Literature DB >> 18831622

Faces in the cloud: Fourier power spectrum biases ultrarapid face detection.

Christian Honey1, Holle Kirchner, Rufin VanRullen.   

Abstract

Recent results show that humans can respond with a saccadic eye movement toward faces much faster and with less error than toward other objects. What feature information does your visual cortex need to distinguish between different objects so rapidly? In a first step, we replicated the "fast saccadic bias" toward faces. We simultaneously presented one vehicle and one face image with different contrasts and asked our subjects to saccade as fast as possible to the image with higher contrast. This was considerably easier when the target was the face. In a second step, we scrambled both images to the same extent. For one subject group, we scrambled the orientations of wavelet components (local orientations) while preserving their location. This manipulation completely abolished the face bias for the fastest saccades. For a second group, we scrambled the phases (i.e., the location) of Fourier components while preserving their orientation (i.e., the 2-D amplitude spectrum). Even when no face was visible (100% scrambling), the fastest saccades were still strongly biased toward the scrambled face image! These results suggest that the ability to rapidly saccade to faces in natural scenes depends, at least in part, on low-level information contained in the Fourier 2-D amplitude spectrum.

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Year:  2008        PMID: 18831622     DOI: 10.1167/8.12.9

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  29 in total

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Authors:  Pascal Girard; Roger Koenig-Robert
Journal:  PLoS One       Date:  2011-02-04       Impact factor: 3.240

7.  Role of temporal processing stages by inferior temporal neurons in facial recognition.

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8.  Quantifying the Time Course of Visual Object Processing Using ERPs: It's Time to Up the Game.

Authors:  Guillaume A Rousselet; Cyril R Pernet
Journal:  Front Psychol       Date:  2011-05-23

9.  Distinct spatial scale sensitivities for early categorization of faces and places: neuromagnetic and behavioral findings.

Authors:  Bhuvanesh Awasthi; Paul F Sowman; Jason Friedman; Mark A Williams
Journal:  Front Hum Neurosci       Date:  2013-03-21       Impact factor: 3.169

10.  Spatially pooled contrast responses predict neural and perceptual similarity of naturalistic image categories.

Authors:  Iris I A Groen; Sennay Ghebreab; Victor A F Lamme; H Steven Scholte
Journal:  PLoS Comput Biol       Date:  2012-10-18       Impact factor: 4.475

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