Silicon neuron dedicated to memristive spiking neural networks. - Gwendal Lecerf; Jean Tomas; Soren Boyn; Stephanie Girod; Ashwin Mangalore; Julie Grollier; Sylvain Saïghi (ISCAS, 2014)

Spintronic devices as key elements for energy-efficient neuroinspired architectures. - Nicolas Locatelli; Adrien F. Vincent; Alice Mizrahi; Joseph S. Friedman; Damir Vodenicarevic; Joo-Von Kim; Jacques-Olivier Klein; Weisheng Zhao; Julie Grollier; Damien Querlioz (DATE, 2015)

Vortex-based spin transfer oscillator compact model for IC design. - Nicolas Locatelli; Damir Vodenicarevic; Weisheng Zhao; Jacques-Olivier Klein; Julie Grollier; Damien Querlioz (ISCAS, 2015)

Synchronization detection in networks of coupled oscillators for pattern recognition. - Damir Vodenicarevic; Nicolas Locatelli; Julie Grollier; Damien Querlioz (IJCNN, 2016)

Spintronic nano-devices for bio-inspired computing. - Julie Grollier; Damien Querlioz; Mark D. Stiles (CoRR, 2016)

Bio-inspired intelligent sensory processing with nanoscale stochastic magnetic tunnel junctions. - Alice Mizrahi; Julie Grollier; Damien Querlioz (CoRR, 2016)

Spintronic Nanodevices for Bioinspired Computing. - Julie Grollier; Damien Querlioz; Mark D. Stiles (Proc. IEEE, 2016)

Spintronic nanoscillators for unconventional circuits. - Damir Vodenicarevic; Alice Mizrahi; Nicolas Locatelli; Julie Grollier; Damien Querlioz (ECCTD, 2017)

Neuromorphic computing with nanoscale spintronic oscillators. - Jacob Torrejon; Mathieu Riou; Flavio Abreu Araujo; Sumito Tsunegi; Guru Khalsa; Damien Querlioz; Paolo Bortolotti; Vincent Cros; Akio Fukushima; Hitoshi Kubota; Shinji Yuasa; Mark D. Stiles; et al. (CoRR, 2017)

Verilog-A model of ferroelectric memristors dedicated to neuromorphic design. - Charly Meyer; Andre Chanthbouala; Soren Boyn; Jean Tomas; Vincent Garcia; Manuel Bibes; Stephane Fusil; Julie Grollier; Sylvain Saïghi (ICECS, 2018)

Circuit-Level Evaluation of the Generation of Truly Random Bits with Superparamagnetic Tunnel Junctions. - Damir Vodenicarevic; Nicolas Locatelli; Alice Mizrahi; Tifenn Hirtzlin; Joseph S. Friedman; Julie Grollier; Damien Querlioz (ISCAS, 2018)

Overcoming device unreliability with continuous learning in a population coding based computing system. - Alice Mizrahi; Julie Grollier; Damien Querlioz; Mark D. Stiles (CoRR, 2018)

Vowel recognition with four coupled spin-torque nano-oscillators. - Miguel Romera; Philippe Talatchian; Sumito Tsunegi; Flavio Abreu Araujo; Vincent Cros; Paolo Bortolotti; Juan Trastoy; Kay Yakushiji; Akio Fukushima; Hitoshi Kubota; Shinji Yuasa; Maxence Ernoult; et al. (Nat., 2018)

Memory-Centric Neuromorphic Computing With Nanodevices. - Damien Querlioz; Julie Grollier; Tifenn Hirtzlin; Jacques-Olivier Klein; Etienne Nowak; Elisa Vianello; Marc Bocquet; Jean-Michel Portal; Miguel Romera; Philippe Talatchian (BioCAS, 2019)

Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input. - Maxence Ernoult; Julie Grollier; Damien Querlioz; Yoshua Bengio; Benjamin Scellier (NeurIPS, 2019)

Neuromorphic Computing through Time-Multiplexing with a Spin-Torque Nano-Oscillator. - Mathieu Riou; Flavio Abreu Araujo; Jacob Torrejon; Sumito Tsunegi; Guru Khalsa; Damien Querlioz; Paolo Bortolotti; Vincent Cros; Kay Yakushiji; Akio Fukushima; Hitoshi Kubota; Shinji Yuasa; et al. (CoRR, 2019)

