@misc{KoesterKayhanLangelohetal.2020, author = {K{\"o}ster, Moritz and Kayhan, Ezgi and Langeloh, Miriam and Hoehl, Stefanie}, title = {Making sense of the world}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, number = {3}, issn = {1866-8364}, doi = {10.25932/publishup-51371}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-513717}, pages = {12}, year = {2020}, abstract = {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.}, language = {en} } @article{OeserStroncikMoskwaetal.2018, author = {Oeser, Ralf Andreas and Stroncik, Nicole and Moskwa, Lisa-Marie and Bernhard, Nadine and Schaller, Mirjam and Canessa, Rafaella and van den Brink, Liesbeth and K{\"o}ster, Moritz and Brucker, Emanuel and Stock, Svenja and Pablo Fuentes, Juan and Godoy, Roberto and Javier Matus, Francisco and Oses Pedraza, Romulo and Osses McIntyre, Pablo and Paulino, Leandro and Seguel, Oscar and Bader, Maaike Y. and Boy, Jens and Dippold, Michaela A. and Ehlers, Todd and K{\"u}hn, Peter and Kuzyakov, Yakov and Leinweber, Peter and Scholten, Thomas and Spielvogel, Sandra and Spohn, Marie and Ubernickel, Kirstin and Tielb{\"o}rger, Katja and Wagner, Dirk and von Blanckenburg, Friedhelm}, title = {Chemistry and microbiology of the Critical Zone along a steep climate and vegetation gradient in the Chilean Coastal Cordillera}, series = {Catena : an interdisciplinary journal of soil science, hydrology, geomorphology focusing on geoecology and landscape evolution}, volume = {170}, journal = {Catena : an interdisciplinary journal of soil science, hydrology, geomorphology focusing on geoecology and landscape evolution}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0341-8162}, doi = {10.1016/j.catena.2018.06.002}, pages = {183 -- 203}, year = {2018}, abstract = {From north to south, denudation rates from cosmogenic nuclides are similar to 10 t km(-2) yr(-1) at the arid Pan de Aziicar site, similar to 20 t km(2) yr(-1) at the semi-arid site of Santa Gracia, -60 t km(-2) yr(-1) at the Mediterranean climate site of La Campana, and similar to 30 t km(-2) yr(-1) at the humid site of Nahuelbuta. A and B horizons increase in thickness and elemental depletion or enrichment increases from north (similar to 26 degrees S) to south (similar to 38 degrees S) in these horizons. Differences in the degree of chemical weathering, quantified by the chemical depletion fraction (CDF), are significant only between the arid and sparsely vegetated site and the other three sites. Differences in the CDF between the sites, and elemental depletion within the sites are sometimes smaller than the variations induced by the bedrock heterogeneity. Microbial abundances (bacteria and archaea) in saprolite substantially increase from the arid to the semi-arid sites. With this study, we provide a comprehensive dataset characterizing the Critical Zone geochemistry in the Chilean Coastal Cordillera. This dataset confirms climatic controls on weathering and denudation rates and provides prerequisites to quantify the role of biota in future studies.}, language = {en} } @article{KoesterKayhanLangelohetal.2020, author = {K{\"o}ster, Moritz and Kayhan, Ezgi and Langeloh, Miriam and Hoehl, Stefanie}, title = {Making sense of the world}, series = {Perspectives on Psychological Science}, volume = {15}, journal = {Perspectives on Psychological Science}, number = {3}, publisher = {Sage}, address = {London}, issn = {1745-6916}, doi = {10.1177/1745691619895071}, pages = {562 -- 571}, year = {2020}, abstract = {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.}, language = {en} }