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research article

Predictive brain: Addressing the level of representation by reviewing perceptual hysteresis

Trapp, Sabrina
•
Pascucci, David  
•
Chelazzi, Leonardo
August 1, 2021
Cortex

In recent years, the idea that the prediction of sensory input is one of the major computational goals of the nervous system led to the development of several large-scale theories of brain functioning, such as different versions of the Bayesian approach to brain functions, predictive coding theories of cognition and the Free-energy principle. During the years, various empirical phenomena have been re-interpreted within such frames, and have been considered as consequences of predictive processing. Here we focus on perceptual hysteresis, or serial dependence, as an exemplary case. We unravel a potential gap in the predictive frameworks and raise the idea that alternative explanations of this effect can solve this issue, as they address the type of cognitive and neural representations involved. (C) 2021 Elsevier Ltd. All rights reserved.

  • Details
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Type
research article
DOI
10.1016/j.cortex.2021.04.011
Web of Science ID

WOS:000677674900013

Author(s)
Trapp, Sabrina
Pascucci, David  
Chelazzi, Leonardo
Date Issued

2021-08-01

Publisher

ELSEVIER MASSON, CORP OFF

Published in
Cortex
Volume

141

Start page

535

End page

540

Subjects

Behavioral Sciences

•

Neurosciences

•

Psychology, Experimental

•

Neurosciences & Neurology

•

Psychology

•

representation

•

template

•

prior

•

decision

•

bayesian

•

serial dependence

•

repetition probability

•

decision-making

•

working-memory

•

cortex

•

motor

•

anosognosia

•

suppression

•

hemiplegia

•

awareness

•

neurons

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LPSY  
Available on Infoscience
August 14, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/180647
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