Reliability of analog resistive switching memory for neuromorphic computing

Memristive crossbar arrays for brain-inspired computing

(2019) Qiangfei Xia et al.   NATURE MATERIALS

Performance Impacts of Analog ReRAM Non-ideality on Neuromorphic Computing

(2019) Yu-Hsuan Lin et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Resistive RAM Endurance: Array-Level Characterization and Correction Techniques Targeting Deep Learning Applications

(2019) Alessandro Grossi et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

A Physics-Based Compact Model for CBRAM Retention Behaviors Based on Atom Transport Dynamics and Percolation Theory

(2019) Yudi Zhao et al.   IEEE ELECTRON DEVICE LETTERS

Study on High-Density Integration Resistive Random Access Memory Array From Multiphysics Perspective by Parallel Computing

(2019) Guodong Zhu et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Learning the signatures of the human grasp using a scalable tactile glove

(2019) Subramanian Sundaram et al.   NATURE

Improving linearity by introducing Al in HfO2 as memristor synapse device

(2019) sridhar chandrasekaran et al.   NANOTECHNOLOGY

Quick-and-Dirty: An Architecture for High-Performance Temporary Short Writes in MLC PCM

(2019) Mingzhe Zhang et al.   IEEE TRANSACTIONS ON COMPUTERS

A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers

(2018) Thomas E. Potok et al.   ACM Journal on Emerging Technologies in Computing Systems

Training Fully Connected Networks with Resistive Memories: Impact of device failures

(2018) Louis P. Romero et al.   FARADAY DISCUSSIONS

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Insight Into the Mechanism of Tail Bits in Data Retention of Vacancy-Modulated Conductive Oxide RRAM

(2018) Sang-Gyu Koh et al.   IEEE ELECTRON DEVICE LETTERS

Equivalent-accuracy accelerated neural-network training using analogue memory

(2018) Stefano Ambrogio et al.   NATURE

SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations

(2018) Shinhyun Choi et al.   NATURE MATERIALS

Neuro-Inspired Computing With Emerging Nonvolatile Memorys

(2018) Shimeng Yu   PROCEEDINGS OF THE IEEE

Efficient and self-adaptive in-situ learning in multilayer memristor neural networks

(2018) Can Li et al.   Nature Communications

A molecular neuromorphic network device consisting of single-walled carbon nanotubes complexed with polyoxometalate

(2018) Hirofumi Tanaka et al.   Nature Communications

Training Fully Connected Networks with Resistive Memories: Impact of device failures

(2018) Louis P. Romero et al.   FARADAY DISCUSSIONS

Weighted Synapses Without Carry Operations for RRAM-Based Neuromorphic Systems

(2018) Yan Liao et al.   Frontiers in Neuroscience

Mitigating Asymmetric Nonlinear Weight Update Effects in Hardware Neural Network Based on Analog Resistive Synapse

(2018) Chih-Cheng Chang et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Stuck-at Fault Tolerance in RRAM Computing Systems

(2018) Lixue Xia et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Compensated Synaptic Device for Improved Recognition Accuracy of Neuromorphic System

(2018) Chuljun Lee et al.   IEEE Journal of the Electron Devices Society

Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part I: Al/Mo/Pr0.7Ca0.3MnO3 Material Improvements and Device Measurements

(2018) Kibong Moon et al.   IEEE Journal of the Electron Devices Society

Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems

(2018) Qingtian Zhang et al.   NEURAL NETWORKS

Toward on-chip acceleration of the backpropagation algorithm using nonvolatile memory

(2017) P. Narayanan et al.   IBM JOURNAL OF RESEARCH AND DEVELOPMENT

HfZrOx-Based Ferroelectric Synapse Device With 32 Levels of Conductance States for Neuromorphic Applications

(2017) Seungyeol Oh et al.   IEEE ELECTRON DEVICE LETTERS

Improved Conductance Linearity and Conductance Ratio of 1T2R Synapse Device for Neuromorphic Systems

(2017) Kibong Moon et al.   IEEE ELECTRON DEVICE LETTERS

Brain Intelligence: Go beyond Artificial Intelligence

(2017) Huimin Lu et al.   MOBILE NETWORKS & APPLICATIONS

An approximate backpropagation learning rule for memristor based neural networks using synaptic plasticity

(2017) D. Negrov et al.   NEUROCOMPUTING

Face classification using electronic synapses

(2017) Peng Yao et al.   Nature Communications

High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell Arrays

(2017) Farnood Merrikh-Bayat et al.   IEEE Transactions on Neural Networks and Learning Systems

Nanoionics-Enabled Memristive Devices: Strategies and Materials for Neuromorphic Applications

(2017) Zhiyong Wang et al.   Advanced Electronic Materials

Multibit memory operation of metal-oxide bi-layer memristors

(2017) Spyros Stathopoulos et al.   Scientific Reports

Improved Synaptic Behavior Under Identical Pulses Using AlOx/HfO2Bilayer RRAM Array for Neuromorphic Systems

