The DOI matches its Crossref record; 306 of the 306 references it cites were found in a registry or an index.
Precise minds in uncertain worlds: Predictive coding in autism.
Open accessAbstract
There have been numerous attempts to explain the enigma of autism, but existing neurocognitive theories often provide merely a refined description of 1 cluster of symptoms. Here we argue that deficits in executive functioning, theory of mind, and central coherence can all be understood as the consequence of a core deficit in the flexibility with which people with autism spectrum disorder can process violations to their expectations. More formally we argue that the human mind processes information by making and testing predictions and that the errors resulting from violations to these predictions are given a uniform, inflexibly high weight in autism spectrum disorder. The complex, fluctuating nature of regularities in the world and the stochastic and noisy biological system through which people experience it require that, in the real world, people not only learn from their errors but also need to (meta-)learn to sometimes ignore errors. Especially when situations (e.g., social) or stimuli (e.g., faces) become too complex or dynamic, people need to tolerate a certain degree of error in order to develop a more abstract level of representation. Starting from an inability to flexibly process prediction errors, a number of seemingly core deficits become logically secondary symptoms. Moreover, an insistence on sameness or the acting out of stereotyped and repetitive behaviors can be understood as attempts to provide a reassuring sense of predictive success in a world otherwise filled with error. (PsycINFO Database Record (c) 2014 APA, all rights reserved).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“However, by logical extension, beyond a single ambiguous sensory event, all Bayesian accounts imply that dynamic learning about structural regularities (i.e. the formation of priors) is likely impaired in ASD 2–7.”
From Adults with autism overestimate the volatility of the sensory environment (2017) · cites this paper as [3]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The influential theory by Pellicano and Burr (40) posits that autistic individuals form unusually weak priors, and this has been extended into predictive coding accounts that highlight atypical inference processes in ASD (41).”
From Predictive coding and neurocomputational psychiatry: a mechanistic framework for understanding mental disorders (2026) · cites this paper as [41]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Bayesian theories of perception in ASD1 propose that reduced weighting of prior expectations, relative to sensory inputs, leads to the perceptual atypicalities associated with the condition2–7”
From Adults with autism overestimate the volatility of the sensory environment (2017) · cites this paper as [3]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Such an explanation is implied by conservative interpretations of non-hierarchical Bayesian accounts of ASD 2 and predictive processing accounts that emphasise “uniform” inflexibly high precision in sensory processing 3.”
From Adults with autism overestimate the volatility of the sensory environment (2017) · cites this paper as [3]
The cited source says what the claim attributes to it.
In the citing paper
“More recently, theories have been proposed that combine, integrate and extend these theories, e.g. the Predictive Coding account (PC; e.g., Van de Cruys et al., 2014) and the Polyvagal Theory (PT; e.g., Brown, 2020).”
From Innovations of the ICD-11 in the Field of Autism Spectrum Disorder: A Psychological Approach (2022) · cites this paper as Van de Cruys et al., 2014
The cited source says what the claim attributes to it.
In the citing paper
“neurodevelopmental disorders such as autism spectrum disorder [132,133] and schizophrenia [134,135] have been linked to an atypical integration of prior and incoming information”
From How Do Expectations Shape Perception? (2018) · cites this paper as [133]
In the citing paper
“A candidate theory that might fill this gap is what one might refer to as the “Bayesian brain” perspective on ASD (2–4).”
From Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice? (2016) · cites this paper as [4]
In the citing paper
“Alternatively, as suggested by Lawson et al. (3) and Van de Cruys et al. (4), precisions could be tuned abnormally.”
From Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice? (2016) · cites this paper as [4]
In the citing paper
“Finally, Van de Cruys et al. (4) pointed out that normal, or even tight, high-order beliefs could be present in ASD, provided that their effects are outweighed by overly high precision of sensory prediction errors.”
From Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice? (2016) · cites this paper as [4]
In the citing paper
“In the elaboration of the Bayesian brain hypothesis of ASD (2) and subsequent theoretical papers (3, 4, 97–99), results from numerous earlier cognitive and psychophysical studies were re-interpreted post hoc in the novel framework.”
From Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice? (2016) · cites this paper as [4]
In the citing paper
“The recently developed Bayesian brain theories of ASD can not only explain cardinal features of autistic symptomatology but also a broad range of previous empirical findings in the domain of neuropsychology, neurophysiology, and functional neuroimaging.”
From Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice? (2016) · cites this paper as [4]
In the citing paper
“the same theme of an imbalance between bottom-up and top-down processing figures prominently in current debates about autism (33,34).”
From Shift toward prior knowledge confers a perceptual advantage in early psychosis and psychosis-prone healthy individuals (2015) · cites this paper as [33]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Cognitive flexibility in autism spectrum disorder: Explaining the inconsistencies?
Van Eylen, L., Boets, B., Steyaert, J., Evers, K., Wagemans, J., & Noens, I. (2011) · Research in Autism Spectrum Disorders · doi:10.1016/j.rasd.2011.01.025 · Cited by 183
Self-citationRetractedA neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
(1943) · The Nervous child · Cited by 8,870
Does the chimpanzee have a theory of mind?
Premack, D., & Woodruff, G. (1978) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00076512 · Cited by 8,743
The free-energy principle: a unified brain theory?
Friston, K. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2787 · Cited by 8,120 · cited 4×
“In Friston’s predictive coding model, precision is regulated by neuromodulators that control the gain of the units representing prediction errors (Friston, 2010).”
BackgroundInfluentialWhatever next? Predictive brains, situated agents, and the future of cognitive science
Clark, A. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000477 · Cited by 5,924
Rao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483 · cited 1×
“Predictive coding can account for fundamental stages of perceptual processing, such as the emergence of extra-classical receptive field effects measured with single cell recordings in the primary visual cortex (Rao & Ballard, 1999).”
