In situ training of feed-forward and recurrent convolutional memristor networks

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Memory device based on MoS2-polyvinyl alcohol for simulating synaptic behavior

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Unraveling the Interplay Between Memristive and Magnetoresistive Behaviors in LaCoO 3 /SrTiO 3 Superlattice‐Based Neural Synaptic Devices

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Nonlinear Weight Quantification for Mitigating Stress Induced Disturb Effect on Multilevel RRAM-Based Neural Network Accelerator

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1-HEMT-1-Memristor With Hardware Encryptor for Privacy-Preserving Image Processing

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Synaptic devices based on organic ferroelectric memtransistor with arithmetic calculating and logic functions

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Parallel Operation of Self‐Limited Analog Programming for Fast Array‐Level Weight Programming and Update

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Transparent ZnO/In 2 O 3 Heterojunction Artificial Synapse for Neuromorphic Computing and Logical Operations

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Memristive floating-point Fourier neural operator network for efficient scientific modeling

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Synaptic transistor based on PVK mixed with oxadiazole and its logic gate application

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Difficulties and approaches in enabling learning-in-memory using crossbar arrays of memristors

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A Cascaded Duplex Organic Vertical Memory with Learning Rate Scheduling for Efficient Artificial Neural Network Training

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All Hardware-Based Two-Layer Perceptron Implemented in Memristor Crossbar Arrays

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BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing

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Ta/HfO2 memristors: from device physics to neural networks

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Prediction of Temperature and Loading History Dependent Lumbar Spine Biomechanics Under Cyclic Loading Using Recurrent Neural Networks

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Fast and Accurate Weight Updating Strategy for Resistive Random-Access Memory (RRAM)-Based Neural Networks

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State-Space Modeling and Tuning of Memristors for Neuromorphic Computing Applications

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Inverter and Ternary Content‐Addressable Memory Based on Carbon Nanotube Transistors Using Chemical Doping Strategy

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A Multifault‐Tolerant Training Scheme for Nonideal Memristive Neural Networks

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Mem-elements based Neuromorphic Hardware for Neural Network ApplicationPreprint

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Reservoir Computing Based on ZnWO 4-x /WO 3-x Heterojunction Optoelectronic Memristor for Time-Series Data and Static Image Processing

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Bandgap-Engineered Side-Path Synaptic Device Utilizing High- κ Materials for Low-Power Operation

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Hybrid functional 3D artificial synapses for convolution and reinforcement learning

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ViP-HMNN: a visual pathway-inspired hybrid neural network incorporated with in-memory computing for object recognition

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Tunable, Nucleation-Driven Stochasticity in Nanoscale Silicon Oxide Resistive Switching Memory Devices

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Tilt‐Engineered Molecular‐Scale Selector for Enhanced Learning in Artificial Neural Networks

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Historical perspective and opportunity for computing in memory using floating-gate and resistive non-volatile computing including neuromorphic computing

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Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

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RRAM-Based Isotropic CNNs with High Robustness and Resource Utilization Rate

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Fast and Accurate Output Error Estimation for Memristor-Based Deep Neural Networks

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All-optical convolutional neural network with on-chip integrable optical average pooling for image classification

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Optical backpropagation training method and its applications

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Nonlinear Weight Quantification for Mitigating Read Disturb Effect on Multilevel RRAM-Based Neural Network

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Analogue In-Memory Computing with Resistive Switching Memories

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Fluorescence matrix–vector multiplication: realization of in-memory-display computing

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Improved Memristor Control using Device Physics and Deep Reinforcement Learning

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Memristive devices and arrays for neuromorphic computing

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A Brain-inspired Fully Hardware Hopfield Neural Network based on Memristive Arrays

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Input-Independent Array Compensation in Memristor-Arrays-Based Neuromorphic Systems for Input Resistance

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A physics-based predictive model for pulse design to realize high-performance memristive neural networks

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Biological Dynamics Enabling Training of Binary Recurrent Networks

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Computational Model of Ta2O5/TaOx Memristors: Predicting Resistive Switching Behavior and Filament Growth Dynamics for Enhanced Device Control and Optimization

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Energy- and Area-Efficient CMOS Neuron and Max Pooling Circuit for RRAM-Based CNN Accelerators

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Real-time raw signal genomic analysis using fully integrated memristor hardware

