The functional role of serial dependence

Author:

Cicchini Guido Marco1ORCID,Mikellidou Kyriaki23ORCID,Burr David C.145ORCID

Affiliation:

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

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.

Funder

FP7 Ideas: European Research Council

H2020 European Research Council

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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