Microwave neural processing and broadcasting with spintronic nano-oscillators. - Philippe Talatchian; M. Romera; Sumito Tsunegi; Flavio Abreu Araujo; Vincent Cros; Paolo Bortolotti; Juan Trastoy; Kay Yakushiji; Akio Fukushima; Hitoshi Kubota; Shinji Yuasa; Maxence Ernoult; et al. (CoRR, 2019)

Role of non-linear data processing on speech recognition task in the framework of reservoir computing. - Flavio Abreu Araujo; Mathieu Riou; Jacob Torrejon; Sumito Tsunegi; Damien Querlioz; Kay Yakushiji; Akio Fukushima; Hitoshi Kubota; Shinji Yuasa; Mark D. Stiles; Julie Grollier (CoRR, 2019)

Physics for Neuromorphic Computing. - Danijela Markovic; Alice Mizrahi; Damien Querlioz; Julie Grollier (CoRR, 2020)

Equilibrium Propagation with Continual Weight Updates. - Maxence Ernoult; Julie Grollier; Damien Querlioz; Yoshua Bengio; Benjamin Scellier (CoRR, 2020)

Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation. - Maxence Ernoult; Julie Grollier; Damien Querlioz; Yoshua Bengio; Benjamin Scellier (CoRR, 2020)

Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias. - Axel Laborieux; Maxence Ernoult; Benjamin Scellier; Yoshua Bengio; Julie Grollier; Damien Querlioz (CoRR, 2020)

EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations. - Erwann Martin; Maxence Ernoult; Jérémie Laydevant; Shuai Li; Damien Querlioz; Teodora Petrisor; Julie Grollier (CoRR, 2020)

Training Dynamical Binary Neural Networks With Equilibrium Propagation. - Jérémie Laydevant; Maxence Ernoult; Damien Querlioz; Julie Grollier (CVPR Workshops, 2021)

2021 Roadmap on Neuromorphic Computing and Engineering. - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (CoRR, 2021)

Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations. - Xing Chen; Flavio Abreu Araujo; Mathieu Riou; Jacob Torrejon; Dafine Ravelosona; Wang Kang 001; Weisheng Zhao; Julie Grollier; Damien Querlioz (CoRR, 2021)

Easy-plane spin Hall nano-oscillators as spiking neurons for neuromorphic computing. - Danijela Markovic; Matthew W. Daniels; Pankaj Sethi; Andrew D. Kent; Mark D. Stiles; Julie Grollier (CoRR, 2021)

Hardware realization of the multiply and accumulate operation on radio-frequency signals with magnetic tunnel junctions. - Nathan Leroux; Alice Mizrahi; Danijela Markovic; Dédalo Sanz-Hernández; Juan Trastoy; Paolo Bortolotti; Leandro Martins; Alex Jenkins; Ricardo Ferreira 003; Julie Grollier (Neuromorph. Comput. Eng., 2021)

Reservoir Computing Leveraging the Transient Non-linear Dynamics of Spin-Torque Nano-Oscillators. - Mathieu Riou; Jacob Torrejon; Flavio Abreu Araujo; Sumito Tsunegi; Guru Khalsa; Damien Querlioz; Paolo Bortolotti; Nathan Leroux; Danijela Markovic; Vincent Cros; Kay Yakushiji; Akio Fukushima; et al. (Reservoir Computing, 2021)

Quantum materials for energy-efficient neuromorphic computing. - Axel Hoffmann; Shriram Ramanathan; Julie Grollier; Andrew D. Kent; Marcelo Rozenberg; Ivan K. Schuller; Oleg Shpyrko; Robert Dynes; Yeshaiahu Fainman; Alex Frano; Eric E. Fullerton; Giulia Galli; et al. (CoRR, 2022)

Characterization and modeling of spiking and bursting in experimental NbOx neuron. - Marie Drouhin; Shuai Li; Matthieu Grelier; Sophie Collin; Florian Godel; Robert Glen Elliman; Bruno Dlubak; Juan Trastoy; Damien Querlioz; Julie Grollier (CoRR, 2022)

RF signal classification in hardware with an RF spintronic neural network. - Nathan Leroux; Danijela Markovic; Dédalo Sanz-Hernández; Juan Trastoy; Paolo Bortolotti; Alejandro Schulman; Luana Benetti; Alex Jenkins; Ricardo Ferreira 003; Julie Grollier; Alice Mizrahi (CoRR, 2022)