BackgroundAston-Jones, G., & Cohen, J. D. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135709 · Cited by 4,472
Rubber hands ‘feel’ touch that eyes see
Botvinick, M., & Cohen, J. (1998) · Nature · doi:10.1038/35784 · Cited by 4,410
Colman (2022) · doi:10.1073/pnas · Cited by 4,370
Behavioral treatment and normal educational and intellectual functioning in young autistic children.
Lovaas, O. I. (1987) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.55.1.3 · Cited by 3,288
The weak coherence account: detail-focused cognitive style in autism spectrum disorders
Happé, F., & Frith, U. (2006) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-005-0039-0 · Cited by 2,884
Philosophical Transactions of the Royal Society B: biological sciences
Porter, J. R., & Semenov, M. A. (2026) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb · Cited by 2,878
Global Prevalence of Autism and Other Pervasive Developmental Disorders
Elsabbagh, M., Divan, G., Koh, Y., Kim, Y. S., Kauchali, S., Marcín, C., Montiel‐Nava, C., Patel, V., Paula, C. S., Wang, C., et al. (2012) · Autism Research · doi:10.1002/aur.239 · Cited by 2,636
Daw, N. D., Niv, Y., & Dayan, P. (2005) · Nature Neuroscience · doi:10.1038/nn1560 · Cited by 2,533
Principles of Perceptual Learning and Development
Gibson, E. J. (1973) · Leonardo · doi:10.2307/1572721 · Cited by 2,505
Development and neurophysiology of mentalizing
Frith, U., & Frith, C. D. (2003) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1218 · Cited by 2,306
Treatise on Physiological Optics
von Helmholtz, H., & Southall, P. C. (1962) · Medical Entomology and Zoology · Cited by 2,196
Klin, A., Jones, W., Schultz, R., Volkmar, F., & Cohen, D. (2002) · Archives of General Psychiatry · doi:10.1001/archpsyc.59.9.809 · Cited by 2,120
Baird, G., Simonoff, E., Pickles, A., Chandler, S., Loucas, T., Meldrum, D., & Charman, T. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69041-7 · Cited by 2,104
Learning the value of information in an uncertain world
Behrens, T. E. J., Woolrich, M. W., Walton, M. E., & Rushworth, M. F. S. (2007) · Nature Neuroscience · doi:10.1038/nn1954 · Cited by 2,053
Enhanced Perceptual Functioning in Autism: An Update, and Eight Principles of Autistic Perception
Mottron, L., Dawson, M., Soulières, I., Hubert, B., & Burack, J. (2006) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-005-0040-7 · Cited by 1,957
The free-energy principle: a rough guide to the brain?
Friston, K. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.04.005 · Cited by 1,831
Sweet anticipation: music and the psychology of expectation
Huron, D., Marcus, R., Pearce, T., & Müllensiefen, D. (2007) · Choice Reviews Online · doi:10.5860/choice.44-4368 · Cited by 1,830
Hearing Sounds, Understanding Actions: Action Representation in Mirror Neurons
Kohler, E., Keysers, C., Umiltà, M. A., Fogassi, L., Gallese, V., & Rizzolatti, G. (2002) · Science · doi:10.1126/science.1070311 · Cited by 1,801
Uncertainty, Neuromodulation, and Attention
Yu, A. J., & Dayan, P. (2005) · Neuron · doi:10.1016/j.neuron.2005.04.026 · Cited by 1,774
A Core System for the Implementation of Task Sets
Dosenbach, N. U. F., Visscher, K. M., Palmer, E. D., Miezin, F. M., Wenger, K. K., Kang, H. C., Burgund, E. D., Grimes, A. L., Schlaggar, B. L., & Petersen, S. E. (2006) · Neuron · doi:10.1016/j.neuron.2006.04.031 · Cited by 1,772
Behavioral manifestations of autism in the first year of life
Zwaigenbaum, L., Bryson, S., Rogers, T., Roberts, W., Brian, J., & Szatmari, P. (2005) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2004.05.001 · Cited by 1,602
Tomchek, S. D., & Dunn, W. (2007) · American Journal of Occupational Therapy · doi:10.5014/ajot.61.2.190 · Cited by 1,534
Amaral, D. G., Schumann, C. M., & Nordahl, C. W. (2008) · Trends in Neurosciences · doi:10.1016/j.tins.2007.12.005 · Cited by 1,492
Executive dysfunction in autism☆
Hill, E. L. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2003.11.003 · Cited by 1,468
Perceiving is believing: a Bayesian approach to explaining the positive symptoms of schizophrenia
Fletcher, P. C., & Frith, C. D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2536 · Cited by 1,462
Autism: beyond “theory of mind”
Frith, U., & Happé, F. (1994) · Cognition · doi:10.1016/0010-0277(94)90024-8 · Cited by 1,450
A Unified Account of the Effects of Distinctiveness, Inversion, and Race in Face Recognition
Valentine, T. (1991) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/14640749108400966 · Cited by 1,434
Motor coordination in autism spectrum disorders: A synthesis and meta-analysis
Fournier, K. A., Hass, C. J., Naik, S. K., Lodha, N., & Cauraugh, J. H. (2010) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-010-0981-3 · Cited by 1,271
Hillyard, S. A., Vogel, E. K., & Luck, S. J. (1998) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.1998.0281 · Cited by 1,201
When the world becomes ‘too real’: a Bayesian explanation of autistic perception
Pellicano, E., & Burr, D. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.08.009 · Cited by 1,156
Berlyne, D. E. (1966) · Science · doi:10.1126/science.153.3731.25 · Cited by 1,145
Early behavioral intervention, brain plasticity, and the prevention of autism spectrum disorder
Dawson, G. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000370 · Cited by 1,138 · cited 1×
“Animal models of ASD-related diseases show that environmental enrichment can reduce risk of developmental disorders (G. Dawson, 2008).”