(2016) Jiyong Woo et al.   IEEE ELECTRON DEVICE LETTERS

TiOx-Based RRAM Synapse With 64-Levels of Conductance and Symmetric Conductance Change by Adopting a Hybrid Pulse Scheme for Neuromorphic Computing

(2016) Jaesung Park et al.   IEEE ELECTRON DEVICE LETTERS

A Phase Change Memory Cell With Metal Nitride Liner as a Resistance Stabilizer to Reduce Read Current Noise for MLC Optimization

(2016) SangBum Kim et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

HfO2/Al2O3multilayer for RRAM arrays: a technique to improve tail-bit retention

(2016) Xueyao Huang et al.   NANOTECHNOLOGY

3D Ta/TaOx/TiO2/Ti synaptic array and linearity tuning of weight update for hardware neural network applications

(2016) I-Ting Wang et al.   NANOTECHNOLOGY

Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

(2016) Zhongrui Wang et al.   NATURE MATERIALS

Multilevel-Cell Phase-Change Memory: A Viable Technology

(2016) Aravinthan Athmanathan et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Memristors for Energy-Efficient New Computing Paradigms

(2016) Doo Seok Jeong et al.   Advanced Electronic Materials

A Novel Program-Verify Algorithm for Multi-Bit Operation in HfO2 RRAM

(2015) F. M. Puglisi et al.   IEEE ELECTRON DEVICE LETTERS

Cell-to-Cell and Cycle-to-Cycle Retention Statistics in Phase-Change Memory Arrays

(2015) Maurizio Rizzi et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Noise-Induced Resistance Broadening in Resistive Switching Memory—Part I: Intrinsic Cell Behavior

(2015) Stefano Ambrogio et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element

(2015) Geoffrey W. Burr et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Fully parallel write/read in resistive synaptic array for accelerating on-chip learning

(2015) Ligang Gao et al.   NANOTECHNOLOGY

Training and operation of an integrated neuromorphic network based on metal-oxide memristors

(2015) M. Prezioso et al.   NATURE

A new spin on magnetic memories

(2015) Andrew D. Kent et al.   Nature Nanotechnology

Nanoscale cation motion in TaOx, HfOx and TiOx memristive systems

(2015) Anja Wedig et al.   Nature Nanotechnology

Ultra-Low-Energy Three-Dimensional Oxide-Based Electronic Synapses for Implementation of Robust High-Accuracy Neuromorphic Computation Systems

(2014) Bin Gao et al.   ACS Nano

Noise as a Resource for Computation and Learning in Networks of Spiking Neurons

(2014) Wolfgang Maass   PROCEEDINGS OF THE IEEE

A million spiking-neuron integrated circuit with a scalable communication network and interface

(2014) P. A. Merolla et al.   SCIENCE

Current Conduction Model for Oxide-Based Resistive Random Access Memory Verified by Low-Frequency Noise Analysis

(2013) Z. Fang et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Pattern classification by memristive crossbar circuits using ex situ and in situ training

(2013) Fabien Alibart et al.   Nature Communications

First-principles simulation of oxygen diffusion in HfOx: Role in the resistive switching mechanism

(2012) S. Clima et al.   APPLIED PHYSICS LETTERS

High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm

(2012) Fabien Alibart et al.   NANOTECHNOLOGY

Memristive devices for computing

(2012) J. Joshua Yang et al.   Nature Nanotechnology

A High-Yield $\hbox{HfO}_{x}$-Based Unipolar Resistive RAM Employing Ni Electrode Compatible With Si-Diode Selector for Crossbar Integration

(2011) X. A. Tran et al.   IEEE ELECTRON DEVICE LETTERS

A fast, high-endurance and scalable non-volatile memory device made from asymmetric Ta2O5−x/TaO2−x bilayer structures

(2011) Myoung-Jae Lee et al.   NATURE MATERIALS

Resistance-dependent amplitude of random telegraph-signal noise in resistive switching memories

(2010) Daniele Ielmini et al.   APPLIED PHYSICS LETTERS

Nanoscale Memristor Device as Synapse in Neuromorphic Systems

(2010) Sung Hyun Jo et al.   NANO LETTERS

Learning long-range vision for autonomous off-road driving

(2009) Raia Hadsell et al.   Journal of Field Robotics

Relationship between resistive switching characteristics and band diagrams ofTi/Pr1−xCaxMnO3junctions

(2009) S. Asanuma et al.   PHYSICAL REVIEW B

Modeling of Programming and Read Performance in Phase-Change Memories—Part II: Program Disturb and Mixed-Scaling Approach

(2008) Ugo Russo et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Phase change materials and their application to random access memory technology

(2008) Simone Raoux et al.   MICROELECTRONIC ENGINEERING