Pierre Yger - Publications

Affiliations: 
2015- Institut de la Vision, Paris 
Area:
Plasticity, neuronal networks, visual system
Website:
http://www.yger.net

33 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Khabou H, Orendorff E, Trapani F, Rucli M, Desrosiers M, Yger P, Dalkara D, Marre O. Optogenetic targeting of AII amacrine cells restores retinal computations performed by the inner retina. Molecular Therapy. Methods & Clinical Development. 31: 101107. PMID 37868206 DOI: 10.1016/j.omtm.2023.09.003  0.717
2023 Trapani F, Spampinato GLB, Yger P, Marre O. Differences in non-linearities determine retinal cell types. Journal of Neurophysiology. PMID 37584082 DOI: 10.1152/jn.00243.2022  0.747
2022 Garcia S, Bucciono AP, Yger P. How do spike collisions affect spike sorting performance? Eneuro. PMID 36171060 DOI: 10.1523/ENEURO.0105-22.2022  0.351
2020 Gaucher Q, Yger P, Edeline JM. Increasing excitation versus decreasing inhibition in auditory cortex: consequences on the discrimination performance between communication sounds. The Journal of Physiology. PMID 32538485 DOI: 10.1113/Jp279902  0.359
2020 Zbili M, Rama S, Yger P, Inglebert Y, Boumedine-Guignon N, Fronzaroli-Moliniere L, Brette R, Russier M, Debanne D. Axonal Na channels detect and transmit levels of input synchrony in local brain circuits. Science Advances. 6: eaay4313. PMID 32494697 DOI: 10.1126/Sciadv.Aay4313  0.757
2018 Yger P, Spampinato GL, Esposito E, Lefebvre B, Deny S, Gardella C, Stimberg M, Jetter F, Zeck G, Picaud S, Duebel J, Marre O. A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordingsand. Elife. 7. PMID 29557782 DOI: 10.7554/Elife.34518  0.76
2018 Yger P, Spampinato GL, Esposito E, Lefebvre B, Deny S, Gardella C, Stimberg M, Jetter F, Zeck G, Picaud S, Duebel J, Marre O. Author response: A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo Elife. DOI: 10.7554/Elife.34518.015  0.742
2018 Lefebvre B, Stimberg M, Marre O, Yger P. Online template-matching based spike sorting for microelectrode arrays with hundreds of channels Frontiers in Cellular Neuroscience. 12. DOI: 10.3389/conf.fncel.2018.38.00031  0.733
2017 Deny S, Ferrari U, Macé E, Yger P, Caplette R, Picaud S, Tkačik G, Marre O. Multiplexed computations in retinal ganglion cells of a single type. Nature Communications. 8: 1964. PMID 29213097 DOI: 10.1038/S41467-017-02159-Y  0.75
2017 Lefebvre B, Yger P, Marre O. Recent progress in multi-electrode spike sorting methods. Journal of Physiology, Paris. PMID 28263793 DOI: 10.1016/j.jphysparis.2017.02.005  0.757
2017 Newton AJH, Seidenstein AH, McDougal RA, Pérez-Cervera A, Huguet G, M-Seara T, Haimerl C, Angulo-Garcia D, Torcini A, Cossart R, Malvache A, Skiker K, Maouene M, Ragognetti G, Lorusso L, ... ... Yger P, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0372-1  0.728
2016 Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Yger P, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6  0.706
2016 Bellec G, Galtier M, Brette R, Yger P. Slow feature analysis with spiking neurons and its application to audio stimuli. Journal of Computational Neuroscience. PMID 27075919 DOI: 10.1007/S10827-016-0599-3  0.705
2015 Yger P, Gilson M. Models of Metaplasticity: A Review of Concepts. Frontiers in Computational Neuroscience. 9: 138. PMID 26617512 DOI: 10.3389/fncom.2015.00138  0.433
2015 Yger P, Stimberg M, Brette R. Fast Learning with Weak Synaptic Plasticity. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 13351-62. PMID 26424883 DOI: 10.1523/Jneurosci.0607-15.2015  0.688
2015 Colliaux D, Yger P, Kaneko K. Impact of sub and supra-threshold adaptation currents in networks of spiking neurons. Journal of Computational Neuroscience. PMID 26400658 DOI: 10.1007/s10827-015-0575-3  0.348