BackgroundPredictive coding: an account of the mirror neuron system
Kilner, J. M., Friston, K. J., & Frith, C. D. (2007) · Cognitive Processing · doi:10.1007/s10339-007-0170-2 · Cited by 1,134
Baron-Cohen, S., Ring, H. A., Bullmore, E. T., Wheelwright, S., Ashwin, C., & Williams, S. C. R. (2000) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(00)00011-7 · Cited by 1,130
Intrinsic Motivation Systems for Autonomous Mental Development
Oudeyer, P.-Y., Kaplan, F., & Hafner, V. V. (2007) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2006.890271 · Cited by 1,126
Cortical oscillations and sensory predictions
Arnal, L. H., & Giraud, A.-L. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.05.003 · Cited by 1,114
A meta-analysis of sensory modulation symptoms in individuals with autism spectrum disorders
Ben-Sasson, A., Hen, L., Fluss, R., Cermak, S. A., Engel-Yeger, B., & Gal, E. (2009) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-008-0593-3 · Cited by 1,047 · cited 2×
“By caregivers this may be interpreted as hyporeactivity (Ben-Sasson et al., 2009; Tomchek & Dunn, 2007).”
BackgroundFurther evaluation of the Dutch supervision system for suicides of mental health care users
(2013) · EUR Research Repository (Erasmus University Rotterdam) · doi:10.1176/appi · Cited by 1,030
Harms, M. B., Martin, A., & Wallace, G. L. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9138-6 · Cited by 1,028
Hawkins, J., & Blakeslee, S. (2004) · Cited by 1,012
Barrett, L. F., Mesquita, B., & Gendron, M. (2011) · Current Directions in Psychological Science · doi:10.1177/0963721411422522 · Cited by 995
Evidence-Based Comprehensive Treatments for Early Autism
Rogers, S. J., & Vismara, L. A. (2008) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374410701817808 · Cited by 984
An Interoceptive Predictive Coding Model of Conscious Presence
Seth, A. K., Suzuki, K., & Critchley, H. D. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00395 · Cited by 950 · cited 3×
“Consequentially, these individuals will experience difficulties in inferring emotions from their own bodily states and expressions (Seth et al., 2012).”
BackgroundInfluentialWhy Do Autistic Individuals Show Superior Performance on the Block Design Task?
Shah, A., & Uta Frith, A. (1993) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1993.tb02095.x · Cited by 941
The Prevalence of Anxiety and Mood Problems among Children with Autism and Asperger Syndrome
Kim, J. A., Szatmári, P., Bryson, S. E., Streiner, D. L., & Wilson, F. (2000) · Autism · doi:10.1177/1362361300004002002 · Cited by 937
Two-year-olds with autism orient to non-social contingencies rather than biological motion
Klin, A., Lin, D. J., Gorrindo, P., Ramsay, G., & Jones, W. (2009) · Nature · doi:10.1038/nature07868 · Cited by 921
Constantino, J. N. (2013) · Encyclopedia of Autism Spectrum Disorders · doi:10.1007/978-1-4419-1698-3_296 · Cited by 908
Action and behavior: a free-energy formulation
Friston, K. J., Daunizeau, J., Kilner, J., & Kiebel, S. J. (2010) · Biological Cybernetics · doi:10.1007/s00422-010-0364-z · Cited by 866
The Computational Anatomy of Psychosis
Adams, R. A., Stephan, K. E., Brown, H. R., Frith, C. D., & Friston, K. J. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00047 · Cited by 850 · cited 1×
“…that may be important to consider are the specific level of origin of the prediction errors (conceptual or action vs perceptual prediction errors, Adams et al., 2013; Fletcher & Frith, 2009) and the subjective confidence level (precision) that top-down beliefs can take on (to explain their…”
BackgroundEvaluating the theory of executive dysfunction in autism
Hill, E. L. (2004) · Developmental Review · doi:10.1016/j.dr.2004.01.001 · Cited by 846
Theory of mind and autism: A review
Baron‐Cohen, S. (2000) · International review of research in mental retardation · doi:10.1016/s0074-7750(00)80010-5 · Cited by 836
Body Cues, Not Facial Expressions, Discriminate Between Intense Positive and Negative Emotions
Aviezer, H., Trope, Y., & Todorov, A. T. (2012) · Science · doi:10.1126/science.1224313 · Cited by 829
Vision in autism spectrum disorders
Simmons, D. R., Robertson, A. E., McKay, L. S., Toal, E., McAleer, P., & Pollick, F. E. (2009) · Vision Research · doi:10.1016/j.visres.2009.08.005 · Cited by 827
A Bayesian account of ‘hysteria’
Edwards, M. J., Adams, R. A., Brown, H., Parees, I., & Friston, K. J. (2012) · Brain · doi:10.1093/brain/aws129 · Cited by 825
Recognition of Emotions in Autism: A Formal Meta-Analysis
Uljarevic, M., & Hamilton, A. (2013) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-012-1695-5 · Cited by 824
Vagaries of Visual Perception in Autism
Dakin, S. C., & Frith, U. (2005) · Neuron · doi:10.1016/j.neuron.2005.10.018 · Cited by 804
Gregory, R. L. (1980) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1980.0090 · Cited by 789
Human insula activation reflects risk prediction errors as well as risk
Preuschoff, K., Quartz, S. R., & Bossaerts, P. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4286-07.2008 · Cited by 784
Increased dendritic spine densities on cortical projection neurons in autism spectrum disorders
Hutsler, J. J., & Zhang, H. (2010) · Brain Research · doi:10.1016/j.brainres.2009.09.120 · Cited by 765
Annotation: Repetitive Behaviour in Autism: A Review of Psychological Research
Turner, M. (1999) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00502 · Cited by 731
Rational regulation of learning dynamics by pupil-linked arousal systems
Nassar, M. R., Rumsey, K. M., Wilson, R. C., Parikh, K., Heasly, B., & Gold, J. I. (2012) · Nature Neuroscience · doi:10.1038/nn.3130 · Cited by 722
(2014) · doi:10.1523/jneurosci · Cited by 715
Genetics of autism spectrum disorders
Geschwind, D. H. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.07.003 · Cited by 696
Neural repetition suppression reflects fulfilled perceptual expectations
Summerfield, C., Trittschuh, E. H., Monti, J. M., Mesulam, M.-M., & Egner, T. (2008) · Nature Neuroscience · doi:10.1038/nn.2163 · Cited by 692
Talent in autism: hyper-systemizing, hyper-attention to detail and sensory hypersensitivity
Baron-Cohen, S., Ashwin, E., Ashwin, C., Tavassoli, T., & Chakrabarti, B. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0337 · Cited by 669
Activity-dependent neuronal signalling and autism spectrum disorder
Ebert, D. H., & Greenberg, M. E. (2013) · Nature · doi:10.1038/nature11860 · Cited by 666
Empathic brain responses in insula are modulated by levels of alexithymia but not autism
Bird, G., Silani, G., Brindley, R., White, S., Frith, U., & Singer, T. (2010) · Brain · doi:10.1093/brain/awq060 · Cited by 655
A Bayesian foundation for individual learning under uncertainty
Mathys, C. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00039 · Cited by 655
Superior visual search in autism.
