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