Literature DB >> 25076834

Feedback-driven tuning of statistical summary representations.

Judith E Fan1, Nicholas B Turk-Browne1, Jordan A Taylor1.   

Abstract

Entities:  

Year:  2013        PMID: 25076834      PMCID: PMC4112121          DOI: 10.1080/13506285.2013.844961

Source DB:  PubMed          Journal:  Vis cogn        ISSN: 1350-6285


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  9 in total

Review 1.  Natural image statistics and neural representation.

Authors:  E P Simoncelli; B A Olshausen
Journal:  Annu Rev Neurosci       Date:  2001       Impact factor: 12.449

2.  Compulsory averaging of crowded orientation signals in human vision.

Authors:  L Parkes; J Lund; A Angelucci; J A Solomon; M Morgan
Journal:  Nat Neurosci       Date:  2001-07       Impact factor: 24.884

3.  Representation of statistical properties.

Authors:  Sang Chul Chong; Anne Treisman
Journal:  Vision Res       Date:  2003-02       Impact factor: 1.886

4.  The danger of trial-by-trial knowledge of results in perceptual averaging studies.

Authors:  Ben Bauer
Journal:  Atten Percept Psychophys       Date:  2009-04       Impact factor: 2.199

5.  The representation of simple ensemble visual features outside the focus of attention.

Authors:  George A Alvarez; Aude Oliva
Journal:  Psychol Sci       Date:  2008-04

6.  Rapid extraction of mean emotion and gender from sets of faces.

Authors:  Jason Haberman; David Whitney
Journal:  Curr Biol       Date:  2007-09-04       Impact factor: 10.834

Review 7.  Representing multiple objects as an ensemble enhances visual cognition.

Authors:  George A Alvarez
Journal:  Trends Cogn Sci       Date:  2011-02-02       Impact factor: 20.229

8.  QUEST: a Bayesian adaptive psychometric method.

Authors:  A B Watson; D G Pelli
Journal:  Percept Psychophys       Date:  1983-02

9.  Better than average: alternatives to statistical summary representations for rapid judgments of average size.

Authors:  Kristoffer Myczek; Daniel J Simons
Journal:  Percept Psychophys       Date:  2008-07
  9 in total
  1 in total

1.  The perceptual processing capacity of summary statistics between and within feature dimensions.

Authors:  Mouna Attarha; Cathleen M Moore
Journal:  J Vis       Date:  2015       Impact factor: 2.240

  1 in total

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