976 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université de SherbrookeCA30 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Institut d'électronique de microélectronique et de nanotechnologieFR7 papers
- Université de LilleFR6 papers
- Centre de Nanosciences et de NanotechnologiesFR4 papers
- Institut quantiqueCA3 papers
- Laboratoire Nanotechnologies et NanosystèmesCA3 papers
- National Research Council CanadaCA3 papers
- Université Paris-SaclayFR3 papers
- University of WaterlooCA3 papers
- Lyon 1 UniversitéFR2 papers
- Perimeter InstituteCA2 papers
32 papers
Learning to See via Epiretinal Implant Stimulation in silico with Model-Based Deep Reinforcement Learning
Jacob Lavoie, Marwan Besrour, William Lemaire +3
Objective: Diseases such as age-related macular degeneration and retinitis pigmentosa cause the degradation of the photoreceptor layer. One approach to restore vision is to electri…
Controlling Carbon Nanostructure Synthesis in Thermal Plasma Jet: Correlation of Process Parameters, Plasma Characteristics, and Product Morphology
Taki Aissou, Jerome Menneveux, Fanny Casteignau +2
Thermal plasma has emerged as an effective approach for producing carbon nanostructures without the need for specific catalysts nor substrates. While efforts have focused on the ef…
All-in-One Analog AI Hardware: On-Chip Training and Inference with Conductive-Metal-Oxide/HfOx ReRAM Devices
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi +9
Analog in-memory computing is an emerging paradigm designed to efficiently accelerate deep neural network workloads. Recent advancements have focused on either inference or trainin…
Towards a Cryogenic CMOS-Memristor Neural Decoder for Quantum Error Correction
Pierre-Antoine Mouny, Maher Benhouria, Victor Yon +6
This paper presents a novel approach utilizing a scalable neural decoder application-specific integrated circuit (ASIC) based on metal oxide memristors in a 180nm CMOS technology.…
Giant anisotropic magnetoresistance in few-layer α-RuCl3 tunnel junctions
Mathieu Massicotte, Sam Dehlavi, Xiaoyu Liu +12
The spin-orbit assisted Mott insulator -RuCl3 is proximate to the coveted quantum spin liquid (QSL) predicted by the Kitaev model. In the search for the pure Kitaev QSL, reducin…
Online Global Loop Closure Detection for Large-Scale Multi-Session Graph-Based SLAM
Mathieu Labbe, François Michaud
For large-scale and long-term simultaneous localization and mapping (SLAM), a robot has to deal with unknown initial positioning caused by either the kidnapped robot problem or mul…
Laser driven miniature diamond implant for wireless retinal prostheses
Arman Ahnood, Ross Cheriton, Anne Bruneau +8
The design and benchtop operation of a wireless miniature epiretinal stimulator implant is reported. The implant is optically powered and controlled using safe illumination at near…
Robust quantum dots charge autotuning using neural network uncertainty
Victor Yon, Bastien Galaup, Claude Rohrbacher +10
This study presents a machine-learning-based procedure to automate the charge tuning of semiconductor spin qubits with minimal human intervention, addressing one of the significant…
RTAB-Map as an Open-Source Lidar and Visual SLAM Library for Large-Scale and Long-Term Online Operation
Mathieu Labbé, François Michaud
Distributed as an open source library since 2013, RTAB-Map started as an appearance-based loop closure detection approach with memory management to deal with large-scale and long-t…
VO under hydrostatic pressure: Isostructural phase transition close to a critical end-point
P. Bouvier, L. Bussmann, D. Machon +4
The high-pressure behavior of monoclinic VO is revisited by a combination of Raman spectroscopy and X-ray diffraction on a single crystal under hydrostatic conditions at room t…
Long-Term Online Multi-Session Graph-Based SPLAM with Memory Management
Mathieu Labbé, François Michaud
For long-term simultaneous planning, localization and mapping (SPLAM), a robot should be able to continuously update its map according to the dynamic changes of the environment and…
