TY  - GEN
A1  - Köster, Moritz
A1  - Kayhan, Ezgi
A1  - Langeloh, Miriam
A1  - Hoehl, Stefanie
T1  - Making sense of the world
BT  - Infant learning from a predictive processing perspective
T2  - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe
N2  - 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.
T3  - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 864 
KW  - cognition
KW  - infant development
KW  - neuroscience
KW  - perception
KW  - social cognition
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-513717
SN  - 1866-8364
IS  - 3
ER  - 
TY  - JOUR
A1  - Köster, Moritz
A1  - Kayhan, Ezgi
A1  - Langeloh, Miriam
A1  - Hoehl, Stefanie
T1  - Making sense of the world
BT  - Infant learning from a predictive processing perspective
JF  - Perspectives on Psychological Science
N2  - 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.
KW  - cognition
KW  - infant development
KW  - neuroscience
KW  - perception
KW  - social cognition
Y1  - 2020
U6  - https://doi.org/10.1177/1745691619895071
SN  - 1745-6916
SN  - 1745-6924
VL  - 15
IS  - 3
SP  - 562
EP  - 571
PB  - Sage
CY  - London
ER  -