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      The functional role of serial dependence

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          Abstract

          The world tends to be stable from moment to moment, leading to strong serial correlations in natural scenes. As similar stimuli usually require similar behavioural responses, it is highly likely that the brain has developed strategies to leverage these regularities. A good deal of recent psychophysical evidence is beginning to show that the brain is sensitive to serial correlations, causing strong drifts in observer responses towards previously seen stimuli. However, it is still not clear that this tendency leads to a functional advantage. Here, we test a formal model of optimal serial dependence and show that as predicted, serial dependence in an orientation reproduction task is dependent on current stimulus reliability, with less precise stimuli, such as low spatial frequency oblique Gabors, exhibiting the strongest effects. We also show that serial dependence depends on the similarity between two successive stimuli, again consistent with the behaviour of an ideal observer aiming at minimizing reproduction errors. Lastly, we show that serial dependence leads to faster response times, indicating that the benefits of serial integration go beyond reproduction error. Overall our data show that serial dependence has a beneficial role at various levels of perception, consistent with the idea that the brain exploits the temporal redundancy of the visual scene as an optimization strategy.

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          Most cited references31

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          The ventriloquist effect results from near-optimal bimodal integration.

          Ventriloquism is the ancient art of making one's voice appear to come from elsewhere, an art exploited by the Greek and Roman oracles, and possibly earlier. We regularly experience the effect when watching television and movies, where the voices seem to emanate from the actors' lips rather than from the actual sound source. Originally, ventriloquism was explained by performers projecting sound to their puppets by special techniques, but more recently it is assumed that ventriloquism results from vision "capturing" sound. In this study we investigate spatial localization of audio-visual stimuli. When visual localization is good, vision does indeed dominate and capture sound. However, for severely blurred visual stimuli (that are poorly localized), the reverse holds: sound captures vision. For less blurred stimuli, neither sense dominates and perception follows the mean position. Precision of bimodal localization is usually better than either the visual or the auditory unimodal presentation. All the results are well explained not by one sense capturing the other, but by a simple model of optimal combination of visual and auditory information.
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            Object perception as Bayesian inference.

            We perceive the shapes and material properties of objects quickly and reliably despite the complexity and objective ambiguities of natural images. Typical images are highly complex because they consist of many objects embedded in background clutter. Moreover, the image features of an object are extremely variable and ambiguous owing to the effects of projection, occlusion, background clutter, and illumination. The very success of everyday vision implies neural mechanisms, yet to be understood, that discount irrelevant information and organize ambiguous or noisy local image features into objects and surfaces. Recent work in Bayesian theories of visual perception has shown how complexity may be managed and ambiguity resolved through the task-dependent, probabilistic integration of prior object knowledge with image features.
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              Serial dependence in visual perception

              Visual input often arrives in a noisy and discontinuous stream, owing to head and eye movements, occlusion, lighting changes, and many other factors. Yet the physical world is generally stable—objects and physical characteristics rarely change spontaneously. How then does the human visual system capitalize on continuity in the physical environment over time? Here we show that visual perception is serially dependent, using both prior and present input to inform perception at the present moment. Using an orientation judgment task, we found that even when visual input changes randomly over time, perceived orientation is strongly and systematically biased toward recently seen stimuli. Further, the strength of this bias is modulated by attention and tuned to the spatial and temporal proximity of successive stimuli. These results reveal a serial dependence in perception characterized by a spatiotemporally tuned, orientation-selective operator—which we call a continuity field—that may promote visual stability over time.
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                Author and article information

                Journal
                Proc Biol Sci
                Proc. Biol. Sci
                RSPB
                royprsb
                Proceedings of the Royal Society B: Biological Sciences
                The Royal Society
                0962-8452
                1471-2954
                7 November 2018
                31 October 2018
                31 October 2018
                : 285
                : 1890
                : 20181722
                Affiliations
                [1 ]Institute of Neuroscience, National Research Council (CNR) , Pisa, Italy
                [2 ]Department of Translational Research on New Technologies in Medicine and Surgery, University of Pisa , Pisa, Italy
                [3 ]Department of Psychology, University of Cyprus , Nicosia, Cyprus
                [4 ]Department of Neuroscience, University of Florence , Florence, Italy
                [5 ]School of Psychology, University of Sydney , Sydney, Australia
                Author notes
                Author information
                http://orcid.org/0000-0002-3303-0420
                http://orcid.org/0000-0003-1860-6951
                http://orcid.org/0000-0003-1541-8832
                Article
                rspb20181722
                10.1098/rspb.2018.1722
                6235035
                30381379
                fecf2395-3317-4aaa-972b-64ebe1aa1772
                © 2018 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : 30 July 2018
                : 10 October 2018
                Funding
                Funded by: FP7 Ideas: European Research Council, http://dx.doi.org/10.13039/100011199;
                Award ID: ECSPLAIN no.338866
                Funded by: H2020 European Research Council, http://dx.doi.org/10.13039/100010663;
                Award ID: Peripheality no.797603
                Categories
                1001
                133
                44
                14
                Neuroscience and Cognition
                Research Article
                Custom metadata
                November 7, 2018

                Life sciences
                serial dependence,kalman filter,bayesian,optimal behaviour,orientation
                Life sciences
                serial dependence, kalman filter, bayesian, optimal behaviour, orientation

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