Making Sense of the World: Infant Learning From a Predictive Processing Perspective

Autor(en)
Moritz Köster, Ezgi Kayhan, Miriam Langeloh, Stefanie Hoehl
Abstrakt

For human infants, the first years after birth are a period of intense exploration-getting to understand their own competencies in interaction with a complex physical and social environment. In contemporary neuroscience, the predictive-processing framework has been proposed as a general working principle of the human brain, the optimization of predictions about the consequences of one's own actions, and sensory inputs from the environment. However, the predictive-processing framework has rarely been applied to infancy research. We argue that a predictive-processing framework may provide a unifying perspective on several phenomena of infant development and learning that may seem unrelated at first sight. These phenomena include statistical learning principles, infants' motor and proprioceptive learning, and infants' basic understanding of their physical and social environment. We discuss how a predictive-processing perspective can advance the understanding of infants' early learning processes in theory, research, and application.

Organisation(en)
Institut für Psychologie der Entwicklung und Bildung
Externe Organisation(en)
Freie Universität Berlin (FU), Max-Planck-Institut für Kognitions- und Neurowissenschaften, Universität Heidelberg, Kyoto University, Universität Potsdam
Journal
Perspectives on Psychological Science
Band
15
Seiten
562-571
Anzahl der Seiten
10
ISSN
1745-6916
DOI
https://doi.org/10.1177/1745691619895071
Publikationsdatum
05-2020
Peer-reviewed
Ja
ÖFOS 2012
501005 Entwicklungspsychologie
Schlagwörter
ASJC Scopus Sachgebiete
Psychology(all)
Link zum Portal
https://ucrisportal.univie.ac.at/de/publications/making-sense-of-the-world-infant-learning-from-a-predictive-processing-perspective(fb22f799-aff0-44df-8c9f-42e003881e9b).html