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Serial effects are optimal

Published online by Cambridge University Press:  10 January 2019

Guido Marco Cicchini
Affiliation:
CNR Institute of Neuroscience, Pisa, 56124, Italy. cicchini@in.cnr.itwww.pisavisionlab.org/cicchini
David C. Burr
Affiliation:
Department of Neuroscience, Psychology, Pharmacology and Child Health, University of Florence, 50139, Italy. dave@in.cnr.itwww.pisavisionlab.org/burr

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
Copyright
Copyright © Cambridge University Press 2018 

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