Pathways to efficient neuromorphic computing with non-volatile memory technologies

Fully hardware-implemented memristor convolutional neural network

(2020) Peng Yao et al.   NATURE

Photonic In-Memory Computing Primitive for Spiking Neural Networks Using Phase-Change Materials

(2019) Indranil Chakraborty et al.   Physical Review Applied

ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing

(2019) Gopalakrishnan Srinivasan et al.   Frontiers in Neuroscience

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

(2019) Abhronil Sengupta et al.   Frontiers in Neuroscience

All-optical spiking neurosynaptic networks with self-learning capabilities

(2019) J. Feldmann et al.   NATURE

Accumulative Polarization Reversal in Nanoscale Ferroelectric Transistors

(2018) Halid Mulaosmanovic et al.   ACS Applied Materials & Interfaces

PCMO RRAM for Integrate-and-Fire Neuron in Spiking Neural Networks

(2018) S. Lashkare et al.   IEEE ELECTRON DEVICE LETTERS

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

(2018) Mike Davies et al.   IEEE MICRO

Magnetic Skyrmion as a Spintronic Deep Learning Spiking Neuron Processor

(2018) Mei-Chin Chen et al.   IEEE TRANSACTIONS ON MAGNETICS

Parasitic Effect Analysis in Memristor-Array-Based Neuromorphic Systems

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

Computing in Memory With Spin-Transfer Torque Magnetic RAM

(2018) Shubham Jain et al.   IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS

Equivalent-accuracy accelerated neural-network training using analogue memory

(2018) Stefano Ambrogio et al.   NATURE

Neuromorphic computing with multi-memristive synapses

(2018) Irem Boybat et al.   Nature Communications

Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks

(2018) Yujie Wu et al.   Frontiers in Neuroscience

A Multi-Bit Neuromorphic Weight Cell Using Ferroelectric FETs, suitable for SoC Integration

(2018) Borna Obradovic et al.   IEEE Journal of the Electron Devices Society

Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons

(2018) Indranil Chakraborty et al.   Scientific Reports

Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning

(2018) Chankyu Lee et al.   Frontiers in Neuroscience

Vowel recognition with four coupled spin-torque nano-oscillators

(2018) Miguel Romera et al.   NATURE

On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic Weights

(2018) Amirreza Yousefzadeh et al.   Frontiers in Neuroscience

Arbitrary Spike Time Dependent Plasticity (STDP) in Memristor by Analog Waveform Engineering

(2017) Neeraj Panwar et al.   IEEE ELECTRON DEVICE LETTERS

Proposal for a Leaky-Integrate-Fire Spiking Neuron Based on Magnetoelectric Switching of Ferromagnets

(2017) Akhilesh Jaiswal et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Encoding neural and synaptic functionalities in electron spin: A pathway to efficient neuromorphic computing

(2017) Abhronil Sengupta et al.   Applied Physics Reviews

Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification

(2017) Bodo Rueckauer et al.   Frontiers in Neuroscience

Stochastic Spiking Neural Networks Enabled by Magnetic Tunnel Junctions: From Nontelegraphic to Telegraphic Switching Regimes

(2017) Chamika M. Liyanagedera et al.   Physical Review Applied

On-chip photonic synapse

(2017) Zengguang Cheng 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

Detecting Correlations Using Phase-Change Neurons and Synapses

(2016) Tomas Tuma et al.   IEEE ELECTRON DEVICE LETTERS

Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets

(2016) Abhronil Sengupta et al.   IEEE Transactions on Biomedical Circuits and Systems

A Vision for All-Spin Neural Networks: A Device to System Perspective

(2016) Abhronil Sengupta et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

Scalable Neuron Circuit Using Conductive-Bridge RAM for Pattern Reconstructions

(2016) Jun-Woo Jang et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction

(2016) Abhronil Sengupta et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Stochastic phase-change neurons

(2016) Tomas Tuma et al.   Nature Nanotechnology

Spin-Transfer Torque Memories: Devices, Circuits, and Systems

(2016) Xuanyao Fong et al.   PROCEEDINGS OF THE IEEE

Convolutional networks for fast, energy-efficient neuromorphic computing

(2016) Steven K. Esser et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses

(2016) Alexander Serb et al.   Nature Communications

Leaky Integrate-and-Fire Neuron Circuit Based on Floating-Gate Integrator

(2016) Vladimir Kornijcuk et al.   Frontiers in Neuroscience

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

(2016) Stefano Ambrogio et al.   Frontiers in Neuroscience

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

(2016) Emre O. Neftci et al.   Frontiers in Neuroscience

Training Deep Spiking Neural Networks Using Backpropagation

(2016) Jun Haeng Lee 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

Energy Scaling Advantages of Resistive Memory Crossbar Based Computation and Its Application to Sparse Coding

(2016) Sapan Agarwal et al.   Frontiers in Neuroscience

Short-Term Plasticity and Long-Term Potentiation in Magnetic Tunnel Junctions: Towards Volatile Synapses

(2016) Abhronil Sengupta et al.   Physical Review Applied

Hybrid Spintronic-CMOS Spiking Neural Network with On-Chip Learning: Devices, Circuits, and Systems

(2016) Abhronil Sengupta et al.   Physical Review Applied

Emulating short-term synaptic dynamics with memristive devices

(2016) Radu Berdan et al.   Scientific Reports

Self-Adaptive Spike-Time-Dependent Plasticity of Metal-Oxide Memristors

(2016) M. Prezioso et al.   Scientific Reports

Magnetic Tunnel Junction Based Long-Term Short-Term Stochastic Synapse for a Spiking Neural Network with On-Chip STDP Learning

