Reservoir-Size Dependent Learning in Analogue Neural Networks. - Xavier Porte; Louis Andreoli; Maxime Jacquot; Laurent Larger; Daniel Brunner (ICANN (Workshop), 2019)

Coupled nonlinear delay systems as deep convolutional neural networks. - Bogdan Penkovsky; Xavier Porte; Maxime Jacquot; Laurent Larger; Daniel Brunner (CoRR, 2019)

Fundamental aspects of noise in analog-hardware neural networks. - Nadezhda Semenova; Xavier Porte; Louis Andreoli; Maxime Jacquot; Laurent Larger; Daniel Brunner (CoRR, 2019)

Three dimensional waveguide-interconnects for scalable integration of photonic neural networks. - Johnny Moughames; Xavier Porte; Michael Thiel; Gwenn Ulliac; Maxime Jacquot; Laurent Larger; Muamer Kadic; Daniel Brunner (CoRR, 2019)

Boolean learning under noise-perturbations in hardware neural networks. - Louis Andreoli; Xavier Porte; Stéphane Chrétien; Maxime Jacquot; Laurent Larger; Daniel Brunner (CoRR, 2020)

A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser. - Xavier Porte; Anas Skalli; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner (CoRR, 2020)

Photonic neuromorphic computing using vertical cavity semiconductor lasers. - Anas Skalli; Joshua Robertson; Dafydd Owen-Newns; Matej Hejda; Xavier Porte; Stephan Reitzenstein; Antonio Hurtado; Daniel Brunner (CoRR, 2021)

Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing. - Anas Skalli; Xavier Porte; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner (CoRR, 2021)

A semiconductor laser stand-alone neural network. - Anas Skalli; Xavier Porte; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner (OECC/PSC, 2022)

Convergence and scaling of Boolean-weight optimization for hardware reservoirs. - Louis Andreoli; Stéphane Chrétien; Xavier Porte; Daniel Brunner (CoRR, 2023)

A spiking photonic neural network of 40.000 neurons, trained with rank-order coding for leveraging sparsity. - Ria Talukder; Anas Skalli; Xavier Porte; Simon Thorpe; Daniel Brunner (CoRR, 2024)

A spiking photonic neural network of 40 000 neurons, trained with latency and rank-order coding for leveraging sparsity. - Ria Talukder; Anas Skalli; Xavier Porte; Simon Thorpe; Daniel Brunner (Neuromorph. Comput. Eng., 2025)

Roadmap on Neuromorphic Photonics. - Daniel Brunner; Bhavin J. Shastri; Mohammed Al-Qadasi; Hitesh Ballani; Sylvain Barbay; Stefano Biasi; Peter Bienstman; Simon Bilodeau; Wim Bogaerts; Fabian Böhm; Grace Brennan; Sonia M. Buckley; et al. (CoRR, 2025)