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Face classification using electronic synapses
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A Low Energy Oxide‐Based Electronic Synaptic Device for Neuromorphic Visual Systems with Tolerance to Device Variation
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Learning long‐range vision for autonomous off‐road driving
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ImageNet Large Scale Visual Recognition Challenge
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A comprehensive study of energy efficiency and performance of flash-based SSD
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The perceptron: A probabilistic model for information storage and organization in the brain.
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Human-level control through deep reinforcement learning
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inferredcites →https://doi.org/10.1038/ncomms3072openalex-snapshot
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inferredcites →https://doi.org/10.1038/nmat3054openalex-snapshot
Short-term plasticity and long-term potentiation mimicked in single inorganic synapses
inferredcites →https://doi.org/10.1038/nnano.2015.29openalex-snapshot
Memory leads the way to better computing
inferredcites →https://doi.org/10.1038/srep10123openalex-snapshot
Electronic system with memristive synapses for pattern recognition
inferredcites →https://doi.org/10.1088/0957-4484/24/38/382001openalex-snapshot
Synaptic electronics: materials, devices and applications
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/10.1109/34.598228openalex-snapshot
Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/iedm.2015.7409622openalex-snapshot
Device and system level design considerations for analog-non-volatile-memory based neuromorphic architectures
inferredcites →https://doi.org/10.1109/ijcnn.2008.4633828openalex-snapshot
Wafer-scale integration of analog neural networks
inferredcites →https://doi.org/10.1109/ijcnn.2008.4634199openalex-snapshot
SpiNNaker: Mapping neural networks onto a massively-parallel chip multiprocessor
inferredcites →https://doi.org/10.1109/isca.2016.30openalex-snapshot
EIE: Efficient Inference Engine on Compressed Deep Neural Network
inferredcites →https://doi.org/10.1109/islped.2013.6629328openalex-snapshot
Energy characterization and instruction-level energy model of Intel's Xeon Phi processor
inferredcites →https://doi.org/10.1109/jproc.2014.2313565openalex-snapshot
Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations
inferredcites →https://doi.org/10.1109/led.2015.2481819openalex-snapshot
Programming Protocol Optimization for Analog Weight Tuning in Resistive Memories
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/tnn.2006.883007openalex-snapshot
Dynamically Reconfigurable Silicon Array of Spiking Neurons With Conductance-Based Synapses
inferredcites →https://doi.org/10.1126/science.1127647openalex-snapshot
Reducing the Dimensionality of Data with Neural Networks
inferredcites →https://doi.org/10.1126/science.1254642openalex-snapshot
A million spiking-neuron integrated circuit with a scalable communication network and interface
inferredcites →https://doi.org/10.1186/s40537-014-0007-7openalex-snapshot
Deep learning applications and challenges in big data analytics
inferredcites →https://doi.org/10.3389/fnins.2016.00333openalex-snapshot
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1002/aisy.201900118openalex-snapshot
Artificial Perception Built on Memristive System: Visual, Auditory, and Tactile Sensations
inferred← citeshttps://doi.org/10.1002/aisy.202000011openalex-snapshot
Weight Update Generation Circuit Utilizing Phase Noise of Integrated Complementary Metal–Oxide–Semiconductor Ring Oscillator for Memristor Crossbar Array Neural Network‐Based Stochastic Learning
