snapshot
K-winners-take-all circuit with O(N) complexity
inferredcites →https://doi.org/10.1109/ijcnn.2006.1716062openalex-snapshot
Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model
inferredcites →https://doi.org/10.1109/ijcnn.2011.6033439openalex-snapshot
Simulation of a memristor-based spiking neural network immune to device variations
inferredcites →https://doi.org/10.1109/iscas.1995.523729openalex-snapshot
Single transistor learning synapse with long term storage
inferredcites →https://doi.org/10.1109/iscas.2013.6572132openalex-snapshot
CMOS SRAM scaling limits under optimum stability constraints
inferredcites →https://doi.org/10.1109/jproc.2015.2437616openalex-snapshot
Bioinspired Programming of Memory Devices for Implementing an Inference Engine
inferredcites →https://doi.org/10.1109/nanoarch.2008.4585796openalex-snapshot
Spike-timing-dependent learning in memristive nanodevices
inferredcites →https://doi.org/10.1109/proc.1976.10092openalex-snapshot
Memristive devices and systems
inferredcites →https://doi.org/10.1109/tct.1971.1083337openalex-snapshot
Memristor-The missing circuit element
inferredcites →https://doi.org/10.1109/ted.2015.2433676openalex-snapshot
A $\mu $ -Controller-Based System for Interfacing Selectorless RRAM Crossbar Arrays
inferredcites →https://doi.org/10.1109/ted.2015.2439635openalex-snapshot
Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element
inferredcites →https://doi.org/10.1109/ted.2015.2478491openalex-snapshot
An RRAM Biasing Parameter Optimizer
inferredcites →https://doi.org/10.1109/tie.2013.2275966openalex-snapshot
Neuromorphic Character Recognition System With Two PCMO Memristors as a Synapse
inferredcites →https://doi.org/10.1109/tnn.2005.860850openalex-snapshot
A VLSI Array of Low-Power Spiking Neurons and Bistable Synapses With Spike-Timing Dependent Plasticity
inferredcites →https://doi.org/10.1146/annurev.neuro.27.070203.144152openalex-snapshot
NEURONAL CIRCUITS OF THE NEOCORTEX
inferredcites →https://doi.org/10.1162/neco_a_00446openalex-snapshot
Emergence of Optimal Decoding of Population Codes Through STDP
inferredcites →https://doi.org/10.1207/s15516709cog0901_5openalex-snapshot
Feature Discovery by Competitive Learning*
inferredcites →https://doi.org/10.1212/01.wnl.0000166914.38327.bbopenalex-snapshot
Do we have brain to spare?
inferredcites →https://doi.org/10.1371/journal.pcbi.1003511openalex-snapshot
STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning
inferredcites →https://doi.org/10.1371/journal.pcbi.1004485openalex-snapshot
Network Plasticity as Bayesian Inference
inferredcites →https://doi.org/10.1371/journal.pone.0001377openalex-snapshot
Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains
inferredcites →https://doi.org/10.1371/journal.pone.0120506openalex-snapshot
A Memristor SPICE Model Accounting for Synaptic Activity Dependence
inferredcites →https://doi.org/10.1371/journal.pone.0134356openalex-snapshot
Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition
inferredcites →https://doi.org/10.1523/jneurosci.18-24-10464.1998openalex-snapshot
Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
inferredcites →https://doi.org/10.3389/fnins.2011.00073openalex-snapshot
Neuromorphic Silicon Neuron Circuits
inferredcites →https://doi.org/10.3389/fnins.2013.00002openalex-snapshot
STDP and STDP variations with memristors for spiking neuromorphic learning systems
inferredcites →https://doi.org/10.3389/fnins.2013.00186openalex-snapshot
Stochastic learning in oxide binary synaptic device for neuromorphic computing
inferredcites →https://doi.org/10.3389/fnins.2014.00205openalex-snapshot
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
inferredcites →https://doi.org/10.3389/fnins.2014.00412openalex-snapshot
A compound memristive synapse model for statistical learning through STDP in spiking neural networks
inferredcites →https://doi.org/10.3389/fnins.2015.00227openalex-snapshot
Single pairing spike-timing dependent plasticity in BiFeO3 memristors with a time window of 25 ms to 125 μs
inferredcites →https://doi.org/10.3389/fnins.2015.00357openalex-snapshot
Implementation of a spike-based perceptron learning rule using TiO2−x memristors
