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Spintronic Nanodevices for Bioinspired Computing

Proceedings of the IEEE, 2016-10, Vol.104 (10), p.2024-2039

2016

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Synaptic metaplasticity in binarized neural networks

Nature communications, 2021-05, Vol.12 (1), p.2549-12, Article 2549

2021

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Neural-like computing with populations of superparamagnetic basis functions

Nature communications, 2018-04, Vol.9 (1), p.1533-11, Article 1533

2018

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Bioinspired Programming of Memory Devices for Implementing an Inference Engine

Proceedings of the IEEE, 2015-08, Vol.103 (8), p.1398-1416

2015

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Using Memristors for Robust Local Learning of Hardware Restricted Boltzmann Machines

Scientific reports, 2019-02, Vol.9 (1), p.1851, Article 1851

2019

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Role of non-linear data processing on speech recognition task in the framework of reservoir computing

Scientific reports, 2020-01, Vol.10 (1), p.328-328, Article 328

2020

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Resonate and fire neuron with fixed magnetic skyrmions

Journal of applied physics, 2018-10, Vol.124 (15)

2018

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Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations

Nature communications, 2022-02, Vol.13 (1), p.1016-12, Article 1016

2022

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In situ learning using intrinsic memristor variability via Markov chain Monte Carlo sampling

Nature electronics, 2021-02, Vol.4 (2), p.151-161

2021

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Binding events through the mutual synchronization of spintronic nano-neurons

Nature communications, 2022-02, Vol.13 (1), p.883-883, Article 883

2022

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Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing Its Gradient Estimator Bias

Frontiers in neuroscience, 2021-02, Vol.15, p.633674-633674

2021

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Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses

IEEE transactions on electron devices, 2013-07, Vol.60 (7), p.2402-2409

2013

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A Nanotechnology-Ready Computing Scheme based on a Weakly Coupled Oscillator Network

Scientific reports, 2017-03, Vol.7 (1), p.44772-44772, Article 44772

2017

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Nano-oscillator-based classification with a machine learning-compatible architecture

Journal of applied physics, 2018-10, Vol.124 (15)

2018

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Physics solves a training problem for artificial neural networks

Nature (London), 2024-08, Vol.632 (8024), p.264-265

Querlioz, Damien

2024

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Physics solves a training problem for analogue AI

Nature (London), 2024-08, Vol.632 (8024), p.264-265

Querlioz, Damien

2024

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Hardware-Efficient Stochastic Binary CNN Architectures for Near-Sensor Computing

Frontiers in neuroscience, 2022-01, Vol.15, p.781786-781786

2022

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Epileptic Seizure Forecasting with Generative Adversarial Networks

IEEE access, 2019-01, Vol.7, p.1-1

2019

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Plasticity in memristive devices for spiking neural networks

Frontiers in neuroscience, 2015-03, Vol.9, p.51-51

2015

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Physical aspects of low power synapses based on phase change memory devices

Journal of applied physics, 2012-09, Vol.112 (5)

2012

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

Frontiers in neuroscience, 2020-01, Vol.13, p.1383-1383

2020

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Overcoming device unreliability with continuous learning in a population coding based computing system

Journal of applied physics, 2018-10, Vol.124 (15)

2018

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Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks

Nature communications, 2023-11, Vol.14 (1), p.7530-7530, Article 7530

2023

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Energy Efficient Learning With Low Resolution Stochastic Domain Wall Synapse for Deep Neural Networks

IEEE access, 2022, Vol.10, p.84946-84959

2022

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Voltage control of domain walls in magnetic nanowires for energy-efficient neuromorphic devices

Nanotechnology, 2020-04, Vol.31 (14), p.145201-145201

2020

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Spintronic Nanodevices for Bioinspired Computing

Synaptic metaplasticity in binarized neural networks

Neural-like computing with populations of superparamagnetic basis functions

Bioinspired Programming of Memory Devices for Implementing an Inference Engine

Using Memristors for Robust Local Learning of Hardware Restricted Boltzmann Machines

Role of non-linear data processing on speech recognition task in the framework of reservoir computing

Resonate and fire neuron with fixed magnetic skyrmions

Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations

In situ learning using intrinsic memristor variability via Markov chain Monte Carlo sampling

Binding events through the mutual synchronization of spintronic nano-neurons

Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing Its Gradient Estimator Bias

Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses

A Nanotechnology-Ready Computing Scheme based on a Weakly Coupled Oscillator Network

Nano-oscillator-based classification with a machine learning-compatible architecture

Physics solves a training problem for artificial neural networks

Physics solves a training problem for analogue AI

Hardware-Efficient Stochastic Binary CNN Architectures for Near-Sensor Computing

Epileptic Seizure Forecasting with Generative Adversarial Networks

Plasticity in memristive devices for spiking neural networks

Physical aspects of low power synapses based on phase change memory devices

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

Overcoming device unreliability with continuous learning in a population coding based computing system

Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks

Energy Efficient Learning With Low Resolution Stochastic Domain Wall Synapse for Deep Neural Networks

Voltage control of domain walls in magnetic nanowires for energy-efficient neuromorphic devices

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