What evidence is there that facial coding is inaccurate?
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Evidence suggests that facial coding can be inaccurate, especially when comparing expressions of untrained participants to standardized inventories . Additionally, studies have shown that the N170 and N300 components in neural activity, which index prediction errors, are influenced by the attentional status of emotional faces, indicating differences in prediction error processes . Despite the decoupled coding for faces in the primate inferotemporal cortex being efficient, there are still challenges in accurately processing facial stimuli, particularly when dealing with variants of training set images that differ in facial expressions . However, ensemble coding for face learning appears to be consistent across different categories of faces, suggesting that this early stage of face learning may not be significantly influenced by face-specific experience .
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8 Citations | Not addressed in the paper. |
| Facial coding inaccuracies are evident in untrained participants' expressions, with more frequent misclassifications and lower Action Unit intensities compared to standardized inventories, highlighting limitations in accuracy. | |
| Not addressed in the paper. | |
22 Aug 2022 | Not addressed in the paper. |
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