Literature DB >> 32187178

Contrast versus identity encoding in the face image follow distinct orientation selectivity profiles.

Christianne Jacobs1, Kirsten Petras1,2, Pieter Moors1,3, Valerie Goffaux1,2,3,4.   

Abstract

Orientation selectivity is a fundamental property of primary visual encoding. High-level processing stages also show some form of orientation dependence, with face identification preferentially relying on horizontally-oriented information. How high-level orientation tuning emerges from primary orientation biases is unclear. In the same group of participants, we derived the orientation selectivity profile at primary and high-level visual processing stages using a contrast detection and an identity matching task. To capture the orientation selectivity profile, we calculated the difference in performance between all tested orientations (0, 45, 90, and 135°) for each task and for upright and inverted faces, separately. Primary orientation selectivity was characterized by higher sensitivity to oblique as compared to cardinal orientations. The orientation profile of face identification showed superior horizontal sensitivity to face identity. In each task, performance with upright and inverted faces projected onto qualitatively similar a priori models of orientation selectivity. Yet the fact that the orientation selectivity profiles of contrast detection in upright and inverted faces correlated significantly while such correlation was absent for identification indicates a progressive dissociation of orientation selectivity profiles from primary to high-level stages of orientation encoding. Bayesian analyses further indicate a lack of correlation between the orientation selectivity profiles in the contrast detection and face identification tasks, for upright and inverted faces. From these findings, we conclude that orientation selectivity shows distinct profiles at primary and high-level stages of face processing and that a transformation must occur from general cardinal attenuation when processing basic properties of the face image to horizontal tuning when encoding more complex properties such as identity.

Entities:  

Year:  2020        PMID: 32187178      PMCID: PMC7080280          DOI: 10.1371/journal.pone.0229185

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  59 in total

1.  Oblique stimuli are seen best (not worst!) in naturalistic broad-band stimuli: a horizontal effect.

Authors:  Edward A Essock; J Kevin DeFord; Bruce C Hansen; Michael J Sinai
Journal:  Vision Res       Date:  2003-06       Impact factor: 1.886

2.  Perceptual anisotropies in visual processing and their relation to natural image statistics.

Authors:  Bruce C Hansen; Edward A Essock; Yufeng Zheng; J Kevin DeFord
Journal:  Network       Date:  2003-08       Impact factor: 1.273

Review 3.  Do we know what the early visual system does?

Authors:  Matteo Carandini; Jonathan B Demb; Valerio Mante; David J Tolhurst; Yang Dan; Bruno A Olshausen; Jack L Gallant; Nicole C Rust
Journal:  J Neurosci       Date:  2005-11-16       Impact factor: 6.167

4.  The horizontal effect in suppression: Anisotropic overlay and surround suppression at high and low speeds.

Authors:  Yeon Jin Kim; Andrew M Haun; Edward A Essock
Journal:  Vision Res       Date:  2010-02-01       Impact factor: 1.886

5.  Visual detection of line segments: an object-superiority effect.

Authors:  N Weisstein; C S Harris
Journal:  Science       Date:  1974-11-22       Impact factor: 47.728

6.  Human orientation discrimination tested with long stimuli.

Authors:  G A Orban; E Vandenbussche; R Vogels
Journal:  Vision Res       Date:  1984       Impact factor: 1.886

7.  Human visual ecology and orientation anisotropies in acuity.

Authors:  R C Annis; B Frost
Journal:  Science       Date:  1973-11-16       Impact factor: 47.728

8.  Object segmentation controls image reconstruction from natural scenes.

Authors:  Peter Neri
Journal:  PLoS Biol       Date:  2017-08-21       Impact factor: 8.029

9.  "I look in your eyes, honey": internal face features induce spatial frequency preference for human face processing.

Authors:  Matthias S Keil
Journal:  PLoS Comput Biol       Date:  2009-03-27       Impact factor: 4.475

10.  Representational similarity analysis - connecting the branches of systems neuroscience.

Authors:  Nikolaus Kriegeskorte; Marieke Mur; Peter Bandettini
Journal:  Front Syst Neurosci       Date:  2008-11-24
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