inferredcites →https://doi.org/10.48550/arxiv.1507.06832openalex-snapshot
Memristive integrative sensors for neuronal activity
inferredcites →https://doi.org/10.48550/arxiv.1509.01998openalex-snapshot
Emulating long-term synaptic dynamics with memristive devices
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Synaptic behavior of a composite multiferroic heterostructure FeBSiC – PZT at resonant excitation
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Two‐Terminal Neuromorphic Memristors
inferred← citeshttps://doi.org/10.1002/adfm.201704455openalex-snapshot
Synaptic Suppression Triplet‐STDP Learning Rule Realized in Second‐Order Memristors
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Adaptive Crystallite Kinetics in Homogenous Bilayer Oxide Memristor for Emulating Diverse Synaptic Plasticity
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Functional Oxides for Photoneuromorphic Engineering: Toward a Solar Brain
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Memristive Synapses for Brain‐Inspired Computing
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Cellulose Nanocrystal Based Bio‐Memristor as a Green Artificial Synaptic Device for Neuromorphic Computing Applications
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Implementation of Dropout Neuronal Units Based on Stochastic Memristive Devices in Neural Networks with High Classification Accuracy
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An Artificial Nerve Capable of UV‐Perception, NIR–Vis Switchable Plasticity Modulation, and Motion State Monitoring
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Flexible Neural Network Realized by the Probabilistic SiOx Memristive Synaptic Array for Energy‐Efficient Image Learning
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Photonic Bayesian Neural Networks: Leveraging Programmable Noise for Robust and Uncertainty‐Aware Computing
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Nanoionics‐Enabled Memristive Devices: Strategies and Materials for Neuromorphic Applications
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inferred← citeshttps://doi.org/10.1016/b978-0-08-102782-0.00017-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-814629-3.00014-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-821505-0.00007-1openalex-snapshot
2D materials for neuromorphic devices
inferred← citeshttps://doi.org/10.1016/b978-0-323-46097-2.00006-9openalex-snapshot
Transport at the nanoscale
inferred← citeshttps://doi.org/10.1016/j.aeue.2018.09.017openalex-snapshot
Two-neuron-based non-autonomous memristive Hopfield neural network: Numerical analyses and hardware experiments
inferred← citeshttps://doi.org/10.1016/j.aeue.2021.154059openalex-snapshot
Hidden extreme multistability and its control with selection of a desired attractor in a non-autonomous Hopfield neuron
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Towards Oxide Electronics: a Roadmap
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Plasma-modulated supercapacitive-coupled memristive behavior of two-dimensional gallium oxide channels towards the realization of tunable semiconductor–metal nanoelectronic gates
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Fabrication perspective of Fe3O4-based cross-cell memristive device for synaptic applications
inferred← citeshttps://doi.org/10.1016/j.cej.2024.152215openalex-snapshot
Heterogeneous ion-modulated 2D-WS2 heterosynaptic memtransistor for controllable synaptic modulation and energy-efficient neuromorphic computing
inferred← citeshttps://doi.org/10.1016/j.chaos.2021.110890openalex-snapshot
Noise-assisted persistence and recovery of memory state in a memristive spiking neuromorphic network
inferred← citeshttps://doi.org/10.1016/j.chaos.2022.113006openalex-snapshot
Revelation and experimental verification of quasi-periodic bursting, periodic bursting, periodic oscillation in third-order non-autonomous memristive FitzHugh-Nagumo neuron circuit
inferred← citeshttps://doi.org/10.1016/j.chaos.2024.114458openalex-snapshot
Periodic and chaotic spiking behaviors in a simplified memristive Hodgkin-Huxley circuit
inferred← citeshttps://doi.org/10.1016/j.cnsns.2020.105583openalex-snapshot
