Publications

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

Medathati N.V.K., Rankin J., Meso A.I., Kornprobst P., et Masson G.S. (2017). Recurrent network dynamics reconciles visual motion segmentation and integration. Scientific Reports, 7.

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

Vacher J., Meso A.I., Perrinet L.U., et Peyré G. (2018). Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures. Neural Computation, 1-38.

Vacher J., Meso A., Perrinet L., et Peyre G. (2015). Biologically Inspired Dynamic Textures for Probing Motion Perception. Advances in Neural Information Processing Systems, 28: 1918 - 1926.