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Mean emotion from multiple facial expressions can be extracted with limited attention : evidence from visual ERPs

Luyan Ji (UGent) , Valentina Rossi (UGent) and Gilles Pourtois (UGent)
(2018) NEUROPSYCHOLOGIA . 111. p.92-102
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EVENT-RELATED POTENTIALS, SHORT-TERM-MEMORY, WORKING-MEMORY, INDIVIDUAL-DIFFERENCES, ENSEMBLE STATISTICS, NEURAL MEASURES, N2PC COMPONENT, REPRESENTATION, INFORMATION, PERCEPTION

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Citation

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

Chicago
Ji, Luyan, Valentina Rossi, and Gilles Pourtois. 2018. “Mean Emotion from Multiple Facial Expressions Can Be Extracted with Limited Attention : Evidence from Visual ERPs.” Neuropsychologia  111: 92–102.
APA
Ji, L., Rossi, V., & Pourtois, G. (2018). Mean emotion from multiple facial expressions can be extracted with limited attention : evidence from visual ERPs. NEUROPSYCHOLOGIA  , 111, 92–102.
Vancouver
1.
Ji L, Rossi V, Pourtois G. Mean emotion from multiple facial expressions can be extracted with limited attention : evidence from visual ERPs. NEUROPSYCHOLOGIA  . Elsevier BV; 2018;111:92–102.
MLA
Ji, Luyan, Valentina Rossi, and Gilles Pourtois. “Mean Emotion from Multiple Facial Expressions Can Be Extracted with Limited Attention : Evidence from Visual ERPs.” NEUROPSYCHOLOGIA  111 (2018): 92–102. Print.
@article{8547660,
  author       = {Ji, Luyan and Rossi, Valentina and Pourtois, Gilles},
  issn         = {0028-3932},
  journal      = {NEUROPSYCHOLOGIA                                                },
  language     = {eng},
  pages        = {92--102},
  publisher    = {Elsevier BV},
  title        = {Mean emotion from multiple facial expressions can be extracted with limited attention : evidence from visual ERPs},
  url          = {http://dx.doi.org/10.1016/j.neuropsychologia.2018.01.022},
  volume       = {111},
  year         = {2018},
}

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