Regulating synchronous patterns in neurons and networks via field coupling
inferred← citeshttps://doi.org/10.1016/j.cnsns.2024.108072openalex-snapshot
Synchronization effects in multiplex networks of chaotic maps with memristive interlayer coupling
inferred← citeshttps://doi.org/10.1016/j.device.2024.100645openalex-snapshot
Fully hardware-implemented neuromorphic systems using TaO -based memristors
inferred← citeshttps://doi.org/10.1016/j.device.2026.101280openalex-snapshot
Adaptive conductance optimization for suppressing wire-resistance-induced errors in crossbar arrays
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Sequential analysis in Fourier probabilistic neural networks
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Analysis and test of influence of memristor non-ideal characteristics on facial expression recognition accuracy
inferred← citeshttps://doi.org/10.1016/j.isci.2018.06.010openalex-snapshot
Data and Power Efficient Intelligence with Neuromorphic Learning Machines
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EqSpike: Spike-driven equilibrium propagation for neuromorphic implementations
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Nitrogen-doped titanium dioxide nanorod array memristors with synaptic features and tunable memory lifetime for neuromorphic computing
inferred← citeshttps://doi.org/10.1016/j.matlet.2020.127676openalex-snapshot
Solution-processed, low voltage tantalum-based memristive switches
inferred← citeshttps://doi.org/10.1016/j.mattod.2017.12.001openalex-snapshot
From biomaterial-based data storage to bio-inspired artificial synapse
inferred← citeshttps://doi.org/10.1016/j.mee.2018.01.009openalex-snapshot
Brain-inspired computing with resistive switching memory (RRAM): Devices, synapses and neural networks
inferred← citeshttps://doi.org/10.1016/j.mee.2019.110988openalex-snapshot
Yttria-stabilized zirconia cross-point memristive devices for neuromorphic applications
inferred← citeshttps://doi.org/10.1016/j.mejo.2025.106916openalex-snapshot
A memristor-based spiking neural network circuit with hardware-optimized unsupervised STDP
inferred← citeshttps://doi.org/10.1016/j.mssp.2026.111292openalex-snapshot
The multi-state photoluminescence and anisotropic properties of Al-catalyzed grown spherulite-like GeS thin films
inferred← citeshttps://doi.org/10.1016/j.mtphys.2021.100540openalex-snapshot
Methylammonium halide-doped perovskite artificial synapse for light-assisted environmental perception and learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.05.062openalex-snapshot
Energy consumption analysis for the read and write mode of the memristor with voltage threshold in the real-time control system
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.09.030openalex-snapshot
Enhanced Spiking Neural Network with forgetting phenomenon based on electronic synaptic devices
inferred← citeshttps://doi.org/10.1016/j.neunet.2017.08.008openalex-snapshot
Learning in the machine: The symmetries of the deep learning channel
inferred← citeshttps://doi.org/10.1016/j.neunet.2020.11.005openalex-snapshot
Necessary conditions for STDP-based pattern recognition learning in a memristive spiking neural network
inferred← citeshttps://doi.org/10.1016/j.patrec.2018.12.005openalex-snapshot
3D Convolutional Neural Network based on memristor for video recognition
inferred← citeshttps://doi.org/10.1016/j.scib.2021.04.014openalex-snapshot
Hybrid memristor-CMOS neurons for in-situ learning in fully hardware memristive spiking neural networks
inferred← citeshttps://doi.org/10.1016/j.ssi.2018.07.012openalex-snapshot
Resistive switching and impedance characteristics of M/TiO2−x/TiO2/M nano-ionic memristor
inferred← citeshttps://doi.org/10.1021/acs.nanolett.0c00435openalex-snapshot
Polaritonic Neuromorphic Computing Outperforms Linear Classifiers
inferred← citeshttps://doi.org/10.1021/acs.nanolett.0c03548openalex-snapshot
Engineering Complex Synaptic Behaviors in a Single Device: Emulating Consolidation of Short-term Memory to Long-term Memory in Artificial Synapses via Dielectric Band Engineering
inferred← citeshttps://doi.org/10.1021/acsabm.0c00806openalex-snapshot