O'riordan, M., Plaisted, K., Driver, J., & Baron-Cohen, S. (2001) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.27.3.719 · Cited by 624
Psychological entropy: a framework for understanding uncertainty-related anxiety
Hirsh, J. B., Mar, R. A., & Peterson, J. B. (2012) · Psychological Review · doi:10.1037/a0026767 · Cited by 606
Lopez, B. R., Lincoln, A. J., Ozonoff, S., & Lai, Z. (2005) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-005-5035-x · Cited by 603
Martino, A. D., Ross, K. V., Uddin, L. Q., Sklar, A. B., Castellanos, F. X., & Milham, M. P. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.09.022 · Cited by 597
Comorbid psychopathology with autism spectrum disorder in children: An overview
Matson, J. L., & Nebel-Schwalm, M. S. (2006) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2005.12.004 · Cited by 590
Diagnostic and Statistical Manual of Mental Disorders
REIFF, M. I., & Feldman, H. M. (2014) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0000000000000017 · Cited by 576
Modeling the auditory scene: predictive regularity representations and perceptual objects
Winkler, I., Denham, S. L., & Nelken, I. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.09.003 · Cited by 574
The Intense World Theory – A Unifying Theory of the Neurobiology of Autism
Markram, H., & Markram, H. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00224 · Cited by 571
Evidence for a hierarchy of predictions and prediction errors in human cortex
Wacongne, C., Labyt, E., van Wassenhove, V., Bekinschtein, T., Naccache, L., & Dehaene, S. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117807108 · Cited by 560
Superior visual search in autism.
O’Riordan, M., Plaisted, K. C., Driver, J., & Baron‐Cohen, S. (2001) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.27.3.719 · Cited by 557
Mismatch negativity (MMN), the deviance-elicited auditory deflection, explained
May, P. J. C., & Tiitinen, H. (2010) · Psychophysiology · doi:10.1111/j.1469-8986.2009.00856.x · Cited by 549
Principles of Perceptual Learning and Development
Gibson, E. J. (1971) · Optometry and Vision Science · doi:10.1097/00006324-197110000-00017 · Cited by 548
Predictive coding explains binocular rivalry: an epistemological review
Hohwy, J., Roepstorff, A., & Friston, K. (2008) · Cognition · doi:10.1016/j.cognition.2008.05.010 · Cited by 546
A neuronal model of predictive coding accounting for the mismatch negativity.
Wacongne, C., Changeux, J.-P., & Dehaene, S. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.5003-11.2012 · Cited by 542
The paradox of cognitive flexibility in autism
Geurts, H. M., Corbett, B., & Solomon, M. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.11.006 · Cited by 538
Bertone, A., Mottron, L., Jelenic, P., & Faubert, J. (2005) · Brain · doi:10.1093/brain/awh561 · Cited by 536
Enhanced pitch sensitivity in individuals with autism: a signal detection analysis
Bonnel, A., Mottron, L., Peretz, I., Trudel, M., Gallun, E., & Bonnel, A.-M. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903321208169 · Cited by 527
The pattern of sensory processing abnormalities in autism
Kern, J. K., Trivedi, M. H., Garver, C. R., Grannemann, B. D., Andrews, A. A., Savla, J. S., Johnson, D. G., Mehta, J. A., & Schroeder, J. L. (2006) · Autism · doi:10.1177/1362361306066564 · Cited by 515
The free-energy self: a predictive coding account of self-recognition
Apps, M. A. J., & Tsakiris, M. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.01.029 · Cited by 514
Theory of Mind: A Neural Prediction Problem
Koster-Hale, J., & Saxe, R. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.020 · Cited by 513
Face identity recognition in autism spectrum disorders: A review of behavioral studies
Weigelt, S., Koldewyn, K., & Kanwisher, N. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.12.008 · Cited by 513
How prediction errors shape perception, attention, and motivation
den Ouden, H. E. M., Kok, P., & de Lange, F. P. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00548 · Cited by 512
Contrasting roles for cingulate and orbitofrontal cortex in decisions and social behaviour
Rushworth, M. F. S., Behrens, T. E. J., Rudebeck, P. H., & Walton, M. E. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.01.004 · Cited by 507
Understanding Executive Control in Autism Spectrum Disorders in the Lab and in the Real World
Kenworthy, L., Yerys, B. E., Anthony, L. G., & Wallace, G. L. (2008) · Neuropsychology Review · doi:10.1007/s11065-008-9077-7 · Cited by 504
Happé, F., & Ronald, A. (2008) · Neuropsychology Review · doi:10.1007/s11065-008-9076-8 · Cited by 498
Profiles of everyday executive function in acquired and developmental disorders.
