| Photonic neuromorphic information processing and reservoir computing A Lugnan, A Katumba, F Laporte, M Freiberger, S Sackesyn, C Ma, ... APL Photonics 5 (2), 2020 | 84 | 2020 |
| Neuromorphic computing based on silicon photonics and reservoir computing A Katumba, M Freiberger, F Laporte, A Lugnan, S Sackesyn, C Ma, ... IEEE Journal of Selected Topics in Quantum Electronics 24 (6), 1-10, 2018 | 53 | 2018 |
| Photonic neural networks based on integrated silicon microresonators S Biasi, G Donati, A Lugnan, M Mancinelli, E Staffoli, L Pavesi Intelligent Computing 3, 0067, 2024 | 13 | 2024 |
| Integrated pillar scatterers for speeding up classification of cell holograms A Lugnan, J Dambre, P Bienstman Optics express 25 (24), 30526-30538, 2017 | 13 | 2017 |
| Machine learning issues and opportunities in ultrafast particle classification for label-free microflow cytometry A Lugnan, E Gooskens, J Vatin, J Dambre, P Bienstman Scientific Reports 10 (1), 20724, 2020 | 10 | 2020 |
| Rigorous dynamic model of a silicon ring resonator with phase change material for a neuromorphic node A Lugnan, S García-Cuevas Carrillo, CD Wright, P Bienstman Optics Express 30 (14), 25177-25194, 2022 | 9 | 2022 |
| System-level simulation for integrated phase-change photonics SGC Carrillo, A Lugnan, E Gemo, P Bienstman, WHP Pernice, ... Journal of Lightwave Technology 39 (20), 6392-6402, 2021 | 9 | 2021 |
| Improving the classification accuracy in label-free flow cytometry using event-based vision and simple logistic regression M Gouda, A Lugnan, J Dambre, G van den Branden, C Posch, ... IEEE Journal of Selected Topics in Quantum Electronics 29 (2: Optical …, 2023 | 8 | 2023 |
| Flow cytometry with event-based vision and spiking neuromorphic hardware S Abreu, M Gouda, A Lugnan, P Bienstman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Emergent self-adaptation in an integrated photonic neural network for backpropagation-free learning A Lugnan, S Aggarwal, F Brückerhoff-Plückelmann, CD Wright, ... arXiv preprint arXiv:2312.03802, 2023 | 3 | 2023 |
| Neuromorphic information processing using silicon photonics P Bienstman, J Dambre, A Katumba, M Freiberger, F Laporte, A Lugnan, ... Active Photonic Platforms XI 11081, 49-55, 2019 | 3 | 2019 |
| Photonic reservoir computing: a brain-inspired approach for information processing P Bienstman, J Dambre, A Katumba, M Freiberger, F Laporte, A Lugnan Optical Fiber Communication Conference, M4F. 4, 2018 | 2 | 2018 |
| Performance enhancement via synaptic plasticity in an integrated photonic recurrent neural network with phase-change materials A Lugnan, S Aggarwal, F Brückerhoff-Plückelmann, WHP Pernice, ... European Quantum Electronics Conference, jsiii_3_5, 2023 | 1 | 2023 |
| Training a spiking neural network on an event-based label-free flow cytometry dataset M Gouda, S Abreu, A Lugnan, P Bienstman arXiv preprint arXiv:2303.10632, 2023 | 1 | 2023 |
| Integrated dielectric scatterers for fast optical classification of biological cells A Lugnan, J Dambre, P Bienstman Neuro-inspired Photonic Computing 10689, 7-13, 2018 | 1 | 2018 |
| Exploring the Potential of Self-Pulsing Optical Microresonators for Spiking Neural Networks and Event Detection S Biasi, A Lugnan, D Micheli, L Pavesi | | 2024 |
| Large-scale neural network in passive silicon photonics for biologically plausible learning A Lugnan, A Foradori, S Biasi, P Bienstman, L Pavesi Machine Learning in Photonics 13017, 127-131, 2024 | | 2024 |
| Silicon ring resonator with phase-change material as a plastic dynamical node for scalable all-optical neural networks with synaptic plasticity A Lugnan, SGC Carrillo, J Song, S Aggarwal, F Brückerhoff-Plückelmann, ... 2023 23rd International Conference on Transparent Optical Networks (ICTON), 1-4, 2023 | | 2023 |
| Optical computing in silicon photonics: self-adapting ring networks and quantum recurrent neural networks P Bienstman, A Lugnan, S Aggarwal, F Bruckerhoff-Pluckelmann, ... International conference on neuromorphic, natural and physical computing, 1-2, 2023 | | 2023 |
| Object classification system and method P Bienstman, A Lugnan, F Laporte US Patent 11,475,683, 2022 | | 2022 |