A Lightweight Force-Controllable Wearable Arm Based on Magnetorheological-Hydrostatic Actuators
Catherine Véronneau, Jeff Denis, Louis-Philippe Lebel +3
Supernumerary Robotic Limbs (SRLs) are wearable robots augmenting human capabilities by acting as a co-worker, reaching objects, support human arms, etc. However, existing SRLs lac…
Defect free strain relaxation of microcrystals on mesoporous patterned silicon
Alexandre Heintz, Bouraoui Ilahi, Alexandre Pofelski +7
A perfectly compliant substrate would allow the monolithic integration of high-quality semiconductor materials such as Ge and III-V on Silicon (Si) substrate, enabling novel functi…
Memristor-based cryogenic programmable DC sources for scalable in-situ quantum-dot control
Pierre-Antoine Mouny, Yann Beilliard, Sébastien Graveline +8
Current quantum systems based on spin qubits are controlled by classical electronics located outside the cryostat at room temperature. This approach creates a major wiring bottlene…
Voltage-Dependent Synaptic Plasticity (VDSP): Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential
Nikhil Garg, Ismael Balafrej, Terrence C. Stewart +7
This study proposes voltage-dependent-synaptic plasticity (VDSP), a novel brain-inspired unsupervised local learning rule for the online implementation of Hebb's plasticity mechani…
Multi-terminal memristive devices enabling tunable synaptic plasticity in neuromorphic hardware: a mini-review
Yann Beilliard, Fabien Alibart
Neuromorphic computing based on spiking neural networks has the potential to significantly improve on-line learning capabilities and energy efficiency of artificial intelligence, s…
Neural Network Based Lidar Gesture Recognition for Realtime Robot Teleoperation
Simon Chamorro, Jack Collier, François Grondin
We propose a novel low-complexity lidar gesture recognition system for mobile robot control robust to gesture variation. Our system uses a modular approach, consisting of a pose es…
Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition
Nikhil Garg, Ismael Balafrej, Yann Beilliard +3
Surface electromyogram (sEMG) signals result from muscle movement and hence they are an ideal candidate for benchmarking event-driven sensing and computing. We propose a simple yet…
Multi-Session Visual SLAM for Illumination Invariant Re-Localization in Indoor Environments
Mathieu Labbé, François Michaud
For robots navigating using only a camera, illumination changes in indoor environments can cause re-localization failures during autonomous navigation. In this paper, we present a…
Toward Cosmicflows-4: The \hi data catalog
A. Dupuy, H. M. Courtois, D. Guinet +2
In this study, we present an update of a compilation of line width measurements of neutral atomic hydrogen (HI) galaxy spectra at 21 cm wavelength. Our All Digital HI (ADHI) catalo…
Dynamic formation of spherical voids crossing linear defects
Youcef A. Bioud, Maxime Rondeau, Abderraouf Boucherif +3
A predictive model for the evolution of porous Ge layer upon thermal treatment is reported. We represent an idealized etched dislocation core as an axially symmetric elongated hole…
Miniaturizing neural networks for charge state autotuning in quantum dots
Stefanie Czischek, Victor Yon, Marc-Antoine Genest +8
A key challenge in scaling quantum computers is the calibration and control of multiple qubits. In solid-state quantum dots, the gate voltages required to stabilize quantized charg…
Feasibility Assessment of an Optically Powered Digital Retinal Prosthesis Architecture for Retinal Ganglion Cell Stimulation
William Lemaire, Maher Benhouria, Konin Koua +12
Clinical trials previously demonstrated the notable capacity to elicit visual percepts in blind patients affected with retinal diseases by electrically stimulating the remaining ne…
P-CRITICAL: A Reservoir Autoregulation Plasticity Rule for Neuromorphic Hardware
Ismael Balafrej, Jean Rouat
Backpropagation algorithms on recurrent artificial neural networks require an unfolding of accumulated states over time. These states must be kept in memory for an undefined period…