Gioia, G. A., Isquith, P. K., Kenworthy, L., & Barton, R. M. (2002) · Child Neuropsychology · doi:10.1076/chin.8.2.121.8727 · Cited by 498 · cited 1×
“Hence, this reasoning might also explain some of the inconsistencies in studies of other executive functions (Gioia et al., 2002; White et al., 2009).”
ResultThe proactive brain: memory for predictions
Bar, M. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0310 · Cited by 498
Learning and selective attention
Dayan, P., Kakade, S., & Montague, P. R. (2000) · Nature Neuroscience · doi:10.1038/81504 · Cited by 495
Seeing it differently: visual processing in autism
BEHRMANN, M., THOMAS, C., & HUMPHREYS, K. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.05.001 · Cited by 469
Auditory processing in autism spectrum disorder: A review
O’Connor, K. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.11.008 · Cited by 466
Bayesian theories of conditioning in a changing world
Courville, A. C., Daw, N. D., & Touretzky, D. S. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.05.004 · Cited by 457
Shen, W., Plotkin, J. L., Francardo, V., Ko, W. K. D., Xie, Z., Li, Q., Fieblinger, T., Wess, J., Neubig, R. R., Lindsley, C. W., et al. (2015) · HAL · doi:10.1016/j.neuron · Cited by 452
Stimulus overselectivity in autism: A review of research
Lovaas, O. I., Koegel, R. L., & Schreibman, L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.6.1236 · Cited by 449
Belmonte, M. K., Cook, E. H., Anderson, G. M., Rubenstein, J. L. R., Greenough, W. T., Beckel-Mitchener, A., Courchesne, E., Boulanger, L. M., Powell, S. B., Levitt, P. R., et al. (2004) · Molecular Psychiatry · doi:10.1038/sj.mp.4001499 · Cited by 442
The anterior insula in autism: Under-connected and under-examined
Uddin, L. Q., & Menon, V. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.06.002 · Cited by 432
Understanding all inconsistency compensation as a palliative response to violated expectations
Proulx, T., Inzlicht, M., & Harmon‐Jones, E. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.04.002 · Cited by 432
Rommelse, N. N. J., Geurts, H. M., Franke, B., Buitelaar, J. K., & Hartman, C. A. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.02.015 · Cited by 429
Atypical attentional networks and the emergence of autism
Keehn, B., Müller, R.-A., & Townsend, J. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.11.014 · Cited by 412
Motion processing in autism: evidence for a dorsal stream deficiency
Spencer, J., OʼBrien, J., Riggs, K., Braddick, O., Atkinson, J., & Wattam-Bell, J. (2000) · Neuroreport · doi:10.1097/00001756-200008210-00031 · Cited by 402
McPartland, J. C., Dawson, G., Webb, S. J., Panagiotides, H., & Carver, L. J. (2004) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2004.00318.x · Cited by 402
Processing of Temporal Unpredictability in Human and Animal Amygdala
Herry, C., Bach, D. R., Esposito, F., Di Salle, F., Perrig, W. J., Scheffler, K., Lüthi, A., & Seifritz, E. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5218-06.2007 · Cited by 401
Autism in Infancy and Early Childhood
Volkmar, F., Chawarska, K., & Klin, A. (2005) · Annual Review of Psychology · doi:10.1146/annurev.psych.56.091103.070159 · Cited by 400
The savant syndrome: an extraordinary condition. A synopsis: past, present, future
Treffert, D. A. (2009) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2008.0326 · Cited by 394
Prior expectation mediates neural adaptation to repeated sounds in the auditory cortex: an MEG study
Todorovic, A., van Ede, F., Maris, E., & de Lange, F. P. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1425-11.2011 · Cited by 391
Cholinergic Activity in Autism: Abnormalities in the Cerebral Cortex and Basal Forebrain
Perry, E. K., Lee, M., Martin-Ruiz, C. M., COURT, J. A., Volsen, S. G., Merrit, J., Folly, E. A., Iversen, P. E., Bauman, M. L., Perry, R. H., et al. (2001) · American Journal of Psychiatry · doi:10.1176/appi.ajp.158.7.1058 · Cited by 390
Klin, A. (1991) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02206995 · Cited by 383
High motion coherence thresholds in children with autism
Milne, E., Swettenham, J., Hansen, P., Campbell, R., Jeffries, H., & Plaisted, K. C. (2002) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00018 · Cited by 382
Alexithymia, Not Autism, Predicts Poor Recognition of Emotional Facial Expressions
Cook, R., Brewer, R., Shah, P., & Bird, G. (2013) · Psychological Science · doi:10.1177/0956797612463582 · Cited by 378
Sensory integration and the perceptual experience of persons with autism
Iarocci, G., & McDonald, J. (2006) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-005-0044-3 · Cited by 376
Free-Energy Minimization and the Dark-Room Problem
Friston, K., Thornton, C., & Clark, A. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00130 · Cited by 367
Enhanced Perceptual Functioning in the Development of Autism
Burack, J. A., Charman, T., Yirmiya, N., & Zelazo, P. R. (2001) · Routledge eBooks · doi:10.4324/9781410600196-14 · Cited by 366
Global processing takes time: A meta-analysis on local–global visual processing in ASD.