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Special Topics in Information Technology

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Convolutional Locality-Sensitive Dictionary Learning for Facial Expressions Detection

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PyMem: A Graphical User Interface Tool for Neuromemristive Hardware–Software Co-Design

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A Multi-conductance States Memristor-based CNN Circuit Using Quantization Method for Digital Recognition

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Two‐Terminal Neuromorphic Memristors

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Neuromorphic Computing Based on Memristor Dynamics

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A tool for emulating neuromorphic architectures with memristive models and devices

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Stochastic Emerging Resistive Memories for Unconventional Computing

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Genetic Algorithm-Based Training Method for Memristor Neural Networks

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Quantum conductance states in Ni/Mo/MoO3/Ni memristors: implications for multi-level neuromorphic computing

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Memristor-based multilayer neural network with edge learning and weight update

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Energy efficient training of private recommendation systems using multi-armed bandit models and analog in-memory computing

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Evolution of Neural Network Models and Computing-in-Memory Architectures

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A hardware-adaptive learning algorithm for superlinear-capacity associative memory on memristor crossbars

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Role of the orthorhombic phase in endurance degradation of Hf0.5Zr0.5O2 memristors

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Synaptic Dynamics in Soft PVA-Based Electrolytes for Neuromorphic Computing

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An organic memristor for monitoring embryonic development through digital circuit sensing and image recognition

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2D materials for neuromorphic devices

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HESSPROP: Mitigating Memristive DNN Weight Mapping Errors with Hessian Backpropagation

Cai, J., Kaleem, M. A., Amirsoleimani, A., & Genov, R. (2023) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas46773.2023.10181445 · Cited by 1

Memristive Devices for Neuromorphic and Deep Learning Applications

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Bio-inspired synaptic behavior simulation in thin-film transistors based on molybdenum disulfide

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Bridging the Gap between Position-Based and Content-Based Self-Attention for Neural Machine Translation

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Information Dimension Matching in Memristive Computing System for Analog Deployment of Deep Neural Networks

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One Step in-Memory Solution of Inverse Algebraic Problems

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The neuromorphic Mosaic: re-configurable in-memory small-world graphsPreprint

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Neuromorphic Computing Systems with Emerging Devices

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CODEX: Stochastic Encoding Method to Relax Resistive Crossbar Accelerator Design RequirementsPreprint

Amirsoleimani, A. (2021) · doi:10.36227/techrxiv.14485215 · Cited by 1

Assessing the Performance of Reinforcement Learning on Passive RRAM Crossbar ArrayPreprint

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Introductory Chapter: Challenges in Neuro-Memristive Circuit Design

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Bridging the Band Gap: What Device Physicists Need to Know About Machine LearningPreprint

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CODEX: Stochastic Encoding Method to Relax Resistive Crossbar Accelerator Design RequirementsPreprint

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Defect tolerant in-memory analog computing with CMOS-integrated nanoscale crossbars: Invited

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Peer Review #2 of "Today’s computing challenges: opportunities for computer hardware design (v0.2)"

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Peer Review #1 of "Today’s computing challenges: opportunities for computer hardware design (v0.1)"

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Two-Order Associative Memory Circuit Hardware-Implemented by the Evolution of Memristive SystemPreprint

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Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays

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Assessing the Performance of Reinforcement Learning on Passive RRAM Crossbar ArrayPreprint

Tyagi, A., & Sahay, S. (2023) · doi:10.36227/techrxiv.22347277.v1

Organic Resistive Memories for Neuromorphic Electronics

Zhuang, Y., Liu, S., & Zhao, Q. (2023) · Royal Society of Chemistry eBooks · doi:10.1039/bk9781839169946-00060

A Memristor-Based Adaptive Pooling Network for Cnn OptimizationPreprint

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Memristive devices

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基于电导约束构建高精确度的图像识别网络

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Intelligent Recommendation Algorithm for New Media Content Based on AI Technology

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Memristor Resistance State Tuning with High-Frequency Periodic Inputs

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Artificial neurons made of active matter memristors

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CIM-BLAS: Computing-in-Memory Accelerator for BLAS

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Neuromorphic Computing With Emerging Memories

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Effects of Different Conductance Mechanisms and Temperature on Memristive Neural Networks

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