inferred← citeshttps://doi.org/10.1002/aisy.202000014openalex-snapshot
Parallel Operation of Self‐Limited Analog Programming for Fast Array‐Level Weight Programming and Update
inferred← citeshttps://doi.org/10.1002/aisy.202000040openalex-snapshot
Device and Circuit Architectures for In‐Memory Computing
inferred← citeshttps://doi.org/10.1002/aisy.202000079openalex-snapshot
Programmable Photoelectric Memristor Gates for In Situ Image Compression
inferred← citeshttps://doi.org/10.1002/aisy.202000099openalex-snapshot
Optoelectronic Synaptic Devices for Neuromorphic Computing
inferred← citeshttps://doi.org/10.1002/aisy.202000105openalex-snapshot
Memristive Devices for New Computing Paradigms
inferred← citeshttps://doi.org/10.1002/aisy.202000111openalex-snapshot
Recent Advancements in Emerging Neuromorphic Device Technologies
inferred← citeshttps://doi.org/10.1002/aisy.202000122openalex-snapshot
Switchable Perovskite Photovoltaic Sensors for Bioinspired Adaptive Machine Vision
inferred← citeshttps://doi.org/10.1002/aisy.202000137openalex-snapshot
Hardware Implementation of Neuromorphic Computing Using Large‐Scale Memristor Crossbar Arrays
inferred← citeshttps://doi.org/10.1002/aisy.202000149openalex-snapshot
Artificial Neural Networks Based on Memristive Devices: From Device to System
inferred← citeshttps://doi.org/10.1002/aisy.202000180openalex-snapshot
Recent Progress of Protein‐Based Data Storage and Neuromorphic Devices
inferred← citeshttps://doi.org/10.1002/aisy.202000196openalex-snapshot
Highly Uniform All‐Vacuum‐Deposited Inorganic Perovskite Artificial Synapses for Reservoir Computing
inferred← citeshttps://doi.org/10.1002/aisy.202000202openalex-snapshot
Efficient Defect Identification via Oxide Memristive Crossbar Array Based Morphological Image Processing
inferred← citeshttps://doi.org/10.1002/aisy.202100017openalex-snapshot
Memristive Crossbar Arrays for Storage and Computing Applications
inferred← citeshttps://doi.org/10.1002/aisy.202100249openalex-snapshot
Efficient Training of the Memristive Deep Belief Net Immune to Non‐Idealities of the Synaptic Devices
inferred← citeshttps://doi.org/10.1002/aisy.202100273openalex-snapshot
4‐bit Multilevel Operation in Overshoot Suppressed Al 2 O 3 /TiO x Resistive Random‐Access Memory Crossbar Array
inferred← citeshttps://doi.org/10.1002/aisy.202170010openalex-snapshot
Highly Uniform All‐Vacuum‐Deposited Inorganic Perovskite Artificial Synapses for Reservoir Computing
inferred← citeshttps://doi.org/10.1002/aisy.202200027openalex-snapshot
Convolutional Echo‐State Network with Random Memristors for Spatiotemporal Signal Classification
inferred← citeshttps://doi.org/10.1002/aisy.202200031openalex-snapshot
A Memristor‐Based Bioinspired Multimodal Sensory Memory System for Sensory Adaptation of Robots
inferred← citeshttps://doi.org/10.1002/aisy.202200053openalex-snapshot
Forming‐Free Resistive Switching Memory Crosspoint Arrays for In‐Memory Machine Learning
inferred← citeshttps://doi.org/10.1002/aisy.202200173openalex-snapshot
Memristive Cosine‐Similarity‐Based Few‐Shot Learning with Lifelong Memory Adaptation
inferred← citeshttps://doi.org/10.1002/aisy.202200177openalex-snapshot
Memristor‐Based Security Primitives Robust to Malicious Attacks for Highly Secure Neuromorphic Systems
inferred← citeshttps://doi.org/10.1002/aisy.202200328openalex-snapshot
An Image Detection–Memory–Recognition Artificial Visual Unit Based on Dual‐Gate Phototransistors
inferred← citeshttps://doi.org/10.1002/aisy.202200434openalex-snapshot
Integration of Neuromorphic and Reconfigurable Logic‐in‐Memory Operations in an Electrolyte‐Manipulated Ferroelectric Organic Neuristor