Multilayer spintronic neural networks with radio-frequency connections. - Andrew Ross; Nathan Leroux; Arnaud De Riz; Danijela Markovic; Dédalo Sanz-Hernández; Juan Trastoy; Paolo Bortolotti; Damien Querlioz; Leandro Martins; Luana Benetti; Marcel S. Claro; Pedro Anacleto; et al. (CoRR, 2022)

2022 roadmap on neuromorphic computing and engineering. - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (Neuromorph. Comput. Eng., 2022)

Convolutional neural networks with radio-frequency spintronic nano-devices. - Nathan Leroux; Arnaud De Riz; Dédalo Sanz-Hernández; Danijela Markovic; Alice Mizrahi; Julie Grollier (Neuromorph. Comput. Eng., 2022)

Characterization and modeling of spiking and bursting in experimental NbO x neuron. - Marie Drouhin; Shuai Li; Matthieu Grelier; Sophie Collin; Florian Godel; Robert Glen Elliman; Bruno Dlubak; Juan Trastoy; Damien Querlioz; Julie Grollier (Neuromorph. Comput. Eng., 2022)

Roadmap for Unconventional Computing with Nanotechnology. - Giovanni Finocchio; Supriyo Bandyopadhyay; Peng Lin; Gang Pan 001; J. Joshua Yang; Riccardo Tomasello; Christos Panagopoulos; Mario Carpentieri; Vito Puliafito; Johan Åkerman; Hiroki Takesue; Amit Ranjan Trivedi; et al. (CoRR, 2023)

Training an Ising Machine with Equilibrium Propagation. - Jérémie Laydevant; Danijela Markovic; Julie Grollier (CoRR, 2023)

Neuromorphic weighted sum with magnetic skyrmions. - Tristan da Câmara Santa Clara Gomes; Yanis Sassi; Dédalo Sanz-Hernández; Sachin Krishnia; Sophie Collin; Marie-Blandine Martin; Pierre Seneor; Vincent Cros; Julie Grollier; Nicolas Reyren (CoRR, 2023)

Designing polar textures with ultrafast neuromorphic features from atomistic simulations. - Sergey Prosandeev; Sergei Prokhorenko; Yousra Nahas; Yali Yang; Changsong Xu; Julie Grollier; Diyar Talbayev; Brahim Dkhil; L. Bellaiche (Neuromorph. Comput. Eng., 2023)

Information Processing Capacity of Spintronic Oscillator. - Sumito Tsunegi; Tomoyuki Kubota; Akira Kamimaki; Julie Grollier; Vincent Cros; Kay Yakushiji; Akio Fukushima; Shinji Yuasa; Hitoshi Kubota; Kohei Nakajima; Tomohiro Taniguchi (Adv. Intell. Syst., 2023)

Unsupervised End-to-End Training with a Self-Defined Bio-Inspired Target. - Dongshu Liu; Jérémie Laydevant; Adrien Pontlevy; Damien Querlioz; Julie Grollier (CoRR, 2024)

Training a multilayer dynamical spintronic network with standard machine learning tools to perform time series classification. - Erwan Plouet; Dédalo Sanz-Hernández; Aymeric Vecchiola; Julie Grollier; Frank Mizrahi (CoRR, 2024)

Self-Contrastive Forward-Forward Algorithm. - Xing Chen; Dongshu Liu; Jérémie Laydevant; Julie Grollier (CoRR, 2024)

Unsupervised end-to-end training with a self-defined target. - Dongshu Liu; Jérémie Laydevant; Adrien Pontlevy; Damien Querlioz; Julie Grollier (Neuromorph. Comput. Eng., 2024)

Convolutions with Radio-Frequency Spin-Diodes. - Erwan Plouet; Hanuman Singh; Pankaj Sethi; Frank Mizrahi; Dédalo Sanz-Hernández; Julie Grollier (CoRR, 2025)

Training and synchronizing oscillator networks with Equilibrium Propagation. - Théophile Rageau; Julie Grollier (CoRR, 2025)

Training of physical neural networks. - Ali Momeni 002; Babak Rahmani; Benjamin Scellier; Logan G. Wright; Peter L. McMahon; Clara C. Wanjura; Yuhang Li; Anas Skalli; Natalia G. Berloff; Tatsuhiro Onodera; Ilker Oguz; Francesco Morichetti; et al. (Nat., 2025)