(2016) Gopalakrishnan Srinivasan et al.   Scientific Reports

Magnetic Tunnel Junction Mimics Stochastic Cortical Spiking Neurons

(2016) Abhronil Sengupta et al.   Scientific Reports

A Reconfigurable Digital Neuromorphic Processor with Memristive Synaptic Crossbar for Cognitive Computing

(2015) Yongtae Kim et al.   ACM Journal on Emerging Technologies in Computing Systems

Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems

(2015) Adrien F. Vincent et al.   IEEE Transactions on Biomedical Circuits and Systems

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

Roadmap for Emerging Materials for Spintronic Device Applications

(2015) Atsufumi Hirohata et al.   IEEE TRANSACTIONS ON MAGNETICS

Deep learning

(2015) Yann LeCun et al.   NATURE

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

(2015) Zhongqiang Wang et al.   Frontiers in Neuroscience

Memristors Empower Spiking Neurons With Stochasticity

(2015) Maruan Al-Shedivat et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Crossbar RRAM Arrays: Selector Device Requirements During Read Operation

(2014) Jiantao Zhou et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

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

(2014) P. A. Merolla et al.   SCIENCE

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

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

R-MRAM: A ROM-Embedded STT MRAM Cache

(2013) Dongsoo Lee et al.   IEEE ELECTRON DEVICE LETTERS

Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses

(2013) Manan Suri et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Superlattice Phase Change Memory Fabrication Process for Back End of Line Devices

(2013) Takasumi Ohyanagi et al.   JAPANESE JOURNAL OF APPLIED PHYSICS

Short-term memory of TiO2-based electrochemical capacitors: empirical analysis with adoption of a sliding threshold

(2013) Hyungkwang Lim et al.   NANOTECHNOLOGY

Synaptic plasticity and memory functions achieved in a WO3−x-based nanoionics device by using the principle of atomic switch operation

(2013) Rui Yang et al.   NANOTECHNOLOGY

Current-driven dynamics of chiral ferromagnetic domain walls

(2013) Satoru Emori et al.   NATURE MATERIALS

Ultrafast Synaptic Events in a Chalcogenide Memristor

(2013) Yi Li et al.   Scientific Reports

Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity

(2013) Bernhard Nessler et al.   PLoS Computational Biology

Stochastic learning in oxide binary synaptic device for neuromorphic computing

(2013) Shimeng Yu et al.   Frontiers in Neuroscience

Visual Pattern Extraction Using Energy-Efficient “2-PCM Synapse” Neuromorphic Architecture

(2012) Olivier Bichler et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Specifications of Nanoscale Devices and Circuits for Neuromorphic Computational Systems

(2012) Bipin Rajendran et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Spin-Based Neuron Model With Domain-Wall Magnets as Synapse

(2012) M. Sharad et al.   IEEE TRANSACTIONS ON NANOTECHNOLOGY

Sensory and short-term memory formations observed in a Ag2S gap-type atomic switch

(2011) Takeo Ohno et al.   APPLIED PHYSICS LETTERS

Floating Gate Synapses With Spike-Time-Dependent Plasticity

(2011) Shubha Ramakrishnan et al.   IEEE Transactions on Biomedical Circuits and Systems

Resistance and Threshold Switching Voltage Drift Behavior in Phase-Change Memory and Their Temperature Dependence at Microsecond Time Scales Studied Using a Micro-Thermal Stage

(2011) SangBum Kim et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applications

(2011) Kuk-Hwan Kim et al.   NANO LETTERS

Nanoelectronic Programmable Synapses Based on Phase Change Materials for Brain-Inspired Computing

(2011) Duygu Kuzum et al.   NANO LETTERS

Analog memory and spike-timing-dependent plasticity characteristics of a nanoscale titanium oxide bilayer resistive switching device

(2011) Kyungah Seo et al.   NANOTECHNOLOGY

Evidences of oxygen-mediated resistive-switching mechanism in TiN\HfO2\Pt cells

(2010) L. Goux et al.   APPLIED PHYSICS LETTERS

A Phenomenological Model for the Reset Mechanism of Metal Oxide RRAM

(2010) Shimeng Yu et al.   IEEE ELECTRON DEVICE LETTERS

Nanoscale Memristor Device as Synapse in Neuromorphic Systems

(2010) Sung Hyun Jo et al.   NANO LETTERS

Forming-free colossal resistive switching effect in rare-earth-oxide Gd2O3 films for memristor applications

(2009) Xun Cao et al.   JOURNAL OF APPLIED PHYSICS

Electrical Manipulation of Nanofilaments in Transition-Metal Oxides for Resistance-Based Memory

(2009) Myoung-Jae Lee et al.   NANO LETTERS

Direct observation of oxygen movement during resistance switching in NiO/Pt film

(2008) Chikako Yoshida et al.   APPLIED PHYSICS LETTERS

Tunnel magnetoresistance of 604% at 300K by suppression of Ta diffusion in CoFeB∕MgO∕CoFeB pseudo-spin-valves annealed at high temperature

(2008) S. Ikeda et al.   APPLIED PHYSICS LETTERS

The missing memristor found

(2008) Dmitri B. Strukov et al.   NATURE

Towards a magnetoelectric memory

(2008) Manuel Bibes et al.   NATURE MATERIALS