inferred← citeshttps://doi.org/10.1002/aisy.202300586openalex-snapshot
Perovskite‐Nanowire‐Array‐Based Continuous‐State Programmable Artificial Synapse for Neuromorphic Computing
inferred← citeshttps://doi.org/10.1002/aisy.202400710openalex-snapshot
Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network
inferred← citeshttps://doi.org/10.1002/aisy.202500806openalex-snapshot
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
inferred← citeshttps://doi.org/10.1002/aisy.202500843openalex-snapshot
Device‐Level Implementation of Reservoir Computing With Memristors
inferred← citeshttps://doi.org/10.1002/ange.202413311openalex-snapshot
Dual Redox‐active Covalent Organic Framework‐based Memristors for Highly‐efficient Neuromorphic Computing
inferred← citeshttps://doi.org/10.1002/anie.202413311openalex-snapshot
Dual Redox‐active Covalent Organic Framework‐based Memristors for Highly‐efficient Neuromorphic Computing
inferred← citeshttps://doi.org/10.1002/cpe.7997openalex-snapshot
An overview memristor based hardware accelerators for deep neural network
inferred← citeshttps://doi.org/10.1002/cta.3377openalex-snapshot
Reconfigurable multivalued memristor FPGA model for digital recognition
inferred← citeshttps://doi.org/10.1002/flm2.36openalex-snapshot
Flexible ionic‐gel synapse devices and their applications in neuromorphic system
inferred← citeshttps://doi.org/10.1002/inf2.12158openalex-snapshot
Flexible 3D memristor array for binary storage and multi‐states neuromorphic computing applications
inferred← citeshttps://doi.org/10.1002/inf2.12473openalex-snapshot
Retinomorphic hardware for in‐sensor computing
inferred← citeshttps://doi.org/10.1002/inf2.70166openalex-snapshot
Enhanced spontaneous polarization in directional interlayer sliding γ‐ InSe for self‐powered, all‐day visual adaptation and motion perception
inferred← citeshttps://doi.org/10.1002/ppsc.202200131openalex-snapshot
Neuronal‐like Irregular Spiking Dynamics in Highly Volatile Memristive Intermediate‐scale AgPt‐Nanoparticle Assemblies
inferred← citeshttps://doi.org/10.1002/pssa.201700875openalex-snapshot
Neuromorphic Computing with Memristor Crossbar
inferred← citeshttps://doi.org/10.1002/pssa.202000534openalex-snapshot
Facile Approach for Improving Synaptic Modulation of Analog Resistive Characteristics by Embedding Oxygen Vacancies‐Rich Sub‐TaOx in Pt/Ta2O5/Ti Device Stacks
inferred← citeshttps://doi.org/10.1002/pssr.201800644openalex-snapshot
Functional Non‐Volatile Memory Devices: From Fundamentals to Photo‐Tunable Properties
inferred← citeshttps://doi.org/10.1002/pssr.201800674openalex-snapshot
Ionotronic Neuromorphic Devices for Bionic Neural Network Applications
inferred← citeshttps://doi.org/10.1002/pssr.201900029openalex-snapshot
Memristive Devices and Networks for Brain‐Inspired Computing
inferred← citeshttps://doi.org/10.1002/pssr.201900082openalex-snapshot
Photonic Synapses for Ultrahigh‐Speed Neuromorphic Computing
inferred← citeshttps://doi.org/10.1002/pssr.201900204openalex-snapshot
Analog‐Type Resistive Switching Devices for Neuromorphic Computing
inferred← citeshttps://doi.org/10.1002/pssr.202000394openalex-snapshot
Exploring Phase‐Change Memory: From Material Systems to Device Physics
inferred← citeshttps://doi.org/10.1002/pssr.202400166openalex-snapshot
Implementation of Logic Function and Memristive Behavior in Synthetic Antiferromagnet with Strong Immunity to Perpendicular Magnetic Field Interference
inferred← citeshttps://doi.org/10.1002/smll.201907472openalex-snapshot
The Design of 3D‐Interface Architecture in an Ultralow‐Power, Electrospun Single‐Fiber Synaptic Transistor for Neuromorphic Computing
inferred← citeshttps://doi.org/10.1002/smll.202005491openalex-snapshot
Highly Sensitive Artificial Visual Array Using Transistors Based on Porphyrins and Semiconductors
