Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-06T04:02:03.720Z Has data issue: false hasContentIssue false
  • English
  • Français

Serial effects are optimal

Published online by Cambridge University Press:  10 January 2019

Guido Marco Cicchini Open the ORCID record for Guido Marco Cicchini [Opens in a new window]  and
David C. Burr
Guido Marco Cicchini
Affiliation:
CNR Institute of Neuroscience, Pisa, 56124, Italy. [email protected]/cicchini
David C. Burr
Affiliation:
Department of Neuroscience, Psychology, Pharmacology and Child Health, University of Florence, 50139, Italy. [email protected]/burr
Get access Rights & Permissions [Opens in a new window]

Abstract

In the target article, Rahnev & Denison (R&D) use serial effects as an example of suboptimality. We show here that serial effects can be beneficial to perception, serving to reduce both error and response times in a near-optimal fashion. Furthermore, serial effects for stable attributes are positive, whereas those for changeable attributes are negative, demonstrating that they are engaged flexibly to optimize performance.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 41 , 2018 , e229
Copyright
Copyright © Cambridge University Press 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Alais, D. & Burr, D. (2004) The ventriloquist effect results from near-optimal bimodal integration. Current Biology 14(3):257–62. doi:10.1016/j.cub.2004.01.029.Google Scholar
Beierholm, U., Shams, L., Ma, W. J. & Koerding, K. P. (2008) Comparing Bayesian models for multisensory cue combination without mandatory integration. Paper presented at the Advances in Neural Information Processing Systems 20 (NIPS 2007).Google Scholar
Burr, D. & Cicchini, G. M. (2014) Vision: efficient adaptive coding. Current Biology 24(22):R1096–98. doi:10.1016/j.cub.2014.10.002.Google Scholar
Cicchini, G. M., Anobile, G. & Burr, D. C. (2014) Compressive mapping of number to space reflects dynamic encoding mechanisms, not static logarithmic transform. Proceedings of the National Academy of Sciences of the United States of America 111(21):7867–72. doi:10.1073/pnas.1402785111.Google Scholar
Cicchini, G. M., Arrighi, R., Cecchetti, L., Giusti, M. & Burr, D. C. (2012) Optimal encoding of interval timing in expert percussionists. Journal of Neuroscience 32(3):1056–60. doi:10.1523/JNEUROSCI.3411-11.2012.Google Scholar
Cicchini, G. M. & Kristjánsson, Á. (2015) Guest editorial: On the possibility of a unifying framework for serial dependencies. i-Perception 6(6). doi:10.1177/2041669515614148.Google Scholar
Cicchini, G. M., Mikellidou, K. & Burr, D. (2017) Serial dependencies act directly on perception. Journal of Vision 17(14):6. doi:10.1167/17.14.6.Google Scholar
Cicchini, G. M., Mikellidou, K. & Burr, D. C. (2018) The functional role of serial dependencies. Proceedings of the Royal Society B: Biological Sciences 285:20181722. doi:10.1098/rspb.2018.1722.Google Scholar
Ernst, M. O. & Banks, M. S. (2002) Humans integrate visual and haptic information in a statistically optimal fashion. Nature 415(6870):429–33. Available at: http://dx.doi.org/10.1038/415429a.Google Scholar
Fischer, J. & Whitney, D. (2014) Serial dependence in visual perception. Nature Neuroscience 17(5):738–43. Available at: http://dx.doi.org/10.1038/nn.3689.Google Scholar
Frund, I., Wichmann, F. A. & Macke, J. H. (2014) Quantifying the effect of intertrial dependence on perceptual decisions. Journal of Vision 14(7):9. doi:10.1167/14.7.9.Google Scholar
Jazayeri, M. & Shadlen, M. N. (2010) Temporal context calibrates interval timing. Nature Neuroscience 13(8):1020–26. doi:10.1038/nn.2590.Google Scholar
Liberman, A., Fischer, J. & Whitney, D. (2014) Serial dependence in the perception of faces. Current Biology 24(21):2569–74. doi:10.1016/j.cub.2014.09.025.Google Scholar
Roach, N. W., Heron, J. & McGraw, P. V. (2006) Resolving multisensory conflict: A strategy for balancing the costs and benefits of audio-visual integration. Proceedings of the Royal Society B: Biological Sciences 273(1598):2159–68. doi:10.1098/rspb.2006.3578.Google Scholar
Taubert, J., Alais, D. & Burr, D. (2016) Different coding strategies for the perception of stable and changeable facial attributes. Scientific Reports 6:32239. doi:10.1038/srep32239.Google Scholar