10:30 - 12:00
Wed-H4-Talk 8--80
Wed-Talk 8
Room: H4
Chair/s:
Angelika Lingnau, Marius Zimmermann
 Visual category representations in the infant brain revealed using multivariate EEG methods
Wed-H4-Talk 8-8002
Presented by: Siying Xie
Siying Xie 1, Stefanie Hoehl 2, 3, Merle Moeskops 1, Ezgi Kayhan 4, Christian Kliesch 4, Bert Turtleton 1, Moritz Köster 5, Radoslaw Cichy 1, 6, 7, 8
1 Department of Education and Psychology, Freie Universität Berlin; 14195 Berlin, Germany, 2 Max Planck Institute for Human Cognitive and Brain Sciences; 04103 Leipzig, Germany, 3 Max Planck Institute for Human Cognitive and Brain Sciences; 04103 Leipzig, Germany, 4 Department of Developmental Psychology, University of Potsdam; 14469 Potsdam, Germany, 5 Institute of Psychology, University of Regensburg; 93053 Regensburg, Germany, 6 Berlin School of Mind and Brain, Faculty of Philosophy, Humboldt-Universität zu Berlin; 10117 Berlin, Germany, 7 Einstein Center for Neurosciences Berlin, Humboldt-Universität Berlin; 10117 Berlin, Germany, 8 Bernstein Center for Computational Neuroscience Berlin, Humboldt-Universität Berlin; 10115 Berlin, Germany
Visual categorization is a human core cognitive capacity that depends on the development of visual category representations in the infant brain. However, the exact nature of infant visual category representations and their relationship to the corresponding adult form remains unknown. Our results clarify the nature of visual category representations from electroencephalography (EEG) data in 6- to 8-month-old infants and their developmental trajectory toward adult maturity in the key characteristics of temporal dynamics, representational format, and spectral properties. Temporal dynamics change from slowly emerging, developing representations in infants to quickly emerging, complex representations in adults. Despite those differences, infants and adults already partly share visual category representations. The format of infants’ representations is visual features of low to intermediate complexity, whereas adults’ representations also encode high-complexity features. Theta band activity contributes to visual category representations in infants, and these representations are shifted to the alpha/beta band in adults. Together, we reveal the developmental neural basis of visual categorization in humans, show how information transmission channels change in development, and demonstrate the power of advanced multivariate analysis techniques in infant EEG research for theory building in developmental cognitive science.

Keywords: Infant cognition, cognitive development, visual perception, object recognition, spectral characterization, multivariate analysis, deep learning