Literature DB >> 24184103

Decoding the yellow of a gray banana.

Michael M Bannert1, Andreas Bartels2.   

Abstract

Some everyday objects are associated with a particular color, such as bananas, which are typically yellow. Behavioral studies show that perception of these so-called color-diagnostic objects is influenced by our knowledge of their typical color, referred to as memory color. However, neural representations of memory colors are unknown. Here we investigated whether memory color can be decoded from visual cortex activity when color-diagnostic objects are viewed as grayscale images. We trained linear classifiers to distinguish patterns of fMRI responses to four different hues. We found that activity in V1 allowed predicting the memory color of color-diagnostic objects presented in grayscale in naive participants performing a motion task. The results imply that higher areas feed back memory-color signals to V1. When classifiers were trained on neural responses to some exemplars of color-diagnostic objects and tested on others, areas V4 and LOC also predicted memory colors. Representational similarity analysis showed that memory-color representations in V1 were correlated specifically with patterns in V4 but not LOC. Our findings suggest that prior knowledge is projected from midlevel visual regions onto primary visual cortex, consistent with predictive coding theory.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 24184103     DOI: 10.1016/j.cub.2013.09.016

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  27 in total

1.  The Face-Race Lightness Illusion Is Not Driven by Low-level Stimulus Properties: An Empirical Reply to Firestone and Scholl (2014).

Authors:  Lewis J Baker; Daniel T Levin
Journal:  Psychon Bull Rev       Date:  2016-12

2.  Human V4 Activity Patterns Predict Behavioral Performance in Imagery of Object Color.

Authors:  Michael M Bannert; Andreas Bartels
Journal:  J Neurosci       Date:  2018-03-08       Impact factor: 6.167

3.  Stochastic resonance model of synaesthesia.

Authors:  Poortata Lalwani; David Brang
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-10-21       Impact factor: 6.237

4.  Screen size matches of familiar images are biased by canonical size, rather than showing a memory size effect.

Authors:  Matteo Valsecchi
Journal:  Psychol Res       Date:  2019-09-17

5.  The Influence of Object-Color Knowledge on Emerging Object Representations in the Brain.

Authors:  Lina Teichmann; Genevieve L Quek; Amanda K Robinson; Tijl Grootswagers; Thomas A Carlson; Anina N Rich
Journal:  J Neurosci       Date:  2020-07-23       Impact factor: 6.167

6.  Neural activity in human visual cortex is transformed by learning real world size.

Authors:  Marc N Coutanche; Sharon L Thompson-Schill
Journal:  Neuroimage       Date:  2018-11-23       Impact factor: 6.556

7.  Gaining knowledge mediates changes in perception (without differences in attention): A case for perceptual learning.

Authors:  Lauren L Emberson
Journal:  Behav Brain Sci       Date:  2016-01       Impact factor: 12.579

Review 8.  Object shape and surface properties are jointly encoded in mid-level ventral visual cortex.

Authors:  Anitha Pasupathy; Taekjun Kim; Dina V Popovkina
Journal:  Curr Opin Neurobiol       Date:  2019-10-04       Impact factor: 6.627

Review 9.  The human imagination: the cognitive neuroscience of visual mental imagery.

Authors:  Joel Pearson
Journal:  Nat Rev Neurosci       Date:  2019-10       Impact factor: 34.870

10.  Neural dynamics of semantic categorization in semantic variant of primary progressive aphasia.

Authors:  V Borghesani; C L Dale; S Lukic; Lbn Hinkley; M Lauricella; W Shwe; D Mizuiri; S Honma; Z Miller; B Miller; J F Houde; M L Gorno-Tempini; S S Nagarajan
Journal:  Elife       Date:  2021-06-22       Impact factor: 8.140

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