der Hallen, R. V., Evers, K., Brewaeys, K., Noortgate, W. V. D., & Wagemans, J. P. (2014) · Psychological Bulletin · doi:10.1037/bul0000004 · Cited by 361
Self-citationPlaisted, K. C., O’Riordan, M., & Baron‐Cohen, S. (1998) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00375 · Cited by 356
Expectation and Surprise Determine Neural Population Responses in the Ventral Visual Stream
Egner, T., Monti, J. M., & Summerfield, C. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.2770-10.2010 · Cited by 350
Meta‐cognition in Animals: A Skeptical Look
Carruthers, P. (2008) · Mind & Language · doi:10.1111/j.1468-0017.2007.00329.x · Cited by 337
The discrimination of and orienting to speech and non-speech sounds in children with autism
Lepistö, T., Kujala, T., Vanhala, R., Alku, P., Huotilainen, M., & Näätänen, R. (2005) · Brain Research · doi:10.1016/j.brainres.2005.10.052 · Cited by 336
Richler, J., Huerta, M., Bishop, S. L., & Lord, C. (2010) · Development and Psychopathology · doi:10.1017/s0954579409990265 · Cited by 335
Todorovic, A., & de Lange, F. P. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2227-12.2012 · Cited by 326
Genetic overlap between autism, schizophrenia and bipolar disorder
Carroll, L. S., & Owen, M. J. (2009) · Genome Medicine · doi:10.1186/gm102 · Cited by 326
Emotional Valence and the Free-Energy Principle
Joffily, M., & Coricelli, G. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003094 · Cited by 322
Pellicano, E., Gibson, L., Maybery, M., Durkin, K., & Badcock, D. R. (2005) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.10.003 · Cited by 322
Atypical object exploration at 12 months of age is associated with autism in a prospective sample
Ozonoff, S., Macari, S., Young, G. S., Goldring, S., Thompson, M., & Rogers, S. J. (2008) · Autism · doi:10.1177/1362361308096402 · Cited by 321
Neurochemical correlates of autistic disorder: a review of the literature
Lam, K. S. L., Aman, M. G., & Arnold, L. E. (2006) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2005.03.003 · Cited by 318
The Power of the Positive: Revisiting Weak Coherence in Autism Spectrum Disorders
Happe, F. G. E., & Booth, R. D. L. (2007) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470210701508731 · Cited by 314
Why is visual search superior in autism spectrum disorder?
Joseph, R. M., Keehn, B., Connolly, C., Wolfe, J. M., & Horowitz, T. S. (2009) · Developmental Science · doi:10.1111/j.1467-7687.2009.00855.x · Cited by 313
Free Energy, Precision and Learning: The Role of Cholinergic Neuromodulation
Moran, R. J., Campo, P., Symmonds, M., Stephan, K. E., Dolan, R. J., & Friston, K. J. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4255-12.2013 · Cited by 312
Sasson, N. J., Turner‐Brown, L. M., Holtzclaw, T. N., Lam, K. S. L., & Bodfish, J. W. (2008) · Autism Research · doi:10.1002/aur.4 · Cited by 311
Putting Reward in Art: A Tentative Prediction Error Account of Visual Art
de Cruys, S. V., & Wagemans, J. P. (2011) · i-Perception · doi:10.1068/i0466aap · Cited by 311
Self-citationHamilton, A. F. D. C., Brindley, R., & Uta Frith, A. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.11.022 · Cited by 309
Mottron, L., Peretz, I., & Ménard, É. (2000) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00693 · Cited by 306
Motion Perception in Autism: A “Complex” Issue
Bertone, A., Mottron, L., Jelenic, P., & Faubert, J. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903321208150 · Cited by 306
Striatal Prediction Error Modulates Cortical Coupling
den Ouden, H. E. M., Daunizeau, J., Roiser, J., Friston, K. J., & Stephan, K. E. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4458-09.2010 · Cited by 304
Pitch memory, labelling and disembedding in autism
Heaton, P. F. (2003) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00143 · Cited by 302
Reduced behavioral flexibility in autism spectrum disorders.
D'Cruz, A.-M., Ragozzino, M. E., Mosconi, M. W., Shrestha, S., Cook, E. H., & Sweeney, J. A. (2013) · Neuropsychology · doi:10.1037/a0031721 · Cited by 300
Autism, Asperger's syndrome and semantic‐pragmatic disorder: Where are the boundaries?
Bishop, D. (1989) · International Journal of Language & Communication Disorders · doi:10.3109/13682828909011951 · Cited by 291
Tavassoli (2006) · doi:10.1016/j.bandc.2005.12.013 · Cited by 290
Odom, S. L., Brown, W. H., Frey, T., Karasu, N., Lee Smith-Canter, L., & Strain, P. S. (2003) · Focus on Autism and Other Developmental Disabilities · doi:10.1177/10883576030180030401 · Cited by 288
The hyper-systemizing, assortative mating theory of autism
Baron-Cohen, S. (2006) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2006.01.010 · Cited by 287
Van Der Geest, J. N., Kemner, C., Verbaten, M. N., & Van Engeland, H. (2002) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00055 · Cited by 286
Gomot, M., Giard, M., Adrien, J., Barthélémy, C., & Bruneau, N. (2002) · Psychophysiology · doi:10.1111/1469-8986.3950577 · Cited by 283
Visual orienting in the early broader autism phenotype: disengagement and facilitation
Elsabbagh, M., Volein, A., Holmboe, K., Tucker, L., Csibra, G., Baron‐Cohen, S., Bolton, P., Charman, T., Baird, G., & Johnson, M. H. (2009) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2008.02051.x · Cited by 279
White Matter Microstructure and Atypical Visual Orienting in 7-Month-Olds at Risk for Autism
Elison, J. T., Paterson, S. J., Wolff, J. J., Reznick, J. S., Sasson, N. J., Gu, H., Botteron, K. N., Dager, S. R., Estes, A. M., Evans, A. C., et al. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.12091150 · Cited by 277 · cited 1×
“Atypical attention happens to be among the earliest signs of ASD, described in terms of the flexible and appropriate assignment of salience to stimuli (Elison et al., 2013; Zwaigenbaum et al., 2005).”
