D. R. Simmons, Vision in autism spectrum disorders, Vision Research, vol.49, issue.22, pp.2705-2739, 2009.
DOI : 10.1016/j.visres.2009.08.005

C. Deruelle, C. Rondan, B. Gepner, and C. Tardif, Spatial Frequency and Face Processing in Children with Autism and Asperger Syndrome, Journal of Autism and Developmental Disorders, vol.34, issue.2, pp.199-210, 2004.
DOI : 10.1023/B:JADD.0000022610.09668.4c
URL : https://hal.archives-ouvertes.fr/hal-00250051

K. Plaisted, J. Swettenham, and L. Rees, Children with Autism Show Local Precedence in a Divided Attention Task and Global Precedence in a Selective Attention Task, Journal of Child Psychology and Psychiatry, vol.40, issue.5, pp.733-742, 1999.
DOI : 10.1111/1469-7610.00489

N. J. Rinehart, J. L. Bradshaw, S. A. Moss, A. V. Brereton, and B. J. Tonge, Atypical Interference of Local Detail on Global Processing in High-functioning Autism and Asperger's Disorder, Journal of Child Psychology and Psychiatry, vol.41, issue.6, pp.769-778, 2000.
DOI : 10.1111/1469-7610.00664

F. Happé and U. Frith, The Weak Coherence Account: Detail-focused Cognitive Style in Autism Spectrum Disorders, Journal of Autism and Developmental Disorders, vol.24, issue.1430, pp.5-25, 2006.
DOI : 10.1007/s10803-005-0039-0

L. Mottron, M. Dawson, I. Soulières, B. Hubert, and J. Burack, Enhanced Perceptual Functioning in Autism: An Update, and Eight Principles of Autistic Perception, Journal of Autism and Developmental Disorders, vol.23, issue.1, pp.27-43, 2006.
DOI : 10.1007/s10803-005-0040-7

R. Van-der-hallen, K. Evers, K. Brewaeys, W. Van-den-noortgate, and J. Wagemans, Global processing takes time: A meta-analysis on local???global visual processing in ASD., Psychological Bulletin, vol.141, issue.3, pp.549-573, 2015.
DOI : 10.1037/bul0000004

P. H. Vlamings, L. M. Jonkman, E. Van-daalen, R. J. Van-der-gaag, and C. Kemner, Basic Abnormalities in Visual Processing Affect Face Processing at an Early Age in Autism Spectrum Disorder, Biological Psychiatry, vol.68, issue.12, pp.1107-1113, 2010.
DOI : 10.1016/j.biopsych.2010.06.024

M. A. Boeschoten, J. L. Kenemans, H. V. Engeland, and C. Kemner, Abnormal spatial frequency processing in high-functioning children with pervasive developmental disorder (PDD), Clinical Neurophysiology, vol.118, issue.9, pp.2076-2088, 2007.
DOI : 10.1016/j.clinph.2007.05.004

B. Jemel, D. Mimeault, D. Saint-amour, A. Hosein, and L. Mottron, VEP contrast sensitivity responses reveal reduced functional segregation of mid and high filters of visual channels in Autism, Journal of Vision, vol.10, issue.6, p.13, 2010.
DOI : 10.1167/10.6.13

L. Kéïta, J. Guy, C. Berthiaume, L. Mottron, and A. Bertone, An early origin for detailed perception in autism spectrum disorder: biased sensitivity for high-spatial frequency information, Sci. Rep, vol.4, p.5475, 2014.

M. V. De-jonge, Visual information processing in high-functioning individuals with autism spectrum disorders and their parents., Neuropsychology, vol.21, issue.1, pp.65-73, 2007.
DOI : 10.1037/0894-4105.21.1.65

H. C. Koh, E. Milne, and K. Dobkins, Spatial Contrast Sensitivity in Adolescents with Autism Spectrum Disorders, Journal of Autism and Developmental Disorders, vol.19, issue.5, pp.978-987, 2010.
DOI : 10.1007/s10803-010-0953-7

M. Behrmann, Configural processing in autism and its relationship to face processing, Neuropsychologia, vol.44, issue.1, pp.110-129, 2006.
DOI : 10.1016/j.neuropsychologia.2005.04.002

H. C. Hughes, G. Nozawa, and F. Kitterle, Global Precedence, Spatial Frequency Channels, and the Statistics of Natural Images, Journal of Cognitive Neuroscience, vol.31, issue.3, pp.197-230, 1996.
DOI : 10.1037/0033-295X.82.3.184

