Toward a realistic model of speech processing in the brain with self-supervised learning J Millet, C Caucheteux, P Orhan, Y Boubenec, A Gramfort, E Dunbar, ... Advances in Neural Information Processing Systems, 2022 | 74 | 2022 |
Local origin of excitatory–inhibitory tuning equivalence in a cortical network AJ Duszkiewicz, P Orhan, S Skromne Carrasco, EH Brown, E Owczarek, ... Nature Neuroscience 27 (4), 782-792, 2024 | 4 | 2024 |
Reciprocal representation of encoded features by cortical excitatory and inhibitory neuronal populations. AJ Duszkiewicz, SS Carrasco, P Orhan, E Brown, E Owczarek, GR Vite, ... bioRxiv, 2022 | 2 | 2022 |
Algebraic structures emerge from the self-supervised learning of natural sounds. P Orhan, Y Boubenec, JR King bioRxiv, 2024 | 1 | 2024 |
Don't stop the training: continuously-updating self-supervised algorithms best account for auditory responses in the cortex P Orhan, Y Boubenec, JR King arXiv preprint arXiv:2202.07290, 2022 | 1 | 2022 |
Signature of random connectivity in the distribution of neuronal tuning curves. P Orhan, AJ Duszkiewicz, A Peyrache bioRxiv, 2022 | | 2022 |
Emergence of Symmetries from Random Connectivity in the Head-Direction Thalamocortical Circuit P Orhan McGill University (Canada), 2020 | | 2020 |
Advances in machine learning using geometry provide new tools for computational neuroscientist P Orhan | | |