Pierre Yger
Affiliations: | 2015- | Institut de la Vision, Paris |
Area:
Plasticity, neuronal networks, visual systemWebsite:
http://www.yger.netGoogle:
"Pierre Yger"Mean distance: 13.06 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Yves Fregnac | grad student | 2006-2010 | UNIC |
| Kenneth D. Harris | post-doc | 2011-2013 | Imperial College |
| Karel Svoboda | post-doc | 2012-2013 | HHMI Janelia Farm Campus |
| Romain Brette | post-doc | 2013-2015 | ENS Paris |
Collaborators
Sign in to add collaborator| Andrew Davison | collaborator | UNIC | |
| Sami El Boustani | collaborator | UNIC | |
| Olivier Marre | collaborator | UNIC | |
| Laurent Perrinet | collaborator | 2004- | CNRS |
| Romain Brette | collaborator | 2013- | ENS Paris |
BETA: Related publications
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Publications
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| 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 |
| Deny S, Ferrari U, Macé E, et al. (2017) Multiplexed computations in retinal ganglion cells of a single type. Nature Communications. 8: 1964 |
| Lefebvre B, Yger P, Marre O. (2017) Recent progress in multi-electrode spike sorting methods. Journal of Physiology, Paris |
| Bellec G, Galtier M, Brette R, et al. (2016) Slow feature analysis with spiking neurons and its application to audio stimuli. Journal of Computational Neuroscience |
| Yger P, Gilson M. (2016) Erratum: Addendum: Models of Metaplasticity: A Review of Concepts. Frontiers in Computational Neuroscience. 10: 4 |
| Yger P, Gilson M. (2015) Models of Metaplasticity: A Review of Concepts. Frontiers in Computational Neuroscience. 9: 138 |
| Yger P, Stimberg M, Brette R. (2015) Fast Learning with Weak Synaptic Plasticity. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 13351-62 |
| Colliaux D, Yger P, Kaneko K. (2015) Impact of sub and supra-threshold adaptation currents in networks of spiking neurons. Journal of Computational Neuroscience |
| Le Mouel C, Harris KD, Yger P. (2014) Supervised learning with decision margins in pools of spiking neurons. Journal of Computational Neuroscience. 37: 333-44 |
| Garcia S, Guarino D, Jaillet F, et al. (2014) Neo: an object model for handling electrophysiology data in multiple formats. Frontiers in Neuroinformatics. 8: 10 |