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Items: 30

1.

Suppressive traveling waves shape representations of illusory motion in primary visual cortex of awake primate.

Chemla S, Reynaud A, di Volo M, Zerlaut Y, Perrinet L, Destexhe A, Chavane F.

J Neurosci. 2019 Mar 18. pii: 2792-18. doi: 10.1523/JNEUROSCI.2792-18.2019. [Epub ahead of print]

PMID:
30886010
2.

Speed-Selectivity in Retinal Ganglion Cells is Sharpened by Broad Spatial Frequency, Naturalistic Stimuli.

Ravello CR, Perrinet LU, Escobar MJ, Palacios AG.

Sci Rep. 2019 Jan 24;9(1):456. doi: 10.1038/s41598-018-36861-8.

3.

Reinforcement effects in anticipatory smooth eye movements.

Damasse JB, Perrinet LU, Madelain L, Montagnini A.

J Vis. 2018 Oct 1;18(11):14. doi: 10.1167/18.11.14.

PMID:
30347101
4.

Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures.

Vacher J, Meso AI, Perrinet LU, Peyré G.

Neural Comput. 2018 Oct 12:1-38. doi: 10.1162/neco_a_01142. [Epub ahead of print]

PMID:
30314424
5.

The Flash-Lag Effect as a Motion-Based Predictive Shift.

Khoei MA, Masson GS, Perrinet LU.

PLoS Comput Biol. 2017 Jan 26;13(1):e1005068. doi: 10.1371/journal.pcbi.1005068. eCollection 2017 Jan.

6.

Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1.

Kremkow J, Perrinet LU, Monier C, Alonso JM, Aertsen A, Frégnac Y, Masson GS.

Front Neural Circuits. 2016 May 11;10:37. doi: 10.3389/fncir.2016.00037. eCollection 2016.

7.

Testing the odds of inherent vs. observed overdispersion in neural spike counts.

Taouali W, Benvenuti G, Wallisch P, Chavane F, Perrinet LU.

J Neurophysiol. 2016 Jan 1;115(1):434-44. doi: 10.1152/jn.00194.2015. Epub 2015 Oct 7.

8.

Edge co-occurrences can account for rapid categorization of natural versus animal images.

Perrinet LU, Bednar JA.

Sci Rep. 2015 Jun 22;5:11400. doi: 10.1038/srep11400.

9.

Active inference, eye movements and oculomotor delays.

Perrinet LU, Adams RA, Friston KJ.

Biol Cybern. 2014 Dec;108(6):777-801. doi: 10.1007/s00422-014-0620-8. Epub 2014 Aug 16.

10.

Anisotropic connectivity implements motion-based prediction in a spiking neural network.

Kaplan BA, Lansner A, Masson GS, Perrinet LU.

Front Comput Neurosci. 2013 Sep 17;7:112. doi: 10.3389/fncom.2013.00112. eCollection 2013.

11.

Motion-based prediction explains the role of tracking in motion extrapolation.

Khoei MA, Masson GS, Perrinet LU.

J Physiol Paris. 2013 Nov;107(5):409-20. doi: 10.1016/j.jphysparis.2013.08.001. Epub 2013 Sep 11. Review.

PMID:
24036184
12.

Smooth pursuit and visual occlusion: active inference and oculomotor control in schizophrenia.

Adams RA, Perrinet LU, Friston K.

PLoS One. 2012;7(10):e47502. doi: 10.1371/journal.pone.0047502. Epub 2012 Oct 26.

13.

More is not always better: adaptive gain control explains dissociation between perception and action.

Simoncini C, Perrinet LU, Montagnini A, Mamassian P, Masson GS.

Nat Neurosci. 2012 Nov;15(11):1596-603. doi: 10.1038/nn.3229. Epub 2012 Sep 30.

PMID:
23023292
14.

Complex dynamics in recurrent cortical networks based on spatially realistic connectivities.

Voges N, Perrinet L.

Front Comput Neurosci. 2012 Jul 10;6:41. doi: 10.3389/fncom.2012.00041. eCollection 2012.

15.

Motion-based prediction is sufficient to solve the aperture problem.

