MASSON Guillaume

Name : MASSON
Surname : Guillaume
Phone : 04 91 32 40 42
Fonction : Chef d'équipe
Grade : DR1
Office : 2.02

Publications


  • Barthélemy F.V., Fleuriet J., and Masson G.S. (2010). Temporal dynamics of 2D motion integration for ocular following in macaque monkeys. Journal of Neurophysiology, 103: 1275-1282.


  • Deneux T., Takerkart S., Grinvald A., Masson G.S., and Vanzetta I. (2012). A processing work-flow for measuring erythrocytes velocity in extended vascular networks from wide field high-resolution optical imaging data. NeuroImage, 59: 2569-2588.


  • Ego C., Bonhomme L., Orban de Xivry J.-J., Da Fonseca D., Lefèvre P., Masson G.S., and Deruelle C. (2016). Behavioral characterization of prediction and internal models in adolescents with autistic spectrum disorders. Neuropsychologia, 91: 335-345.

  • Fregnac Y., Baudot P., Chavane F., Lorenceau J., Marre O., Monier C., Pananceau M., Carelli P.V., and Sadoc G. (2009). Multiscale Functional Imaging in V1 and Cortical Correlates of Apparent Motion. Dynamics of Visual Motion Processing, 73-93.


  • Gekas N., Meso A.I., Masson G.S., and Mamassian P. (2017). A Normalization Mechanism for Estimating Visual Motion across Speeds and Scales. Current Biology, 27: 1514-1520.e3.


  • Hoffart L., Matonti F., Conrath J., Daniel L., Ridings B., Masson G.S., and Chavane F. (2010). Inhibition of corneal neovascularization after alkali burn: comparison of different doses of bevacizumab in monotherapy or associated with dexamethasone. Clinical & Experimental Ophthalmology, 38: 346-352.


  • Kaplan B.A., Lansner A., Masson G.S., and Perrinet L.U. (2013). Anisotropic connectivity implements motion-based prediction in a spiking neural network. Frontiers in Computational Neuroscience, 7.


  • Khoei M.A., Masson G.S., and Perrinet L.U. (2013). Motion-based prediction explains the role of tracking in motion extrapolation. Journal of Physiology-Paris, 107: 409-420.


  • Khoei M.A., Masson G.S., and Perrinet L.U. (2017). The Flash-Lag Effect as a Motion-Based Predictive Shift. PLOS Computational Biology, 13: e1005068.

  • Kremkow J., Perrinet L.U., Masson G.S., and Aertsen A. (2010). Functional consequences of correlated excitatory and inhibitory conductances in cortical networks. Journal of Computational Neuroscience, 28: 579-594.


  • Kremkow J., Perrinet L.U., Monier C., Alonso J.-M., Aertsen A., Frégnac Y., and Masson G.S. (2016). Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1. Frontiers in Neural Circuits, 10.

  • Leon P.S., Vanzetta I., Masson G.S., and Perrinet L.U. (2012). Motion clouds: model-based stimulus synthesis of natural-like random textures for the study of motion perception. Journal of Neurophysiology, 107: 3217-3226.


  • Masson G.S. and Goffart L. (2013). Fixate and stabilize: shall the twain meet? Nature Neuroscience, 16: 663-664.


  • Masson G.S. and Perrinet L.U. (2012). The behavioral receptive field underlying motion integration for primate tracking eye movements. Neuroscience & Biobehavioral Reviews, 36: 1-25.


  • Medathati N.V.K., Neumann H., Masson G.S., and Kornprobst P. (2016). Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision. Computer Vision and Image Understanding, 150: 1-30.

  • Meso A.I. and Masson G.S. (2014). Dynamic resolution of ambiguity during tri-stable motion perception. Vision Research, 107C: 113-123.


  • Meso A.I., Montagnini A., Bell J., and Masson G.S. (2016). Looking for symmetry: fixational eye movements are biased by image mirror symmetry. Journal of Neurophysiology, 116: 1250-1260.


  • Meso A.I., Rankin J., Faugeras O., Kornprobst P., and Masson G.S. (2016). The relative contribution of noise and adaptation to competition during tri-stable motion perception. Journal of Vision, 16: 1-24.

  • Montagnini A., Perrinet L.U., and Masson G.S. (2015). Visual Motion Processing and Human Tracking Behavior. Biologically Inspired Computer Vision, 267-294.
  • Perrinet L. and Masson G.S. (2012). Motion-Based Prediction is Sufficient to Solve the Aperture Problem. Neural Computation, 24.


  • Reynaud A., Takerkart S., Masson G.S., and Chavane F. (2011). Linear model decomposition for voltage-sensitive dye imaging signals: Application in awake behaving monkey. NeuroImage, 54: 1196-1210.


  • Simoncini C., Perrinet L.U., Montagnini A., Mamassian P., and Masson G.S. (2012). More is not always better: adaptive gain control explains dissociation between perception and action. Nature Neuroscience, 15: 1596-1603.


  • Spotorno S., Masson G.S., and Montagnini A. (2016). Fixational saccades during grating detection and discrimination. Vision Research, 118: 105-118.
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