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Abstract Visual experience is known to play a critical role in face recognition. This experience is believed to enable the formation of a view-invariant representation, by learning which features are critical for face identification across views. Discovering these critical features and the type of experience that is needed to uncover them is challenging. We have recently revealed a subset of facial features that are critical for human face recognition.
Data preprocessing Computations of pupil diameter, saccadic rate, fixation duration, and saccade amplitude were based on measures extracted from the raw data by the software provided by SMI. The pupil diameter measure was based on the right eye of each participant, other measures were based on both eyes. For each of these measures, we averaged the values of each participant in each session.
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