Synaptic Iontronic Devices for Brain-Mimicking Functions: Fundamentals and Applications
inferred← citeshttps://doi.org/10.1021/acsaelm.9b00011openalex-snapshot
Binary Resistive-Switching-Device-Based Electronic Synapse with Spike-Rate-Dependent Plasticity for Online Learning
inferred← citeshttps://doi.org/10.1021/acsaelm.9b00094openalex-snapshot
Analog Control of Retainable Resistance Multistates in HfO2 Resistive-Switching Random Access Memories (ReRAMs)
inferred← citeshttps://doi.org/10.1021/acsami.2c05264openalex-snapshot
Conductance Switching in Liquid Crystal-Inspired Self-Assembled Monolayer Junctions
inferred← citeshttps://doi.org/10.1021/acsami.3c17855openalex-snapshot
Imitating Synapse Behavior: Exploiting Off-Current in TPBi-Doped Small Molecule Phototransistors for Broadband Wavelength Recognition
inferred← citeshttps://doi.org/10.1021/acsami.4c04957openalex-snapshot
Three-Dimensional Integrated Synaptic Devices Based on a Silver-Cluster Conduction Mechanism with High Thermostability
inferred← citeshttps://doi.org/10.1021/acsami.5c11432openalex-snapshot
Halide Perovskites for Neuromorphic Sensing and Computing
inferred← citeshttps://doi.org/10.1021/acsami.6c04852openalex-snapshot
Low-Light Image Enhancement Based on Nanoscale Stochastic Magnetic Tunnel Junctions
inferred← citeshttps://doi.org/10.1021/acsami.9b10072openalex-snapshot
Dual-Gated MoS 2 Neuristor for Neuromorphic Computing
inferred← citeshttps://doi.org/10.1021/acsphotonics.3c00846openalex-snapshot
All-Fiber Synapse Utilizing Phase Change Materials for Information Recognition and Processing
inferred← citeshttps://doi.org/10.1038/s41467-018-04482-4openalex-snapshot
Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
inferred← citeshttps://doi.org/10.1038/s41467-018-04624-8openalex-snapshot
Seamlessly fused digital-analogue reconfigurable computing using memristors
inferred← citeshttps://doi.org/10.1038/s41467-018-05677-5openalex-snapshot
Capacitive neural network with neuro-transistors
inferred← citeshttps://doi.org/10.1038/s41467-018-07682-0openalex-snapshot
Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays
inferred← citeshttps://doi.org/10.1038/s41467-019-13103-7openalex-snapshot
Versatile stochastic dot product circuits based on nonvolatile memories for high performance neurocomputing and neurooptimization
inferred← citeshttps://doi.org/10.1038/s41467-020-19203-zopenalex-snapshot
Graphene memristive synapses for high precision neuromorphic computing
inferred← citeshttps://doi.org/10.1038/s41467-021-24260-zopenalex-snapshot
Avalanches and edge-of-chaos learning in neuromorphic nanowire networks
inferred← citeshttps://doi.org/10.1038/s41467-021-26012-5openalex-snapshot
Reconfigurable Stochastic neurons based on tin oxide/MoS2 hetero-memristors for simulated annealing and the Boltzmann machine
inferred← citeshttps://doi.org/10.1038/s41467-023-42028-5openalex-snapshot
In-situ electro-responsive through-space coupling enabling foldamers as volatile memory elements
inferred← citeshttps://doi.org/10.1038/s41467-023-44365-xopenalex-snapshot
Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systems
inferred← citeshttps://doi.org/10.1038/s41467-024-47764-wopenalex-snapshot
DenRAM: neuromorphic dendritic architecture with RRAM for efficient temporal processing with delays
inferred← citeshttps://doi.org/10.1038/s41467-024-48905-xopenalex-snapshot
BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network
inferred← citeshttps://doi.org/10.1038/s41467-024-49668-1openalex-snapshot
Unravelling the operation of organic artificial neurons for neuromorphic bioelectronics
inferred← citeshttps://doi.org/10.1038/s41563-019-0291-xopenalex-snapshot
Memristive crossbar arrays for brain-inspired computing
inferred← citeshttps://doi.org/10.1038/s41565-020-0655-zopenalex-snapshot
Memory devices and applications for in-memory computing
inferred← citeshttps://doi.org/10.1038/s41578-019-0159-3openalex-snapshot
Resistive switching materials for information processing
inferred← citeshttps://doi.org/10.1038/s41586-020-1942-4openalex-snapshot
Fully hardware-implemented memristor convolutional neural network
inferred← citeshttps://doi.org/10.1038/s41598-017-05480-0openalex-snapshot
Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity
inferred← citeshttps://doi.org/10.1038/s41598-017-09565-8openalex-snapshot
Intrinsic Resistance Switching in Amorphous Silicon Suboxides: The Role of Columnar Microstructure
inferred← citeshttps://doi.org/10.1038/s41598-017-17785-1openalex-snapshot
Multibit memory operation of metal-oxide bi-layer memristors
inferred← citeshttps://doi.org/10.1038/s41598-018-25376-xopenalex-snapshot
Evidence of soft bound behaviour in analogue memristive devices for neuromorphic computing
inferred← citeshttps://doi.org/10.1038/s41598-018-27033-9openalex-snapshot
Unsupervised Hebbian learning experimentally realized with analogue memristive crossbar arrays
inferred← citeshttps://doi.org/10.1038/s41598-018-30768-0openalex-snapshot
Handwritten-Digit Recognition by Hybrid Convolutional Neural Network based on HfO2 Memristive Spiking-Neuron
inferred← citeshttps://doi.org/10.1038/s41598-018-38181-3openalex-snapshot
Using Memristors for Robust Local Learning of Hardware Restricted Boltzmann Machines
inferred← citeshttps://doi.org/10.1038/s41598-019-44607-3openalex-snapshot
An electrical characterisation methodology for identifying the switching mechanism in TiO2 memristive stacks
inferred← citeshttps://doi.org/10.1038/s41598-019-55322-4openalex-snapshot
An Electrical Characterisation Methodology for Benchmarking Memristive Device Technologies
inferred← citeshttps://doi.org/10.1038/s41598-020-58831-9openalex-snapshot
Memristive synapses connect brain and silicon spiking neurons
inferred← citeshttps://doi.org/10.1038/s41598-020-71962-3openalex-snapshot
Monitoring PSA levels as chemical state-variables in metal-oxide memristors
inferred← citeshttps://doi.org/10.1038/s41598-020-76333-6openalex-snapshot
Effects of top electrode material in hafnium-oxide-based memristive systems on highly-doped Si
inferred← citeshttps://doi.org/10.1038/s41598-021-97583-yopenalex-snapshot
Stochastic binary synapses having sigmoidal cumulative distribution functions for unsupervised learning with spike timing-dependent plasticity
inferred← citeshttps://doi.org/10.1038/s41928-018-0023-2openalex-snapshot
Fully memristive neural networks for pattern classification with unsupervised learning
inferred← citeshttps://doi.org/10.1038/s41928-018-0069-1openalex-snapshot
Probing memristive switching in nanoionic devices
inferred← citeshttps://doi.org/10.1038/s41928-019-0221-6openalex-snapshot
Reinforcement learning with analogue memristor arrays
inferred← citeshttps://doi.org/10.1038/s41928-020-00523-3openalex-snapshot
In situ learning using intrinsic memristor variability via Markov chain Monte Carlo sampling
inferred← citeshttps://doi.org/10.1038/s41928-020-0435-7openalex-snapshot
Neuro-inspired computing chips
inferred← citeshttps://doi.org/10.1038/s41928-021-00562-4openalex-snapshot
Low-power electronic technologies for harsh radiation environments
inferred← citeshttps://doi.org/10.1038/s42254-020-0208-2openalex-snapshot
Physics for neuromorphic computing
inferred← citeshttps://doi.org/10.1039/bk9781839169946-00060openalex-snapshot
Organic Resistive Memories for Neuromorphic Electronics
inferred← citeshttps://doi.org/10.1039/bk9781839169946-00622openalex-snapshot
Hybrid Devices for Neuromorphic Applications
inferred← citeshttps://doi.org/10.1039/c7tc05326fopenalex-snapshot
Emerging perovskite materials for high density data storage and artificial synapses
inferred← citeshttps://doi.org/10.1039/c8fd00109jopenalex-snapshot
Synaptic dynamics in complex self-assembled nanoparticle networks
inferred← citeshttps://doi.org/10.1039/c8fd00114fopenalex-snapshot
A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: from mitigation to exploitation
inferred← citeshttps://doi.org/10.1039/c8nr07442aopenalex-snapshot
A bio-inspired physically transient/biodegradable synapse for security neuromorphic computing based on memristors
inferred← citeshttps://doi.org/10.1039/c9nj02433fopenalex-snapshot
pH-Modulated memristive behavior based on an edible garlic-constructed bio-electronic device
inferred← citeshttps://doi.org/10.1039/d0mh01759kopenalex-snapshot
Threshold switching memristor-based stochastic neurons for probabilistic computing
