Publications

Publications list

2017

  • B. Lefebvre*, P. Yger* and O. Marre, Recent progress in multi-channel spike sorting methods, J Physiol Paris, S0928-4257(17)30009-8 [view paper]

2016

  • S. Deny, U. Ferrari, E. Mace, P. Yger, R. Caplette, S. Picaud, G. Tkacik and O. Marre, Multiplexed computations in retinal ganglion cells of a single type, BioRxiv [view paper]
  • P. Yger*, G. L. B. Spampinato*, E. Esposito*, B. Lefebvre, S. Deny, C. Gardella, M. Stimberg, F. Jetter, G. Zeck, S. Picaud, J. Duebel and O. Marre, Fast and accurate spike sorting in vitro and in vivo for up to thousands of electrodes, BioRxiv [view paper]

2015

  • P. Yger and M. Gilson, Models of metaplasticity: a review of concepts, Frontiers in Computational Neuroscience 9:138
  • P. Yger, M. Stimberg and R. Brette, Fast learning with weak synaptic changes, Journal of Neuroscience 35:13351-62.
  • G. Bellec, M. Galetier, R. Brette and P. Yger, Slow Feature Analysis with spiking neurons and application to audio stimuli, Journal of Computational Neuroscience 40(3):317-29
  • P. Yger*, D. Colliaux* and K. Kaneko, Dynamical responses of spiking neurons under adaptation, Journal of Computational Neuroscience 39:255-70.

2014

  • C. Le Mouel, K.D Harris and P. Yger Supervised learning with margins in spiking neurons, Journal of Computational Neuroscience 37(2), p. 333-44
  • S. Garcia, D. Guarino , F. Jaillet, R. Pröpper, P. L. Rautenberg, C. Rodgers, A. Sobolev, T. Wachtler, P. Yger, and A. P. Davison. Neo : a universal object model for handling electrophysiology data in multiple formats, Frontiers in NeuroInformatics 8 :10 doi :10.3389/fninf

2013

  • P. Yger and K.D Harris, The Convallis learning rule : unsupervised learning in spiking neuronal networks, PLoS Computational Biology, 9(10) :e1003272

2012

  • M. Okun, P. Yger, S. L. Marguet, F. Gerard-Mercier, a. Benucci, S. Katzner, L. Busse, M. Carandini, K. D. Harris, Population Rate Dynamics and Multineuron Firing Patterns in Sensory Cortex, Journal of Neuroscience 32(48), p. 17108-17119
  • P. Yger*, S. El Boustani*, Y. Frégnac, A. Destexhe, Stable learning in stochastic network states, Journal of Neuroscience 32(1), p. 194-214

2011

  • P. Yger*, S. El Boustani*, A. Destexhe, Y. Frégnac, Topologically invariant macroscopic statistics in balanced networks of conductance-based integrate-and-fire neurons, Journal of Computational Neuroscience 31(2), p. 229-45

2009

  • P. Yger*, O. Marre*, Andrew P Davison, Yves Frégnac, Reliable recall of spontaneous activity patterns in cortical networks, Journal of Neuroscience 29(46), p. 14596-606
  • S. El Boustani, O. Marre, S. Béhuret, P. Baudot, P. Yger, T. Bal, A. Destexhe, Y. Frégnac, Network-state modulation of power-law frequency-scaling in visual cortical neurons, PLoS Computational Biology 5(9), p. e1000519
  • A. Davison, D. Brüderle, J. Eppler, J. Kremkow, E. Muller, D. Pecevski, L. Perrinet and P. Yger, PyNN : a common interface for neuronal network simulators, Frontiers in NeuroInformatics 2 :11 doi :10.3389/neuro 1/2

2008

  • P. Coupe, P. Yger, S. Prima, P. Hellier, C. Kervrann, C Barillot, An optimized blockwise nonlocal means denoising filter for 3-D magnetic resonance images, IEEE transactions on medical imaging 27(4), p. 425-41 2006

2007

  • N. Wiest-Daesslé, P. Yger, S. Prima and C. Barillot, Evaluation of a new optimisation algorithm for rigid registration of MRI data, Medical Imaging 2007 : Image Processing, 651206

2006

  • P. Coupé, P. Yger, C. Barillot, Fast non local means denoising for 3D MR images, Medical image computing and computer-assisted intervention : MICCAI 9(Pt 2), p. 33-40

 

And the PDF of my PhD, entitled ''Chaos control and plasticity in large scale neuronal network with ongoing activity", available here

You can also check My Google Scholar profile 

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