Confronting machine-learning with neuroscience for neuromorphic architectures design. - Lyes Khacef; Nassim Abderrahmane; Benoît Miramond (IJCNN, 2018)

Information Coding and Hardware Architecture of Spiking Neural Networks. - Nassim Abderrahmane; Benoît Miramond (DSD, 2019)

Neural coding: adapting spike generation for embedded hardware classification. - Nassim Abderrahmane; Benoît Miramond (IJCNN, 2020)

Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence. - Nassim Abderrahmane; Edgar Lemaire; Benoît Miramond (Neural Networks, 2020)

Hardware design of spiking neural networks for energy efficient brain-inspired computing. (Impact du codage impulsionnel sur l'efficacité énergétique des architectures neuromorphiques). - Nassim Abderrahmane (2020)

SPLEAT: SPiking Low-power Event-based ArchiTecture for in-orbit processing of satellite imagery. - Nassim Abderrahmane; Benoît Miramond; Erwann Kervennic; Adrien Girard (IJCNN, 2022)

Efficiency analysis of artificial vs. Spiking Neural Networks on FPGAs. - Zhuoer Li; Edgar Lemaire; Nassim Abderrahmane; Sébastien Bilavarn; Benoît Miramond (J. Syst. Archit., 2022)

Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems. - Edgar Lemaire; Benoît Miramond; Sébastien Bilavarn; Hadi Saoud; Nassim Abderrahmane (ACM Trans. Embed. Comput. Syst., 2022)

NimbleAI: Towards Neuromorphic Sensing-Processing 3D-integrated Chips. - Xabier Iturbe; Nassim Abderrahmane; Jaume Abella 001; Sergi Alcaide; Eric Beyne; Henri-Pierre Charles; Christelle Charpin-Nicolle; Lars Chittka; Angélica Dávila; Arne Erdmann; Carles Estrada; Ander Fernández; et al. (DATE, 2023)