Sort by
Items per page

Send to

Choose Destination

Search results

Items: 19


A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo.

Yger P, Spampinato GL, Esposito E, Lefebvre B, Deny S, Gardella C, Stimberg M, Jetter F, Zeck G, Picaud S, Duebel J, Marre O.

Elife. 2018 Mar 20;7. pii: e34518. doi: 10.7554/eLife.34518.


Multiplexed computations in retinal ganglion cells of a single type.

Deny S, Ferrari U, Macé E, Yger P, Caplette R, Picaud S, Tkačik G, Marre O.

Nat Commun. 2017 Dec 6;8(1):1964. doi: 10.1038/s41467-017-02159-y.


Recent progress in multi-electrode spike sorting methods.

Lefebvre B, Yger P, Marre O.

J Physiol Paris. 2016 Nov;110(4 Pt A):327-335. doi: 10.1016/j.jphysparis.2017.02.005. Epub 2017 Mar 2. Review.


Slow feature analysis with spiking neurons and its application to audio stimuli.

Bellec G, Galtier M, Brette R, Yger P.

J Comput Neurosci. 2016 Jun;40(3):317-29. doi: 10.1007/s10827-016-0599-3. Epub 2016 Apr 14.


Erratum: Addendum: Models of Metaplasticity: A Review of Concepts.

Yger P, Gilson M.

Front Comput Neurosci. 2016 Jan 28;10:4. doi: 10.3389/fncom.2016.00004. eCollection 2016.


Models of Metaplasticity: A Review of Concepts.

Yger P, Gilson M.

Front Comput Neurosci. 2015 Nov 10;9:138. doi: 10.3389/fncom.2015.00138. eCollection 2015. Review. Erratum in: Front Comput Neurosci. 2016;10:4.


Fast Learning with Weak Synaptic Plasticity.

Yger P, Stimberg M, Brette R.

J Neurosci. 2015 Sep 30;35(39):13351-62. doi: 10.1523/JNEUROSCI.0607-15.2015.


Impact of sub and supra-threshold adaptation currents in networks of spiking neurons.

Colliaux D, Yger P, Kaneko K.

J Comput Neurosci. 2015 Dec;39(3):255-70. doi: 10.1007/s10827-015-0575-3. Epub 2015 Sep 24.


Supervised learning with decision margins in pools of spiking neurons.

Le Mouel C, Harris KD, Yger P.

J Comput Neurosci. 2014 Oct;37(2):333-44. doi: 10.1007/s10827-014-0505-9. Epub 2014 May 28.


Neo: an object model for handling electrophysiology data in multiple formats.

Garcia S, Guarino D, Jaillet F, Jennings T, Pröpper R, Rautenberg PL, Rodgers CC, Sobolev A, Wachtler T, Yger P, Davison AP.

Front Neuroinform. 2014 Feb 20;8:10. doi: 10.3389/fninf.2014.00010. eCollection 2014.


The Convallis rule for unsupervised learning in cortical networks.

Yger P, Harris KD.

PLoS Comput Biol. 2013 Oct;9(10):e1003272. doi: 10.1371/journal.pcbi.1003272. Epub 2013 Oct 24.


Population rate dynamics and multineuron firing patterns in sensory cortex.

Okun M, Yger P, Marguet SL, Gerard-Mercier F, Benucci A, Katzner S, Busse L, Carandini M, Harris KD.

J Neurosci. 2012 Nov 28;32(48):17108-19. doi: 10.1523/JNEUROSCI.1831-12.2012.


Stable learning in stochastic network states.

El Boustani S, Yger P, Frégnac Y, Destexhe A.

J Neurosci. 2012 Jan 4;32(1):194-214. doi: 10.1523/JNEUROSCI.2496-11.2012.


Topologically invariant macroscopic statistics in balanced networks of conductance-based integrate-and-fire neurons.

Yger P, El Boustani S, Destexhe A, Frégnac Y.

J Comput Neurosci. 2011 Oct;31(2):229-45. doi: 10.1007/s10827-010-0310-z. Epub 2011 Jan 11.


Reliable recall of spontaneous activity patterns in cortical networks.

Marre O, Yger P, Davison AP, Frégnac Y.

J Neurosci. 2009 Nov 18;29(46):14596-606. doi: 10.1523/JNEUROSCI.0753-09.2009.


Network-state modulation of power-law frequency-scaling in visual cortical neurons.

El Boustani S, Marre O, Béhuret S, Baudot P, Yger P, Bal T, Destexhe A, Frégnac Y.

PLoS Comput Biol. 2009 Sep;5(9):e1000519. doi: 10.1371/journal.pcbi.1000519. Epub 2009 Sep 25.


PyNN: A Common Interface for Neuronal Network Simulators.

Davison AP, Brüderle D, Eppler J, Kremkow J, Muller E, Pecevski D, Perrinet L, Yger P.

Front Neuroinform. 2009 Jan 27;2:11. doi: 10.3389/neuro.11.011.2008. eCollection 2008.


An optimized blockwise nonlocal means denoising filter for 3-D magnetic resonance images.

Coupe P, Yger P, Prima S, Hellier P, Kervrann C, Barillot C.

IEEE Trans Med Imaging. 2008 Apr;27(4):425-41. doi: 10.1109/TMI.2007.906087.


Fast non local means denoising for 3D MR images.

Coupé P, Yger P, Barillot C.

Med Image Comput Comput Assist Interv. 2006;9(Pt 2):33-40.


Supplemental Content

Support Center