Stéphane Deny
Affiliations: | 2021- | Neuroscience and Biomedical Engineering, Computer Science | Aalto University, Espoo, Finland |
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Neuroscience & AIGoogle:
"Stéphane Deny"Parents
Sign in to add mentor| Olivier Marre | grad student | 2012-2016 | UPMC & Institut de la Vision (Neurotree) |
| Serge Picaud | grad student | 2012-2016 | UPMC & Institut de la Vision (Neurotree) |
| Yann LeCun | post-doc | 2019- | Facebook AI Research |
| Surya Ganguli | post-doc | 2017-2019 | Stanford (Physics Tree) |
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Publications
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| Mann K, Deny S, Ganguli S, et al. (2021) Coupling of activity, metabolism and behaviour across the Drosophila brain. Nature. 593: 244-248 |
| Sorochynskyi O, Deny S, Marre O, et al. (2021) Predicting synchronous firing of large neural populations from sequential recordings. Plos Computational Biology. 17: e1008501 |
| Ferrari U, Deny S, Sengupta A, et al. (2020) Towards optogenetic vision restoration with high resolution. Plos Computational Biology. 16: e1007857 |
| Ferrari U, Deny S, Marre O, et al. (2018) A Simple Model for Low Variability in Neural Spike Trains. Neural Computation. 1-28 |
| Botella-Soler V, Deny S, Martius G, et al. (2018) Nonlinear decoding of a complex movie from the mammalian retina. Plos Computational Biology. 14: e1006057 |
| Yger P, Spampinato GL, Esposito E, et al. (2018) A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordingsand. Elife. 7 |
| Yger P, Spampinato GL, Esposito E, et al. (2018) Author response: A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo Elife |
| Ferrari U, Deny S, Chalk M, et al. (2018) Separating intrinsic interactions from extrinsic correlations in a network of sensory neurons Physical Review E. 98 |
| Deny S, Ferrari U, Macé E, et al. (2017) Multiplexed computations in retinal ganglion cells of a single type. Nature Communications. 8: 1964 |
| Mora T, Deny S, Marre O. (2015) Dynamical criticality in the collective activity of a population of retinal neurons. Physical Review Letters. 114: 078105 |