| A variational inequality perspective on generative adversarial networks G Gidel, H Berard, G Vignoud, P Vincent, S Lacoste-Julien arXiv preprint arXiv:1802.10551, 2018 | 477 | 2018 |
| Structured odorant response patterns across a complete olfactory receptor neuron population G Si, JK Kanwal, Y Hu, CJ Tabone, J Baron, M Berck, G Vignoud, ... Neuron 101 (5), 950-962. e7, 2019 | 85 | 2019 |
| Video-based automated assessment of movement parameters consistent with MDS-UPDRS III in Parkinson’s Disease G Vignoud, C Desjardins, Q Salardaine, M Mongin, B Garcin, L Venance, ... Journal of Parkinson's Disease 12 (7), 2211-2222, 2022 | 28 | 2022 |
| Striatum expresses region-specific plasticity consistent with distinct memory abilities S Perez, Y Cui, G Vignoud, E Perrin, A Mendes, Z Zheng, J Touboul, ... Cell Reports 38 (11), 2022 | 24 | 2022 |
| Stochastic models of neural synaptic plasticity P Robert, G Vignoud SIAM Journal on Applied Mathematics 81 (5), 1821-1846, 2021 | 18 | 2021 |
| Concurrent Thalamostriatal and Corticostriatal Spike-Timing-Dependent Plasticity and Heterosynaptic Interactions Shape Striatal Plasticity Map A Mendes, G Vignoud, S Perez, E Perrin, J Touboul, L Venance Cerebral Cortex, 2020 | 18 | 2020 |
| Interplay of multiple pathways and activity-dependent rules in STDP G Vignoud, L Venance, JD Touboul PLoS computational biology 14 (8), e1006184, 2018 | 16 | 2018 |
| Environmental enrichment shapes striatal spike-timing-dependent plasticity in vivo T Morera-Herreras, Y Gioanni, S Perez, G Vignoud, L Venance Scientific reports 9 (1), 19451, 2019 | 14 | 2019 |
| Stochastic Models of Neural Plasticity: A Scaling Approach P Robert, G Vignoud arXiv preprint arXiv:2106.04845, 2021 | 7* | 2021 |
| Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks T Mesnard, G Vignoud, J Sacramento, W Senn, Y Bengio arXiv preprint arXiv:1911.08585, 2019 | 7 | 2019 |
| Video-based automated analysis of MDS-UPDRS III parameters in Parkinson disease G Vignoud, C Desjardins, Q Salardaine, M Mongin, B Garcin, L Venance, ... bioRxiv, 2022.05. 23.493047, 2022 | 6 | 2022 |
| Averaging Principles for Markovian Models of Plasticity P Robert, G Vignoud Journal of Statistical Physics 183 (3), 1-43, 2021 | 6 | 2021 |
| Spontaneous dynamics of synaptic weights in stochastic models with pair-based spike-timing-dependent plasticity G Vignoud, P Robert Physical Review E 105 (5), 054405, 2022 | 3 | 2022 |
| Invariances in a combinatorial olfactory receptor code G Si, JK Kanwal, Y Hu, CJ Tabone, J Baron, M Berck, G Vignoud, ... bioRxiv, 208538, 2017 | 3 | 2017 |
| Anti-Hebbian plasticity drives sequence learning in striatum G Vignoud, L Venance, JD Touboul Communications Biology 7 (1), 555, 2024 | 1 | 2024 |
| On the Spontaneous Dynamics of Synaptic Weights in Stochastic Models with Pair-Based STDP P Robert, G Vignoud arXiv preprint arXiv:2111.07919, 2021 | 1 | 2021 |
| A Palm space approach to non-linear Hawkes processes P Robert, G Vignoud Electronic Journal of Probability 29, 1-37, 2024 | | 2024 |
| Synaptic plasticity in stochastic neuronal networks G Vignoud Sorbonne Université, 2022 | | 2022 |
| Analyse du syndrome parkinsonien par une approche informatique de deep learning C Desjardins, Q Salardaine, B Degos, G Vignoud Revue Neurologique 177, S30-S31, 2021 | | 2021 |
| Movement Disorders Analysis Using a Deep Learning Approach C Desjardins, Q Salardaine, G Vignoud, B Degos Movement Disorders 35, 2020 | | 2020 |
Laurent VenanceCenter for Interdisciplinary Research in Biology, Collège de France, PSL University, ParisVerified email at college-de-france.fr