P. G. Schyns and A. Oliva, FROM BLOBS TO BOUNDARY EDGES:. Evidence for Time- and Spatial-Scale-Dependent Scene Recognition, Psychological Science, vol.22, issue.4, pp.195-200, 1994.
DOI : 10.1037//0096-1523.9.2.194

M. Bar, A Cortical Mechanism for Triggering Top-Down Facilitation in Visual Object Recognition, Journal of Cognitive Neuroscience, vol.70, issue.4, pp.600-609, 2003.
DOI : 10.1126/science.8316836

M. Bar, Top-down facilitation of visual recognition, Proc. Natl Acad. Sci. USA 103, pp.449-454, 2006.
DOI : 10.1073/pnas.0507062103

E. Goddard, T. A. Carlson, N. Dermody, and A. Woolgar, Representational dynamics of object recognition: Feedforward and feedback information flows, NeuroImage, vol.128, pp.385-397, 2016.
DOI : 10.1016/j.neuroimage.2016.01.006

E. Loth, J. C. Gómez, and F. Happé, When seeing depends on knowing: Adults with Autism Spectrum Conditions show diminished top-down processes in the visual perception of degraded faces but not degraded objects, Neuropsychologia, vol.48, issue.5, pp.1227-1236, 2010.
DOI : 10.1016/j.neuropsychologia.2009.12.023

D. Ropar and P. Mitchell, Shape constancy in autism: the role of prior knowledge and perspective cues, Journal of Child Psychology and Psychiatry, vol.24, issue.5, pp.647-653, 2002.
DOI : 10.1111/1469-7610.00748

E. Pellicano and D. Burr, 35494 | DOI: 10.1038/srep35494 22 When the world becomes " too real " : a Bayesian explanation of autistic perception, Scientific RepoRts | Trends Cogn. Sci, vol.6, issue.16, pp.503-509, 2012.

S. Van-de-cruys, Precise minds in uncertain worlds: Predictive coding in autism., Psychological Review, vol.121, issue.4, pp.649-675, 2014.
DOI : 10.1037/a0037665

F. Gosselin and P. G. Schyns, Bubbles: a technique to reveal the use of information in recognition tasks, Vision Research, vol.41, issue.17, pp.2261-2271, 2001.
DOI : 10.1016/S0042-6989(01)00097-9

S. Ullman, Visual routines, Cognition, vol.18, issue.1-3, pp.97-159, 1984.
DOI : 10.1016/0010-0277(84)90023-4

L. Caplette, E. Mccabe, C. Blais, and F. Gosselin, The time course of object, scene and face categorization in Handbook of categorization in cognitive science

M. Behrmann, Configural processing in autism and its relationship to face processing, Neuropsychologia, vol.44, issue.1, pp.110-129, 2006.
DOI : 10.1016/j.neuropsychologia.2005.04.002

D. H. Brainard, The Psychophysics Toolbox, Spatial Vision, vol.10, issue.4, pp.433-436, 1997.
DOI : 10.1163/156856897X00357

D. G. Pelli, The VideoToolbox software for visual psychophysics: transforming numbers into movies, Spatial Vision, vol.10, issue.4, pp.437-442, 1997.
DOI : 10.1163/156856897X00366

A. Shenhav, L. F. Barrett, and M. Bar, Affective value and associative processing share a cortical substrate, Cognitive, Affective, & Behavioral Neuroscience, vol.35, issue.2, pp.46-59, 2013.
DOI : 10.3758/s13415-012-0128-4

V. Willenbockel, Controlling low-level image properties: The SHINE toolbox, Behavior Research Methods, vol.39, issue.12, pp.671-684, 2010.
DOI : 10.3758/BRM.42.3.671

R. Allard and J. Faubert, The noisy-bit method for digital displays: Converting a 256 luminance resolution into a continuous resolution, Behavior Research Methods, vol.76, issue.Suppl. 2, pp.735-743, 2008.
DOI : 10.3758/BRM.40.3.735

A. Chauvin, K. J. Worsley, P. G. Schyns, M. Arguin, and F. Gosselin, Accurate statistical tests for smooth classification images, Journal of Vision, vol.5, issue.9, pp.659-667, 2005.
DOI : 10.1167/5.9.1
URL : https://hal.archives-ouvertes.fr/hal-00806723