Abstract
Recognizing a stimulus as familiar is an important capacity in our everyday life. Recent investigation of visual processes has led to important insights into the nature of the neural representations of familiarity for human faces. Still, little is known about how familiarity affects the neural dynamics of non-face stimulus processing. Here we report the results of an EEG study, examining the representational dynamics of personally familiar scenes. Participants viewed highly variable images of their own apartments and unfamiliar ones, as well as personally familiar and unfamiliar faces. Multivariate pattern analyses were used to examine the time course of differential processing of familiar and unfamiliar stimuli. Time-resolved classification revealed that familiarity is decodable from the EEG data similarly for scenes and faces. The temporal dynamics showed delayed onsets and peaks for scenes as compared to faces. Familiarity information, starting at 200 ms, generalized across stimulus categories and led to a robust familiarity effect. In addition, familiarity enhanced category representations in early (250 – 300 ms) and later (>400 ms) processing stages. Our results extend previous face familiarity results to another stimulus category and suggest that familiarity as a construct can be understood as a general, stimulus-independent processing step during recognition.
Highlights
Whether a face or scene is familiar can be decoded from the EEG signal with very similar temporal dynamics, starting at 200 ms and peaking around 400 ms after stimulus onset.
The neural dynamics of this familiarity information generalizes across stimulus categories.
Familiarity modulates stimulus category representations from 200 ms after stimulus onset, indicating deeper processing of familiar as compared to unfamiliar stimuli already during early processing stages.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
HK: Institute of Neurology, Universitätsklinikum Jena, D-07747 Jena, Germany. email: Hannah.klink{at}med.uni-jena.de
DK: Mathematical Institute, Justus-Liebig-University Gießen, D-35392 Gießen, Germany. email: daniel.kaiser{at}math.uni-giessen.de
RS:Mathematical Institute, Justus-Liebig-University Gießen, D-35392 Gießen, Germany. email: Rico.Stecher{at}math.uni-giessen.de
GK: Institute of Psychology, Friedrich Schiller University Jena, D-07743 Jena, Germany. email: gyula.kovacs{at}uni-jena.de
GGA: Department of Psychology, Bournemouth University, Poole House, Talbot Campus, Fern Barrow, Poole, Dorset, BH12 5BB, United Kingdom. email: g.ambrus{at}gmail.com