inferred← citeshttps://doi.org/10.1039/d0nr02184aopenalex-snapshot
Nano-engineering and functionalization of hybrid Au–Me x O y –TiO 2 (Me = W, Ga) hetero-interfaces for optoelectronic receptors and nociceptors
inferred← citeshttps://doi.org/10.1039/d3mh02055jopenalex-snapshot
High-performance one-dimensional halide perovskite crossbar memristors and synapses for neuromorphic computing
inferred← citeshttps://doi.org/10.1039/d5nh00779hopenalex-snapshot
Solution-processed SnO 2 /SnS 2 bilayer-based robust memristors for reliable neuromorphic computing
inferred← citeshttps://doi.org/10.1039/d5nr01509jopenalex-snapshot
2D MoTe 2 memristors for energy-efficient artificial synapses and neuromorphic applications
inferred← citeshttps://doi.org/10.1063/1.5009069openalex-snapshot
Light-activated resistance switching in SiOx RRAM devices
inferred← citeshttps://doi.org/10.1063/1.5040936openalex-snapshot
Conduction mechanisms at distinct resistive levels of Pt/TiO2-x/Pt memristors
inferred← citeshttps://doi.org/10.1063/1.5113536openalex-snapshot
Pathways to efficient neuromorphic computing with non-volatile memory technologies
inferred← citeshttps://doi.org/10.1063/1.5124027openalex-snapshot
Brain-inspired computing with memristors: Challenges in devices, circuits, and systems
inferred← citeshttps://doi.org/10.1063/1.5129557openalex-snapshot
A novel memristor-based dynamical system with multi-wing attractors and symmetric periodic bursting
inferred← citeshttps://doi.org/10.1063/5.0063078openalex-snapshot
High-speed Si films based threshold switching device and its artificial neuron application
inferred← citeshttps://doi.org/10.1063/5.0173662openalex-snapshot
Noise tailoring, noise annealing, and external perturbation injection strategies in memristive Hopfield neural networks
inferred← citeshttps://doi.org/10.1063/5.0181382openalex-snapshot
Training self-learning circuits for power-efficient solutions
inferred← citeshttps://doi.org/10.1063/5.0215152openalex-snapshot
Traveling waves in an ensemble of excitable oscillators: The interplay of memristive coupling and noise
inferred← citeshttps://doi.org/10.1063/5.0218348openalex-snapshot
Tunable spike-timing-dependent plasticity in magnetic skyrmion manipulation chambers
inferred← citeshttps://doi.org/10.1088/1361-6463/aad954openalex-snapshot
Role of synaptic variability in resistive memory-based spiking neural networks with unsupervised learning
inferred← citeshttps://doi.org/10.1088/1361-6463/aadbd2openalex-snapshot
Electrical characteristics of interfacial barriers at metal—TiO2 contacts
inferred← citeshttps://doi.org/10.1088/1361-6463/aade3fopenalex-snapshot
Review of memristor devices in neuromorphic computing: materials sciences and device challenges
inferred← citeshttps://doi.org/10.1088/1361-6463/aae223openalex-snapshot
Memristor devices for neural networks
inferred← citeshttps://doi.org/10.1088/1361-6463/ab24a7openalex-snapshot
Modeling framework and comparison of memristive devices and associated STDP learning windows for neuromorphic applications
inferred← citeshttps://doi.org/10.1088/1361-6528/28/2/025303openalex-snapshot
Resistive switching of Pt/TiO x /Pt devices fabricated on flexible Parylene-C substrates
inferred← citeshttps://doi.org/10.1088/1361-6528/aad2faopenalex-snapshot
Self-controlled multilevel writing architecture for fast training in neuromorphic RRAM applications
inferred← citeshttps://doi.org/10.1088/1361-6528/aae81copenalex-snapshot
Extended memory lifetime in spiking neural networks employing memristive synapses with nonlinear conductance dynamics
inferred← citeshttps://doi.org/10.1088/1361-6528/ab3c3dopenalex-snapshot
Ultra-wide temperature electronic synapses based on self-rectifying ferroelectric memristors
inferred← citeshttps://doi.org/10.1088/1361-6528/ab4a6dopenalex-snapshot
Self-adaptive STDP-based learning of a spiking neuron with nanocomposite memristive weights
inferred← citeshttps://doi.org/10.1088/1361-6528/ab554bopenalex-snapshot
Emerging neuromorphic devices
inferred← citeshttps://doi.org/10.1088/1361-6528/ad857fopenalex-snapshot
Artificial synapses based on HfOx/TiOy memristor devices for neuromorphic applications
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