inferred← citeshttps://doi.org/10.1002/smll.202408618openalex-snapshot
2C‐Ternary Content Addressable Memory in Memcapacitor Crossbar Array with NAND Flash Structure
inferred← citeshttps://doi.org/10.1002/smll.202502740openalex-snapshot
Planar p–n Junction Engineering toward Reconfigurable Organic Synaptic Transistors for High‐Accuracy Neuromorphic Recognition
inferred← citeshttps://doi.org/10.1002/smtd.201900160openalex-snapshot
Analog–Digital Hybrid Memristive Devices for Image Pattern Recognition with Tunable Learning Accuracy and Speed
inferred← citeshttps://doi.org/10.1002/smtd.202301657openalex-snapshot
Synapse Neurotransmitter Channel‐Inspired AlO x Memristor with “V” Type Oxygen Vacancy Distribution
inferred← citeshttps://doi.org/10.1002/sstr.202000109openalex-snapshot
A Review of Resistive Switching Devices: Performance Improvement, Characterization, and Applications
inferred← citeshttps://doi.org/10.1002/sstr.202200064openalex-snapshot
Emerging Low‐Dimensional Heterostructure Devices for Neuromorphic Computing
inferred← citeshttps://doi.org/10.1002/tee.24230openalex-snapshot
Fourier Neural Network Circuit Implementation Based on Direct Weight Determination
inferred← citeshttps://doi.org/10.1007/978-3-030-04167-0_49openalex-snapshot
Efficient Multi-spike Learning with Tempotron-Like LTP and PSD-Like LTD
inferred← citeshttps://doi.org/10.1007/978-3-030-62476-7openalex-snapshot
Special Topics in Information Technology
inferred← citeshttps://doi.org/10.1007/978-3-030-62476-7_6openalex-snapshot
One Step in-Memory Solution of Inverse Algebraic Problems
inferred← citeshttps://doi.org/10.1007/978-3-030-79827-7_29openalex-snapshot
Resistive-Switching Memories
inferred← citeshttps://doi.org/10.1007/978-3-030-79827-7_32openalex-snapshot
Memristive/CMOS Devices for Neuromorphic Applications
inferred← citeshttps://doi.org/10.1007/978-3-030-90582-8_8openalex-snapshot
Ta/HfO2-based Memristor and Crossbar Arrays for In-Memory Computing
inferred← citeshttps://doi.org/10.1007/978-3-031-03841-9_4openalex-snapshot
Analogue In-Memory Computing with Resistive Switching Memories
inferred← citeshttps://doi.org/10.1007/978-3-032-17948-7_7openalex-snapshot
Analog Error-Correcting Codes for Dependable In-Memory Computing of Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-76375-0_17openalex-snapshot
Brain-Inspired Memristive Neural Networks for Unsupervised Learning
inferred← citeshttps://doi.org/10.1007/978-981-13-2826-8_23openalex-snapshot
A Flexible Memristor-Based Neural Network
inferred← citeshttps://doi.org/10.1007/978-981-13-8379-3_7openalex-snapshot
Greedy Edge-Wise Training of Resistive Switch Arrays
inferred← citeshttps://doi.org/10.1007/978-981-15-6912-8_10openalex-snapshot
Resistive Random Access Memory Device Physics and Array Architectures
inferred← citeshttps://doi.org/10.1007/978-981-15-6912-8_12openalex-snapshot
RRAM-Based Neuromorphic Computing Systems
inferred← citeshttps://doi.org/10.1007/978-981-97-6184-5_1openalex-snapshot
Nanotechnology in Societal Development
inferred← citeshttps://doi.org/10.1007/s00339-018-1847-3openalex-snapshot
Diverse spike-timing-dependent plasticity based on multilevel HfO x memristor for neuromorphic computing
inferred← citeshttps://doi.org/10.1007/s10462-021-10060-wopenalex-snapshot
Reduction 93.7% time and power consumption using a memristor-based imprecise gradient update algorithm
inferred← citeshttps://doi.org/10.1007/s10489-024-06091-9openalex-snapshot
DTGA: an in-situ training scheme for memristor neural networks with high performance
inferred← citeshttps://doi.org/10.1007/s10825-020-01470-0openalex-snapshot
Sneak, discharge, and leakage current issues in a high-dimensional 1T1M memristive crossbar
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