MCAPI-compliant Hardware Buffer Manager mechanism to support communication in multi-core architectures. - Thiago Raupp da Rosa; Thomas Mesquida; Romain Lemaire; Fabien Clermidy (DATE, 2016)

Architecture exploration of a fixed point computation unit using precise timing spiking neurons. - Thomas Mesquida; Alexandre Valentian; David Bol; Edith Beigné (PATMOS, 2017)

Spiking Neural Networks Hardware Implementations and Challenges: A Survey. - Maxence Bouvier; Alexandre Valentian; Thomas Mesquida; François Rummens; Marina Reyboz; Elisa Vianello; Edith Beigné (ACM J. Emerg. Technol. Comput. Syst., 2019)

Fully-Integrated Spiking Neural Network Using SiOx-Based RRAM as Synaptic Device. - Amir Regev; Alessandro Bricalli; Giuseppe Piccolboni; Alexandre Valentian; Thomas Mesquida; Gabriel Molas; Jean-François Nodin (AICAS, 2020)

SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving. - Sambit Mohapatra; Thomas Mesquida; Mona Hodaei; Senthil Kumar Yogamani; Heinrich Gotzig; Patrick Maeder (EBCCSP, 2022)

Investigating Current-Based and Gating Approaches for Accurate and Energy-Efficient Spiking Recurrent Neural Networks. - Manon Dampfhoffer; Thomas Mesquida; Alexandre Valentian; Lorena Anghel (ICANN (3), 2022)

G2N2: Lightweight Event Stream Classification with GRU Graph Neural Networks. - Thomas Mesquida; Manon Dampfhoffer; Thomas Dalgaty; Pascal Vivet; Amos Sironi; Christoph Posch (BMVC, 2023)

HUGNet: Hemi-Spherical Update Graph Neural Network applied to low-latency event-based optical flow. - Thomas Dalgaty; Thomas Mesquida; Damien Joubert; Amos Sironi; Pascal Vivet; Christoph Posch (CVPR Workshops, 2023)

The CNN vs. SNN Event-camera Dichotomy and Perspectives For Event-Graph Neural Networks. - Thomas Dalgaty; Thomas Mesquida; Damien Joubert; Amos Sironi; Cyrille Soubeyrat; Pascal Vivet; Christoph Posch (DATE, 2023)

Leveraging Sparsity with Spiking Recurrent Neural Networks for Energy-Efficient Keyword Spotting. - Manon Dampfhoffer; Thomas Mesquida; Emmanuel Hardy; Alexandre Valentian; Lorena Anghel (ICASSP, 2023)

Improving the Robustness of Neural Networks to Noisy Multi-Level Non-Volatile Memory-based Synapses. - Manon Dampfhoffer; Joel Minguet Lopez; Thomas Mesquida; Alexandre Valentian; Lorena Anghel (IJCNN, 2023)

Scaling-up Memristor Monte Carlo with magnetic domain-wall physics. - Thomas Dalgaty; Shogo Yamada; Anca Molnos; Eiji Kawasaki; Thomas Mesquida; François Rummens; Tatsuo Shibata; Yukihiro Urakawa; Yukio Terasaki; Tomoyuki Sasaki; Marc Duranton (CoRR, 2023)

Are SNNs Really More Energy-Efficient Than ANNs? an In-Depth Hardware-Aware Study. - Manon Dampfhoffer; Thomas Mesquida; Alexandre Valentian; Lorena Anghel (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Neuromorphic Lip-Reading with Signed Spiking Gated Recurrent Units. - Manon Dampfhoffer; Thomas Mesquida (CVPR Workshops, 2024)

Backpropagation-Based Learning Techniques for Deep Spiking Neural Networks: A Survey. - Manon Dampfhoffer; Thomas Mesquida; Alexandre Valentian; Lorena Anghel (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA. - Hiroshi Nakano; Krzysztof Blachut; Kamil Jeziorek; Piotr Wzorek; Manon Dampfhoffer; Thomas Mesquida; Hiroaki Nishi; Tomasz Kryjak; Thomas Dalgaty (ARC, 2025)

Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision. - Manon Dampfhoffer; Thomas Mesquida; Damien Joubert; Thomas Dalgaty; Pascal Vivet; Christoph Posch (CVPR, 2025)

Event-based Audio Prediction with Spectro-Temporal Event-Graphs. - Lars Rafeldt; Thomas Mesquida; Hiroshi Nakano; Manon Dampfhoffer; Filippo Moro; Pascal Vivet; Melika Payvand; Thomas Dalgaty (ISCAS, 2025)