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      High internal noise and poor external noise filtering characterize perception in autism spectrum disorder

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          Abstract

          An emerging hypothesis postulates that internal noise is a key factor influencing perceptual abilities in autism spectrum disorder (ASD). Given fundamental and inescapable effects of noise on nearly all aspects of neural processing, this could be a critical abnormality with broad implications for perception, behavior, and cognition. However, this proposal has been challenged by both theoretical and empirical studies. A crucial question is whether and how internal noise limits perception in ASD, independently from other sources of perceptual inefficiency, such as the ability to filter out external noise. Here, we separately estimated internal noise and external noise filtering in ASD. In children and adolescents with and without ASD, we computationally modeled individuals’ visual orientation discrimination in the presence of varying levels of external noise. The results revealed increased internal noise and worse external noise filtering in individuals with ASD. For both factors, we also observed high inter-individual variability in ASD, with only the internal noise estimates significantly correlating with severity of ASD symptoms. We provide evidence for reduced perceptual efficiency in ASD that is due to both increased internal noise and worse external noise filtering, while highlighting internal noise as a possible contributing factor to variability in ASD symptoms.

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          The Psychophysics Toolbox

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            Noise in the nervous system.

            Noise--random disturbances of signals--poses a fundamental problem for information processing and affects all aspects of nervous-system function. However, the nature, amount and impact of noise in the nervous system have only recently been addressed in a quantitative manner. Experimental and computational methods have shown that multiple noise sources contribute to cellular and behavioural trial-to-trial variability. We review the sources of noise in the nervous system, from the molecular to the behavioural level, and show how noise contributes to trial-to-trial variability. We highlight how noise affects neuronal networks and the principles the nervous system applies to counter detrimental effects of noise, and briefly discuss noise's potential benefits.
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              Bayesian t tests for accepting and rejecting the null hypothesis.

              Progress in science often comes from discovering invariances in relationships among variables; these invariances often correspond to null hypotheses. As is commonly known, it is not possible to state evidence for the null hypothesis in conventional significance testing. Here we highlight a Bayes factor alternative to the conventional t test that will allow researchers to express preference for either the null hypothesis or the alternative. The Bayes factor has a natural and straightforward interpretation, is based on reasonable assumptions, and has better properties than other methods of inference that have been advocated in the psychological literature. To facilitate use of the Bayes factor, we provide an easy-to-use, Web-based program that performs the necessary calculations.
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                Author and article information

                Contributors
                woonju.park@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                14 December 2017
                14 December 2017
                2017
                : 7
                : 17584
                Affiliations
                [1 ]ISNI 0000 0004 1936 9174, GRID grid.16416.34, Department of Brain and Cognitive Sciences, , University of Rochester, ; Rochester, NY 14627 USA
                [2 ]ISNI 0000 0004 1936 9174, GRID grid.16416.34, Center for Visual Science, , University of Rochester, ; Rochester, NY 14627 USA
                [3 ]ISNI 0000 0004 1936 9174, GRID grid.16416.34, Department of Clinical and Social Sciences in Psychology, , University of Rochester, ; Rochester, NY 14627 USA
                [4 ]ISNI 0000000419368657, GRID grid.17635.36, Center for Magnetic Resonance Research, Department of Radiology, , University of Minnesota at Twin Cities, ; Minneapolis, MN 55455 USA
                [5 ]ISNI 0000 0004 1936 9166, GRID grid.412750.5, Department of Ophthalmology, , University of Rochester School of Medicine, ; Rochester, NY 14642 USA
                Article
                17676
                10.1038/s41598-017-17676-5
                5730555
                29242499
                e53b7b88-21c6-4469-8f19-af0a77a28d24
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 July 2017
                : 28 November 2017
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