Perrinet LU, Masson GS.

Neural Comput. 2012 Oct;24(10):2726-50. doi: 10.1162/NECO_a_00332. Epub 2012 Jun 26.

16.

Perceptions as hypotheses: saccades as experiments.

Friston K, Adams RA, Perrinet L, Breakspear M.

Front Psychol. 2012 May 28;3:151. doi: 10.3389/fpsyg.2012.00151. eCollection 2012.

17.

Motion clouds: model-based stimulus synthesis of natural-like random textures for the study of motion perception.

Leon PS, Vanzetta I, Masson GS, Perrinet LU.

J Neurophysiol. 2012 Jun;107(11):3217-26. doi: 10.1152/jn.00737.2011. Epub 2012 Mar 14.

18.

The behavioral receptive field underlying motion integration for primate tracking eye movements.

Masson GS, Perrinet LU.

Neurosci Biobehav Rev. 2012 Jan;36(1):1-25. doi: 10.1016/j.neubiorev.2011.03.009. Epub 2011 Mar 21. Review.

PMID:
21421006
19.

Saccadic foveation of a moving visual target in the rhesus monkey.

Fleuriet J, Hugues S, Perrinet L, Goffart L.

J Neurophysiol. 2011 Feb;105(2):883-95. doi: 10.1152/jn.00622.2010. Epub 2010 Dec 15.

20.

Pursuing motion illusions: a realistic oculomotor framework for Bayesian inference.

Bogadhi AR, Montagnini A, Mamassian P, Perrinet LU, Masson GS.

Vision Res. 2011 Apr 22;51(8):867-80. doi: 10.1016/j.visres.2010.10.021. Epub 2010 Oct 23.

21.

Functional consequences of correlated excitatory and inhibitory conductances in cortical networks.

Kremkow J, Perrinet LU, Masson GS, Aertsen A.

J Comput Neurosci. 2010 Jun;28(3):579-94. doi: 10.1007/s10827-010-0240-9. Epub 2010 May 19.

PMID:
20490645
22.

Role of homeostasis in learning sparse representations.

Perrinet LU.

Neural Comput. 2010 Jul;22(7):1812-36. doi: 10.1162/neco.2010.05-08-795.

23.

Phase space analysis of networks based on biologically realistic parameters.

Voges N, Perrinet L.

J Physiol Paris. 2010 Jan-Mar;104(1-2):51-60. doi: 10.1016/j.jphysparis.2009.11.004. Epub 2009 Nov 10.

PMID:
19909813
24.

Computational neuroscience, from multiple levels to multi-level.

Daucé E, Perrinet L.

J Physiol Paris. 2010 Jan-Mar;104(1-2):1-4. doi: 10.1016/j.jphysparis.2009.11.001. Epub 2009 Nov 10.

PMID:
19909810
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.

26.

Dynamics of distributed 1D and 2D motion representations for short-latency ocular following.

Barthélemy FV, Perrinet LU, Castet E, Masson GS.

Vision Res. 2008 Feb;48(4):501-22. doi: 10.1016/j.visres.2007.10.020. Epub 2008 Jan 25.

27.

Modeling spatial integration in the ocular following response using a probabilistic framework.

Perrinet LU, Masson GS.

J Physiol Paris. 2007 Jan-May;101(1-3):46-55. Epub 2007 Oct 26. Review.

PMID:
18042358
28.

Bayesian modeling of dynamic motion integration.

Montagnini A, Mamassian P, Perrinet L, Castet E, Masson GS.

J Physiol Paris. 2007 Jan-May;101(1-3):64-77. Epub 2007 Oct 26. Review.

PMID:
18036790
29.

Feature detection using spikes: the greedy approach.

Perrinet L.

J Physiol Paris. 2004 Jul-Nov;98(4-6):530-9. Epub 2005 Nov 28.

PMID:
16310348
30.

Coding static natural images using spiking event times: do neurons cooperate?

Perrinet L, Samuelides M, Thorpe S.

IEEE Trans Neural Netw. 2004 Sep;15(5):1164-75.

PMID:
15484892

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