@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{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}
}
@article{HeffnerFuhrmeisterLuthraetal.2022,
  author    = {Heffner, Christopher C. and Fuhrmeister, Pamela and Luthra, Sahil and Mechtenberg, Hannah and Saltzman, David and Myers, Emily B.},
  title     = {Reliability and validity for perceptual flexibility in speech},
  series = {Brain and language : a journal of clinical, experimental and theoretical research},
  volume    = {226},
  journal   = {Brain and language : a journal of clinical, experimental and theoretical research},
  publisher = {Elsevier},
  address   = {Amsterdam [u.a.]},
  issn      = {0093-934X},
  doi       = {10.1016/j.bandl.2021.105070},
  pages     = {11},
  year      = {2022},
  abstract  = {The study of perceptual flexibility in speech depends on a variety of tasks that feature a large degree of variability between participants. Of critical interest is whether measures are consistent within an individual or across stimulus contexts. This is particularly key for individual difference designs that are deployed to examine the neural basis or clinical consequences of perceptual flexibility. In the present set of experiments, we assess the split-half reliability and construct validity of five measures of perceptual flexibility: three of learning in a native language context (e.g., understanding someone with a foreign accent) and two of learning in a non-native context (e.g., learning to categorize non-native speech sounds). We find that most of these tasks show an appreciable level of split-half reliability, although construct validity was sometimes weak. This provides good evidence for reliability for these tasks, while highlighting possible upper limits on expected effect sizes involving each measure.},
  language  = {en}
}