BackgroundHam, T., Leff, A., de Boissezon, X., Joffe, A., & Sharp, D. J. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4692-12.2013 · Cited by 271
Increased perception of loudness in autism
Khalfa, S., Bruneau, N., Rogé, B., Georgieff, N., Veuillet, E., Adrien, J., Barthélémy, C., & Collet, L. (2004) · Hearing Research · doi:10.1016/j.heares.2004.07.006 · Cited by 265
Grandin, T. (1992) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.1992.2.63 · Cited by 263
Enhanced pure-tone pitch discrimination among persons with autism but not Asperger syndrome
Bonnel, A., McAdams, S., Smith, B., Berthiaume, C., Bertone, A., Ciocca, V., Burack, J. A., & Mottron, L. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.04.020 · Cited by 262
Auditory discrimination and auditory sensory behaviours in autism spectrum disorders
Jones, C. R. G., Happé, F., Baird, G., Simonoff, E., Marsden, A. J. S., Tregay, J., Phillips, R. J., Goswami, U., Thomson, J. M., & Charman, T. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.06.015 · Cited by 262
The neural representation of unexpected uncertainty during value-based decision making
Payzan-LeNestour, E., Dunne, S., Bossaerts, P., & O’Doherty, J. P. (2013) · Neuron · doi:10.1016/j.neuron.2013.04.037 · Cited by 257
Network Resets in Medial Prefrontal Cortex Mark the Onset of Behavioral Uncertainty
Karlsson, M. P., Tervo, D. G. R., & Karpova, A. Y. (2012) · Science · doi:10.1126/science.1226518 · Cited by 252
Brief report: Planning problems in autism at the level of motor control
Hughes, C. (1996) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02276237 · Cited by 243
Klinger, L. G., & Dawson, G. (2001) · Development and Psychopathology · doi:10.1017/s0954579401001080 · Cited by 243
Intact automatic imitation of human and robot actions in autism spectrum disorders
Bird, G., Leighton, J., Press, C., & Heyes, C. (2007) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2007.1019 · Cited by 242
Attention, learning, and the value of information
Gottlieb, J. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.034 · Cited by 241 · cited 2×
“Setting precision consequently relies on a form of metalearning: learning what is learnable (Gottlieb, 2012) or estimating the predictability of new contingencies.”
BackgroundRice, K., Moriuchi, J. M., Jones, W., & Klin, A. (2012) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2011.12.017 · Cited by 237
Veridical mapping in the development of exceptional autistic abilities
Mottron, L., Bouvet, L., Bonnel, A., Samson, F., Burack, J. A., Dawson, M., & Heaton, P. F. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.11.016 · Cited by 233
Savant skills in autism: psychometric approaches and parental reports
Howlin, P., Goode, S., Hutton, J., & Rutter, M. L. (2009) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2008.0328 · Cited by 227
Audiovisual speech integration and lipreading in autism
Smith, E. G., & Bennetto, L. (2007) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2007.01766.x · Cited by 226
Progress toward treatments for synaptic defects in autism
Delorme, R., Ey, E., Toro, R., Leboyer, M., Gillberg, C., & Bourgeron, T. (2013) · Nature Medicine · doi:10.1038/nm.3193 · Cited by 218
The modulation of sensory input and motor output in autistic children
Ornitz, E. M. (1974) · Journal of Autism and Childhood Schizophrenia · doi:10.1007/bf02115226 · Cited by 217 · cited 1×
“These patterns establish controllable and thus very predictable proprioceptive (kinesthetic) feedback, that helps individuals with ASD to better cope with their environment (Ornitz, 1974).”
BackgroundA challenging, unpredictable world for people with Autism Spectrum Disorder
Gomot, M., & Wicker, B. (2011) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2011.09.017 · Cited by 217
Bauman, M. L. (2006) · Johns Hopkins University Press eBooks · doi:10.1353/book.3225 · Cited by 215
Reduced Generalization in Autism: An Alternative to Weak Central Coherence
Plaisted, K. C. (2001) · Apollo (University of Cambridge) · Cited by 213
A predictive coding perspective on autism spectrum disorders
van Boxtel, J. J. A., & Lu, H. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00019 · Cited by 210
Thinking in Pictures: And Other Reports From My Life With Autism
Mikkelsen, E. J. (1996) · JAMA · doi:10.1001/jama.1996.03530440088042 · Cited by 210
Ferri, R., Elia, M., Agarwal, N., Lanuzza, B., Musumeci, S. A., & Pennisi, G. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(03)00153-6 · Cited by 208
Susceptibility to Illusions and Performance on Visuospatial Tasks in Individuals with Autism
Ropar, D., & Mitchell, P. (2001) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00748 · Cited by 205
The study of animal metacognition
Smith, J. D. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.06.009 · Cited by 203
Legare, C. H. (2011) · Child Development · doi:10.1111/j.1467-8624.2011.01691.x · Cited by 202
Twenty-Five Lessons from Computational Neuromodulation
Dayan, P. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.027 · Cited by 190
Intact implicit learning in autism spectrum conditions
Brown, J., Aczél, B., Jiménez, L., Kaufman, S. B., & Grant, K. P. (2010) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470210903536910 · Cited by 190
Autistic Disorders and Schizophrenia: Related or Remote? An Anatomical Likelihood Estimation
