Integration and Co-design of Memristive Devices and Algorithms for Artificial Intelligence

Demonstration of 3D Convolution Kernel Function Based on 8-Layer 3D Vertical Resistive Random Access Memory

(2020) Qiang Huo et al.   IEEE ELECTRON DEVICE LETTERS

Fully hardware-implemented memristor convolutional neural network

(2020) Peng Yao et al.   NATURE

An artificial spiking afferent nerve based on Mott memristors for neurorobotics

(2020) Xumeng Zhang et al.   Nature Communications

Coupled oscillators for computing: A review and perspective

(2020) Gyorgy Csaba et al.   Applied Physics Reviews

Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Memory Arrays

(2020) Tifenn Hirtzlin et al.   Frontiers in Neuroscience

A Monolayer Leaky Integrate‐and‐Fire Neuron for 2D Memristive Neuromorphic Networks

(2020) Song Hao et al.   Advanced Electronic Materials

Resistive switching materials for information processing

(2020) Zhongrui Wang et al.   Nature Reviews Materials

Memory devices and applications for in-memory computing

(2020) Abu Sebastian et al.   Nature Nanotechnology

Analog content-addressable memories with memristors

(2020) Can Li et al.   Nature Communications

Accurate deep neural network inference using computational phase-change memory

(2020) Vinay Joshi et al.   Nature Communications

Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices

(2020) Zhongqiang Wang et al.   Nature Communications

Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)

(2020) Jacques Kaiser et al.   Frontiers in Neuroscience

Power-efficient neural network with artificial dendrites

(2020) Xinyi Li et al.   Nature Nanotechnology

A solution to the learning dilemma for recurrent networks of spiking neurons

(2020) Guillaume Bellec et al.   Nature Communications

Toward Scalable, Efficient, and Accurate Deep Spiking Neural Networks With Backward Residual Connections, Stochastic Softmax, and Hybridization

(2020) Priyadarshini Panda et al.   Frontiers in Neuroscience

Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks

(2020) Fuxi Cai et al.   Nature Electronics

Neuro-inspired computing chips

(2020) Wenqiang Zhang et al.   Nature Electronics

Surface diffusion-limited lifetime of silver and copper nanofilaments in resistive switching devices

(2019) Wei Wang et al.   Nature Communications

Subthreshold firing in Mott nanodevices

(2019) Javier del Valle et al.   NATURE

Stochastic Memory Devices for Security and Computing

(2019) Roberto Carboni et al.   Advanced Electronic Materials

Integer factorization using stochastic magnetic tunnel junctions

(2019) William A. Borders et al.   NATURE

Multilevel HfO2-based RRAM devices for low-power neuromorphic networks

(2019) V. Milo et al.   APL Materials

Towards spike-based machine intelligence with neuromorphic computing

(2019) Kaushik Roy et al.   NATURE

Versatile stochastic dot product circuits based on nonvolatile memories for high performance neurocomputing and neurooptimization

(2019) M. R. Mahmoodi et al.   Nature Communications

Spike-shape dependence of the spike-timing dependent synaptic plasticity in ferroelectric-tunnel-junction synapses

(2019) P. Stoliar et al.   Scientific Reports

Memristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine

(2018) Miao Hu et al.   ADVANCED MATERIALS

Computing of Temporal Information in Spiking Neural Networks with ReRAM Synapses

(2018) Wei Wang et al.   FARADAY DISCUSSIONS

An Artificial Neuron Based on a Threshold Switching Memristor

(2018) Xumeng Zhang et al.   IEEE ELECTRON DEVICE LETTERS

Resistive Switching Device Technology Based on Silicon Oxide for Improved ON–OFF Ratio—Part II: Select Devices

(2018) Alessandro Bricalli et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Parasitic Effect Analysis in Memristor-Array-Based Neuromorphic Systems

