Andrew Isaac Meso
Cited by
Cited by
Bifurcation study of a neural field competition model with an application to perceptual switching in motion integration
J Rankin, AI Meso, GS Masson, O Faugeras, P Kornprobst
Journal of Computational Neuroscience 36, 193-213, 2014
Speed encoding in correlation motion detectors as a consequence of spatial structure
AI Meso, JM Zanker
Biological cybernetics 100, 361-370, 2009
Numerosity and density judgments: Biases for area but not for volume
J Bell, A Manson, M Edwards, AI Meso
Journal of vision 15 (2), 18-18, 2015
The relative contribution of noise and adaptation to competition during tri-stable motion perception
AI Meso, J Rankin, O Faugeras, P Kornprobst, GS Masson
Journal of vision 16 (15), 6-6, 2016
A normalization mechanism for estimating visual motion across speeds and scales
N Gekas, AI Meso, GS Masson, P Mamassian
Current Biology 27 (10), 1514-1520. e3, 2017
Looking for symmetry: Fixational eye movements are biased by image mirror symmetry
AI Meso, A Montagnini, J Bell, GS Masson
Journal of Neurophysiology 116 (3), 1250-1260, 2016
Recurrent network dynamics reconciles visual motion segmentation and integration
NVK Medathati, J Rankin, AI Meso, P Kornprobst, GS Masson
Scientific Reports 7 (1), 11270, 2017
Biologically inspired dynamic textures for probing motion perception
J Vacher, AI Meso, LU Perrinet, G Peyré
Advances in neural information processing systems 28, 2015
Perceiving motion transparency in the absence of component direction differences
AI Meso, JM Zanker
Vision Research 49 (17), 2187-2200, 2009
Bayesian modeling of motion perception using dynamical stochastic textures
J Vacher, AI Meso, LU Perrinet, G Peyré
Neural computation 30 (12), 3355-3392, 2018
Visual motion gradient sensitivity shows scale invariant spatial frequency and speed tuning properties
AI Meso, RF Hess
Vision research 50 (15), 1475-1485, 2010
Dynamic resolution of ambiguity during tri-stable motion perception
AI Meso, GS Masson
Vision research 107, 113-123, 2015
Towards an understanding of the roles of visual areas MT and MST in computing speed
AI Meso, C Simoncini
Frontiers in computational neuroscience 8, 92, 2014
The relative contribution of executive functions and aging on attentional control during road crossing
VI Nicholls, JM Wiener, AI Meso, S Miellet
Frontiers in psychology 13, 912446, 2022
Orientation gradient detection exhibits variable coupling between first-and second-stage filtering mechanisms
AI Meso, RF Hess
JOSA A 28 (8), 1721-1731, 2011
Evidence of inverted gravity‐driven variation in predictive sensorimotor function
AI Meso, RL De Vai, A Mahabeer, PJ Hills
European Journal of Neuroscience 52 (12), 4803-4823, 2020
Scene regularity interacts with individual biases to modulate perceptual stability
Q Li, AI Meso, NK Logothetis, GA Keliris
Frontiers in neuroscience 13, 431273, 2019
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J Kim, PJ Marlow, BL Anderson, J Bell, S Sampasivam, DP McGovern, ...
Journal of Vision 14, 1, 2014
Eye Tracking: A Comprehensive Guide to Methods and Measures, Vision Rehabilitation: Multidisciplinary Care of the Patient following Brain Injury
AI Meso, K Fletcher, JJS Barton
Perception 41 (10), 1286-1288, 2012
Kingdom, FA (2011)
J Bell, E Gheorghiu, RF Hess
Global shape processing involves, 0
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Articles 1–20