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

A distributed cellular approach of large scale SOM models for hardware implementation. - Laurent Rodriguez; Lyes Khacef; Benoît Miramond (IPAS, 2018)

Neuromorphic hardware as a self-organizing computing system. - Lyes Khacef; Bernard Girau; Nicolas P. Rougier; Andres Upegui; Benoît Miramond (CoRR, 2018)

Live Demostration: Sensor fusion using EMG and vision for hand gesture classification in mobile applications. - Enea Ceolini; Gemma Taverni; Lyes Khacef; Melika Payvand; Elisa Donati (BioCAS, 2019)

Sensor fusion using EMG and vision for hand gesture classification in mobile applications. - Enea Ceolini; Gemma Taverni; Lyes Khacef; Melika Payvand; Elisa Donati (BioCAS, 2019)

Self-organizing neurons: toward brain-inspired unsupervised learning. - Lyes Khacef; Benoît Miramond; Diego Barrientos; Andres Upegui (IJCNN, 2019)

Specialized visual sensor coupled to a dynamic neural field for embedded attentional process. - Marino Rasamuel; Lyes Khacef; Laurent Rodriguez; Benoît Miramond (SAS, 2019)

GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning. - Lyes Khacef; Vincent Gripon; Benoît Miramond (ICONIP (2), 2020)

Improving Self-Organizing Maps with Unsupervised Feature Extraction. - Lyes Khacef; Laurent Rodriguez; Benoît Miramond (ICONIP (2), 2020)

Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning. - Lyes Khacef; Laurent Rodriguez; Benoît Miramond (CoRR, 2020)

Exploration of brain-inspired computing with self-organizing neuromorphic architectures. (Exploration du calcul bio-inspiré avec des architectures neuromorphiques auto-organisées). - Lyes Khacef (2020)

Reentrant Self-Organizing Map: Toward Brain-Inspired Multimodal Association. - Lyes Khacef; Laurent Rodriguez; Benoît Miramond (ERCIM News, 2021)

A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models. - Artem R. Muliukov; Laurent Rodriguez; Benoît Miramond; Lyes Khacef; Joachim Schmidt 004; Quentin Berthet; Andres Upegui (CoRR, 2022)

Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware. - Simon F. Müller-Cleve; Vittorio Fra; Lyes Khacef; Alejandro Pequeño-Zurro; Daniel Klepatsch; Evelina Forno; Diego Gigena Ivanovich; Shavika Rastogi; Gianvito Urgese; Friedemann Zenke; Chiara Bartolozzi (CoRR, 2022)

Impact of spiking neurons leakages and network recurrences on event-based spatio-temporal pattern recognition. - Mohamed Sadek Bouanane; Dalila Cherifi; Elisabetta Chicca; Lyes Khacef (CoRR, 2022)

A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons. - Mattias Nilsson 001; Ton Juny Pina; Lyes Khacef; Foteini Liwicki; Elisabetta Chicca; Fredrik Sandin (IJCNN, 2023)

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. - Jason Yik; Soikat Hasan Ahmed; Zergham Ahmed; Brian Anderson; Andreas G. Andreou; Chiara Bartolozzi; Arindam Basu; Douwe den Blanken; Petrut Bogdan; Sander M. Bohté; Younes Bouhadjar; Sonia M. Buckley; et al. (CoRR, 2023)

Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits. - Lyes Khacef; Philipp Klein; Matteo Cartiglia; Arianna Rubino; Giacomo Indiveri; Elisabetta Chicca (Neuromorph. Comput. Eng., 2023)

Low-power event-based face detection with asynchronous neuromorphic hardware. - Caterina Caccavella; Federico Paredes-Vallés; Marco Cannici; Lyes Khacef (IJCNN, 2024)

TDE-3: An improved prior for optical flow computation in spiking neural networks. - Matthew Yedutenko; Federico Paredes-Vallés; Lyes Khacef; Guido C. H. E. de Croon (CoRR, 2024)

ETLP: event-based three-factor local plasticity for online learning with neuromorphic hardware. - Fernando M. Quintana; Fernando Perez-Peña; Pedro L. Galindo; Emre O. Neftci; Elisabetta Chicca; Lyes Khacef (Neuromorph. Comput. Eng., 2024)

Towards Low-Latency Event-based Obstacle Avoidance on a FPGA-Drone. - Pietro Bonazzi; Christian Vogt 002; Michael Jost 003; Lyes Khacef; Federico Paredes-Vallés; Michele Magno (CVPR Workshops, 2025)

Towards efficient keyword spotting using spike-based time difference encoders. - Alejandro Pequeño-Zurro; Lyes Khacef; Stefano Panzeri; Elisabetta Chicca (CoRR, 2025)

RGB-Event Fusion with Self-Attention for Collision Prediction. - Pietro Bonazzi; Christian Vogt 002; Michael Jost 003; Haotong Qin; Lyes Khacef; Federico Paredes-Vallés; Michele Magno (CoRR, 2025)