Literature DB >> 14680772

No troubles with bubbles: a reply to Murray and Gold.

Frédéric Gosselin1, Philippe G Schyns.   

Abstract

Murray and Gold discuss two "shortcomings" of the Bubbles method [Vision Research 41 (2001) 2261]. The first one is theoretical: Bubbles would not fully characterize the LAM (Linear Amplifier Model) observer, whereas reverse correlation would. The second "shortcoming" is practical: the apertures that partly reveal information in a typical Bubbles experiment would induce atypical strategies in human observers, whereas the additive Gaussian white noise used by Murray and Gold (and others) in conjunction with reverse correlation would not. Here, we show that these claims are unfounded.

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Year:  2004        PMID: 14680772     DOI: 10.1016/j.visres.2003.10.007

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  10 in total

1.  Measuring decision weights in recognition experiments with multiple response alternatives: comparing the correlation and multinomial-logistic-regression methods.

Authors:  Huanping Dai; Christophe Micheyl
Journal:  J Acoust Soc Am       Date:  2012-11       Impact factor: 1.840

2.  Influence of low-level stimulus features, task dependent factors, and spatial biases on overt visual attention.

Authors:  Sepp Kollmorgen; Nora Nortmann; Sylvia Schröder; Peter König
Journal:  PLoS Comput Biol       Date:  2010-05-20       Impact factor: 4.475

3.  Linear Integration of Sensory Evidence over Space and Time Underlies Face Categorization.

Authors:  Gouki Okazawa; Long Sha; Roozbeh Kiani
Journal:  J Neurosci       Date:  2021-07-29       Impact factor: 6.167

4.  Abnormal use of facial information in high-functioning autism.

Authors:  Michael L Spezio; Ralph Adolphs; Robert S E Hurley; Joseph Piven
Journal:  J Autism Dev Disord       Date:  2007-05

5.  Linear and non-linear properties of feature selectivity in V4 neurons.

Authors:  Jon Touryan; James A Mazer
Journal:  Front Syst Neurosci       Date:  2015-05-27

6.  The dual nature of the human face: there is a little Jekyll and a little Hyde in all of us.

Authors:  Karolann Robinson; Caroline Blais; Justin Duncan; Hélène Forget; Daniel Fiset
Journal:  Front Psychol       Date:  2014-03-06

7.  Categorizing Two Taiwanese Major Political Parties From Their Faces: The Influence of Provincial Appearance.

Authors:  Chien-Kai Chang; Mary Wen-Reng Ho; Sarina Hui-Lin Chien
Journal:  Front Psychol       Date:  2018-03-21

8.  Task-specific codes for face recognition: how they shape the neural representation of features for detection and individuation.

Authors:  Adrian Nestor; Jean M Vettel; Michael J Tarr
Journal:  PLoS One       Date:  2008-12-29       Impact factor: 3.240

9.  Reading between eye saccades.

Authors:  Caroline Blais; Daniel Fiset; Martin Arguin; Pierre Jolicoeur; Daniel Bub; Frédéric Gosselin
Journal:  PLoS One       Date:  2009-07-30       Impact factor: 3.240

10.  Taiwanese Political Parties can be Categorized by Face, by Those Who Reported Making Face-To-Trait Inferences.

Authors:  Shun-Fu Hu; Chien-Kai Chang; Yu-Chen Chen; Sarina Hui-Lin Chien
Journal:  Front Psychol       Date:  2016-01-11
  10 in total

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