2015 Yger P, Benichoux V, Stimberg M, Brette R. Emergence of ITD tuning in the MSO with a realistic periphery model Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P20  0.784
2014 Le Mouel C, Harris KD, Yger P. Supervised learning with decision margins in pools of spiking neurons. Journal of Computational Neuroscience. 37: 333-44. PMID 24862859 DOI: 10.1007/s10827-014-0505-9  0.586
2014 Garcia S, Guarino D, Jaillet F, Jennings T, Pröpper R, Rautenberg PL, Rodgers CC, Sobolev A, Wachtler T, Yger P, Davison AP. Neo: an object model for handling electrophysiology data in multiple formats. Frontiers in Neuroinformatics. 8: 10. PMID 24600386 DOI: 10.3389/Fninf.2014.00010  0.479
2014 Goodman DF, Stimberg M, Yger P, Brette R. Brian 2: neural simulations on a variety of computational hardware Bmc Neuroscience. 15: P199. DOI: 10.1186/1471-2202-15-S1-P199  0.782
2014 Yger P, Benichoux V, Stimberg M, Brette R. Hebbian learning in the MSO: emergence of interaural tuning Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P198  0.79
2013 Yger P, Harris KD. The Convallis rule for unsupervised learning in cortical networks. Plos Computational Biology. 9: e1003272. PMID 24204224 DOI: 10.1371/journal.pcbi.1003272  0.603
2013 Yger P, Harris K. The Convallis learning rule for unsupervised learning in spiking neuronal networks Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P426  0.565
2013 Le Mouel C, Yger P, Harris K. Supervised learning in spiking neurons Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P159  0.544
2012 Okun M, Yger P, Marguet SL, Gerard-Mercier F, Benucci A, Katzner S, Busse L, Carandini M, Harris KD. Population rate dynamics and multineuron firing patterns in sensory cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 17108-19. PMID 23197704 DOI: 10.1523/Jneurosci.1831-12.2012  0.785
2012 El Boustani S, Yger P, Frégnac Y, Destexhe A. Stable learning in stochastic network states. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 194-214. PMID 22219282 DOI: 10.1523/Jneurosci.2496-11.2012  0.767
2011 Yger P, El Boustani S, Destexhe A, Frégnac Y. Topologically invariant macroscopic statistics in balanced networks of conductance-based integrate-and-fire neurons. Journal of Computational Neuroscience. 31: 229-45. PMID 21222148 DOI: 10.1007/S10827-010-0310-Z  0.791
2009 Marre O, Yger P, Davison AP, Frégnac Y. Reliable recall of spontaneous activity patterns in cortical networks. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 14596-606. PMID 19923292 DOI: 10.1523/JNEUROSCI.0753-09.2009  0.784
2009 El Boustani S, Marre O, Béhuret S, Baudot P, Yger P, Bal T, Destexhe A, Frégnac Y. Network-state modulation of power-law frequency-scaling in visual cortical neurons. Plos Computational Biology. 5: e1000519. PMID 19779556 DOI: 10.1371/Journal.Pcbi.1000519  0.738
2009 Yger P, El Boustani S, Marre O, Davison AP, Destexhe A, Frégnac Y. Spatial organization of evoked neuronal dynamics in 2D recurrent networks, with or without structured stimulation Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P94  0.78
2008 Davison AP, Brüderle D, Eppler J, Kremkow J, Muller E, Pecevski D, Perrinet L, Yger P. PyNN: A Common Interface for Neuronal Network Simulators. Frontiers in Neuroinformatics. 2: 11. PMID 19194529 DOI: 10.3389/Neuro.11.011.2008  0.701
2007 Davison A, Yger P, Kremkow J, Perrinet L, Muller E. PyNN: towards a universal neural simulator API in Python Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P2  0.682
1970 Davison A, Muller E, Kremkow J, Perrinet L, Yger P, Schmuker M, Brizzi T, Bruederle D, Eppler M, Pecevski D. NeuralEnsemble.Org: Unifying neural simulators in Python to ease the model complexity bottleneck Frontiers in Neuroinformatics. DOI: 10.3389/Conf.Neuro.11.2009.08.104  0.67
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