Cheung, C., Yu, K., Fung, G., Leung, M.-K., Wong, C. H. Y., Li, Q., Sham, P. C., Chua, S. E., & McAlonan, G. M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012233 · Cited by 189
Bayesian Prediction and Evaluation in the Anterior Cingulate Cortex
Ide, J. S., Shenoy, P., Yu, A. J., & Li, C.-S. R. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2201-12.2013 · Cited by 185
Gestalt perception and local–global processing in high-functioning autism
Bölte, S., Holtmann, M., Poustka, F., Scheurich, A., & Schmidt, L. (2007) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-006-0231-x · Cited by 185
Abnormal adaptive face-coding mechanisms in children with autism spectrum disorder
Pellicano, E., Jeffery, L., Burr, D., & Rhodes, G. (2007) · Current Biology · doi:10.1016/j.cub.2007.07.065 · Cited by 184
Brief Report: Circumscribed Attention in Young Children with Autism
Sasson, N. J., Elison, J. T., Turner-Brown, L. M., Dichter, G. S., & Bodfish, J. W. (2011) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-010-1038-3 · Cited by 181
Lepistö, T., Silokallio, S., Wendt, T. N., Alku, P., Näätänen, R., & Kujala, T. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.06.709 · Cited by 178
Haesen, B., Boets, B., & Wagemans, J. P. (2010) · Research in Autism · doi:10.1016/j.rasd.2010.11.006 · Cited by 175
Self-citationRobert, C. R. (1997) · CNS Spectrums · doi:10.1017/s1092852900004934 · Cited by 175
Edelson, S. M., Edelson, M. G., Kerr, D., & Grandin, T. (1999) · American Journal of Occupational Therapy · doi:10.5014/ajot.53.2.145 · Cited by 174
Alternative Bayesian accounts of autistic perception: Comment on Pellicano and Burr
Brock, J. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.10.005 · Cited by 173
Booth, R., Charlton, R., Hughes, C., & Happé, F. (2003) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1204 · Cited by 173
Spengler, S., Bird, G., & Brass, M. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.09.017 · Cited by 170
Audiovisual processing in children with and without autism spectrum disorders
Mongillo, E. A., Irwin, J. R., Whalen, D. H., Klaiman, C., Carter, A. S., & Schultz, R. T. (2008) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-007-0521-y · Cited by 170
(1993) · Medical Entomology and Zoology · Cited by 168
Auditory event-related brain potentials in autistic children and three different control groups
Kemner, C., Verbaten, M. N., Cuperus, J. M., Camfferman, G., & van Engeland, H. (1995) · Biological Psychiatry · doi:10.1016/0006-3223(94)00247-z · Cited by 167
Flagged first, then by citations
Research works printed but not linked: 3
- [22]22. Bauman, M. L., & Kemper, T. L. (1994). Neuroanatomic observations of the brain in autism. In M. L. Bauman & T. L. Kemper (Eds.), The neurobiology of autism (pp. 119 -145). Baltimore, MD: Johns Hopkins Press.
- [207]207. Pellicano, E., Gibson, L., Maybery, M., Durkin, K., & Badcock, D. (2005). disorder. Current Biology, 17, 1508 -1512. doi:10.1016/j.cub.2007.07 .065 · DOI
- [265]265. Valentine, T. (1991). A unified account of the effects of distinctiveness, inversion, and race. Quarterly Journal of Experimental Psychology: Human Experimental Psychology, 43(A), 161-204.
Cited by
Sorted by citations
REBUS and the anarchic brain: Toward a unified model of the brain action of psychedelics
Carhart-Harris, R. L., & Friston, K. J. (2019) · Pharmacological Reviews · doi:10.1124/pr.118.017160 · Cited by 1,180
How Do Expectations Shape Perception?
de Lange, F. P., Heilbron, M., & Kok, P. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.06.002 · Cited by 975
The dysconnection hypothesis (2016)
Friston, K., Brown, H. R., Siemerkus, J., & Stephan, K. E. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.07.014 · Cited by 561
Adults with autism overestimate the volatility of the sensory environment
Lawson, R. P., Mathys, C., & Rees, G. (2017) · Nature Neuroscience · doi:10.1038/nn.4615 · Cited by 470
“This model was significant overall (F(3,48)=5.”
Is functional brain connectivity atypical in autism? A systematic review of EEG and MEG studies
O’Reilly, C., Lewis, J. D., & Elsabbagh, M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175870 · Cited by 415
Metadata
- Authors
- Van de Cruys, S., Evers, K., Van der Hallen, R., Van Eylen, L., Boets, B., de-Wit, L., & Wagemans, J.
- Affiliations
- KU Leuven (BE)
- Venue
- Psychological Review
- Published
- 2014
- Volume
- 121
- Issue
- 4
- Pages
- 649-675
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2098533845
- Semantic Scholar
- 60c6614872c60b9708488f47521c1c59eda1b9ff
- Cited by
- 885
- References
- 297
- Citations by year
- 2026: 102 · 2025: 81 · 2024: 80 · 2023: 109 · 2022: 85 · 2021: 106 · 2020: 74 · 2019: 76 · 2018: 53 · 2017: 51 · 2016: 35 · 2015: 30 · 2014: 3
- FWCI
- 22.13
- Type
- journal article
- Language
- en
- Open access
- green
- lirias.kuleuven.be
- Licence
- other-oa
- Locations
- Psychological Review (publishedVersion)
- PubMed (publishedVersion)
- Lirias (submittedVersion, other-oa)
- Funders
- Flemish Government (METH/08/02)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Keywords
- autism spectrum disorder, predictive coding, prediction error, executive function, theory of mind, central coherence, meta-learning, error tolerance, sameness, stereotypy, social cognition
- MeSH terms
- Autism Spectrum Disorder, Humans, Mental Processes
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