(2018) YeonJoo Jeong et al.   IEEE TRANSACTIONS ON NANOTECHNOLOGY

Full imitation of synaptic metaplasticity based on memristor devices

(2018) Quantan Wu et al.   Nanoscale

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

Neural-like computing with populations of superparamagnetic basis functions

(2018) Alice Mizrahi et al.   Nature Communications

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

(2018) Can Li et al.   Nature Communications

Computing of Temporal Information in Spiking Neural Networks with ReRAM Synapses

(2018) Wei Wang et al.   FARADAY DISCUSSIONS

Capacitive neural network with neuro-transistors

(2018) Zhongrui Wang et al.   Nature Communications

Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses

(2018) Wei Wang et al.   Science Advances

Vowel recognition with four coupled spin-torque nano-oscillators

(2018) Miguel Romera et al.   NATURE

Highly Compact Artificial Memristive Neuron with Low Energy Consumption

(2018) Yishu Zhang et al.   Small

Biological plausibility and stochasticity in scalable VO2 active memristor neurons

(2018) Wei Yi et al.   Nature Communications

Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits

(2018) M. Prezioso et al.   Nature Communications

Temporal Learning Using Second-Order Memristors

(2017) Mohammed A. Zidan et al.   IEEE TRANSACTIONS ON NANOTECHNOLOGY

A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing

(2017) Yoeri van de Burgt et al.   NATURE MATERIALS

Temporal correlation detection using computational phase-change memory

(2017) Abu Sebastian et al.   Nature Communications

Reservoir computing using dynamic memristors for temporal information processing

(2017) Chao Du et al.   Nature Communications

Face classification using electronic synapses

(2017) Peng Yao et al.   Nature Communications

Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices

(2017) Tayfun Gokmen et al.   Frontiers in Neuroscience

Memristive stochastic plasticity enables mimicking of neural synchrony: Memristive circuit emulates an optical illusion

(2017) Marina Ignatov et al.   Science Advances

Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity

(2017) G. Pedretti et al.   Scientific Reports

Synchronization of two memristively coupled van der Pol oscillators

(2016) M. Ignatov et al.   APPLIED PHYSICS LETTERS

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

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

Demonstration of Convolution Kernel Operation on Resistive Cross-Point Array

(2016) Ligang Gao et al.   IEEE ELECTRON DEVICE LETTERS

Training a Probabilistic Graphical Model With Resistive Switching Electronic Synapses

(2016) Sukru Burc Eryilmaz et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

(2016) Zhongrui Wang et al.   NATURE MATERIALS

Stochastic phase-change neurons

(2016) Tomas Tuma et al.   Nature Nanotechnology

Exploring the Precision Limitation for RRAM-Based Analog Approximate Computing

(2016) Boxun Li et al.   IEEE Design & Test

Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses

(2016) Stefano Ambrogio et al.   Frontiers in Neuroscience

Emulating the Electrical Activity of the Neuron Using a Silicon Oxide RRAM Cell

(2016) Adnan Mehonic et al.   Frontiers in Neuroscience

Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations

(2016) Tayfun Gokmen et al.   Frontiers in Neuroscience

Sub-10 nm Ta Channel Responsible for Superior Performance of a HfO2 Memristor

(2016) Hao Jiang et al.   Scientific Reports

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

Experimental Demonstration of a Second-Order Memristor and Its Ability to Biorealistically Implement Synaptic Plasticity

(2015) Sungho Kim et al.   NANO LETTERS

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

(2015) M. Prezioso et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Memristor-Based Cellular Nonlinear/Neural Network: Design, Analysis, and Applications

(2015) Shukai Duan et al.   IEEE Transactions on Neural Networks and Learning Systems

A 2-transistor/1-resistor artificial synapse capable of communication and stochastic learning in neuromorphic systems

(2015) Zhongqiang Wang et al.   Frontiers in Neuroscience

A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses

(2015) Ning Qiao et al.   Frontiers in Neuroscience

Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array

(2014) Sukru B. Eryilmaz et al.   Frontiers in Neuroscience

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

(2013) Fabien Alibart et al.   Nature Communications

Stochastic learning in oxide binary synaptic device for neuromorphic computing

(2013) Shimeng Yu et al.   Frontiers in Neuroscience

Nonlinear dendritic processing determines angular tuning of barrel cortex neurons in vivo

(2012) Maria Lavzin et al.   NATURE

A scalable neuristor built with Mott memristors

(2012) Matthew D. Pickett et al.   NATURE MATERIALS

Memristive devices for computing

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

Short-term plasticity and long-term potentiation mimicked in single inorganic synapses

(2011) Takeo Ohno et al.   NATURE MATERIALS

Competitive STDP-Based Spike Pattern Learning

(2009) Timothée Masquelier et al.   NEURAL COMPUTATION