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Literature DB >> 17803921

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

Jason Haberman¹, David Whitney.

Abstract

Mesh：

Year: 2007 PMID： 17803921 PMCID： PMC3849410 DOI： 10.1016/j.cub.2007.06.039

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

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Authors: F A Wichmann; N J Hill
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2. Unsupervised statistical learning of higher-order spatial structures from visual scenes.

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

Authors: L Parkes; J Lund; A Angelucci; J A Solomon; M Morgan
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4. Seeing the forest but not the trees.

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5. Seeing sets: representation by statistical properties.

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6. Representation of statistical properties.

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Review 7. What is "special" about face perception?

Authors: M J Farah; K D Wilson; M Drain; J N Tanaka
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8. On the genesis of abstract ideas.

Authors: M I Posner; S W Keele
Journal: J Exp Psychol Date: 1968-07

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

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3. Foveal input is not required for perception of crowd facial expression.

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4. Differential neurodynamics and connectivity in the dorsal and ventral visual pathways during perception of emotional crowds and individuals: a MEG study.

Authors: Hee Yeon Im; Cody A Cushing; Noreen Ward; Kestutis Kveraga
Journal: Cogn Affect Behav Neurosci Date: 2021-03-16 Impact factor: 3.282

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

1. The psychometric function: I. Fitting, sampling, and goodness of fit.

2. Unsupervised statistical learning of higher-order spatial structures from visual scenes.

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

4. Seeing the forest but not the trees.

5. Seeing sets: representation by statistical properties.

6. Representation of statistical properties.

Review 7. What is "special" about face perception?

8. On the genesis of abstract ideas.

1. Neural correlates of after-effects caused by adaptation to multiple face displays.

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

3. Foveal input is not required for perception of crowd facial expression.

4. Differential neurodynamics and connectivity in the dorsal and ventral visual pathways during perception of emotional crowds and individuals: a MEG study.

5. Spatial ensemble statistics are efficient codes that can be represented with reduced attention.

6. Redundancy gains in retinotopic cortex.

7. Vision: seeing through the gaps in the crowd.

8. Object-level visual information gets through the bottleneck of crowding.

9. Error-driven learning in statistical summary perception.

10. Averaging facial expression over time.