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Capacity limitations to extract the mean emotion from multiple facial expressions depend on emotion variance

Luyan Ji (UGent) and Gilles Pourtois (UGent)
(2018) VISION RESEARCH . 145. p.39-48
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Keywords
Ensemble representation, Facial expressions, Processing capacity limitations, Set size, Amplifying effect, Sampling

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Citation

Please use this url to cite or link to this publication:

Chicago
Ji, Luyan, and Gilles Pourtois. 2018. “Capacity Limitations to Extract the Mean Emotion from Multiple Facial Expressions Depend on Emotion Variance.” Vision Research 145: 39–48.
APA
Ji, L., & Pourtois, G. (2018). Capacity limitations to extract the mean emotion from multiple facial expressions depend on emotion variance. VISION RESEARCH , 145, 39–48.
Vancouver
1.
Ji L, Pourtois G. Capacity limitations to extract the mean emotion from multiple facial expressions depend on emotion variance. VISION RESEARCH . 2018;145:39–48.
MLA
Ji, Luyan, and Gilles Pourtois. “Capacity Limitations to Extract the Mean Emotion from Multiple Facial Expressions Depend on Emotion Variance.” VISION RESEARCH 145 (2018): 39–48. Print.
@article{8558571,
  author       = {Ji, Luyan and Pourtois, Gilles},
  issn         = {0042-6989 },
  journal      = {VISION RESEARCH },
  keyword      = {Ensemble representation,Facial expressions,Processing capacity limitations,Set size,Amplifying effect,Sampling},
  language     = {eng},
  pages        = {39--48},
  title        = {Capacity limitations to extract the mean emotion from multiple facial expressions depend on emotion variance},
  url          = {http://dx.doi.org/10.1016/j.visres.2018.03.007},
  volume       = {145},
  year         = {2018},
}

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