Editing Face perception (section)

===Nemrodov===
In 2016, Dan Nemrodov conducted multivariate analyses of EEG signals that might be involved in identity related information and applied pattern classification to [[event-related potential]] signals both in time and in space. The main target of the study were:

# evaluating whether previously known event-related potential components such as N170 and others are involved in individual face recognition or not
# locating temporal landmarks of individual level recognition from event-related potential signals
# figuring out the spatial profile of individual face recognition

For the experiment, conventional event-related potential analyses and pattern classification of event-related potential signals were conducted given preprocessed EEG signals.<ref>{{Cite journal|date=1 January 2019|title=Multimodal evidence on shape and surface information in individual face processing|url=https://www.sciencedirect.com/science/article/abs/pii/S1053811918319591|journal=NeuroImage|language=en|volume=184|pages=813–825|doi=10.1016/j.neuroimage.2018.09.083|issn=1053-8119|access-date=2 June 2021|archive-date=15 May 2021|archive-url=https://web.archive.org/web/20210515104335/https://www.sciencedirect.com/science/article/abs/pii/S1053811918319591|url-status=live|last1=Nemrodov|first1=Dan|last2=Behrmann|first2=Marlene|last3=Niemeier|first3=Matthias|last4=Drobotenko|first4=Natalia|last5=Nestor|first5=Adrian|pmid=30291975|s2cid=207211751}}</ref>

This and a further study showed the existence of a spatio-temporal profile of individual face recognition process and reconstruction of individual face images was possible by utilizing such profile and informative features that contribute to encoding of identity related information.