@misc{KayhanWagnerMeyerO’Reillyetal.2019, author = {Kayhan Wagner, Ezgi and Meyer, Marlene and O'Reilly, J.X. and Hunnius, Sabine and Bekkering, Harold}, title = {Nine-month-old infants update their predictive models of a changing environment}, series = {Postprints der Universit{\"a}t Potsdam Humanwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam Humanwissenschaftliche Reihe}, number = {577}, issn = {1866-8364}, doi = {10.25932/publishup-43784}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-437844}, pages = {8}, year = {2019}, abstract = {Humans generate internal models of their environment to predict events in the world. As the environments change, our brains adjust to these changes by updating their internal models. Here, we investigated whether and how 9-month-old infants differentially update their models to represent a dynamic environment. Infants observed a predictable sequence of stimuli, which were interrupted by two types of cues. Following the update cue, the pattern was altered, thus, infants were expected to update their predictions for the upcoming stimuli. Because the pattern remained the same after the no-update cue, no subsequent updating was required. Infants showed an amplified negative central (Nc) response when the predictable sequence was interrupted. Late components such as the PSW were also evoked in response to unexpected stimuli; however, we found no evidence for a differential response to the informational value of surprising cues at later stages of processing. Infants rather learned that surprising cues always signal a change in the environment that requires updating. Interestingly, infants responded with an amplified neural response to the absence of an expected change, suggesting a top-down modulation of early sensory processing in infants. Our findings corroborate emerging evidence showing that infants build predictive models early in life.}, language = {en} } @article{KrauseMeyerBekkeringetal.2018, author = {Krause, Florian and Meyer, Marlene and Bekkering, Harold and Hunnius, Sabine and Lindemann, Oliver}, title = {Interaction between perceptual and motor magnitudes in early childhood}, series = {Cognitive development}, volume = {49}, journal = {Cognitive development}, publisher = {Elsevier Science}, address = {Amsterdam}, issn = {0885-2014}, doi = {10.1016/j.cogdev.2018.11.001}, pages = {11 -- 19}, year = {2018}, abstract = {Recent research has suggested that all types of size-related information are linked by a generalised system that codes for domain-independent magnitudes. This generalized system is further suggested to be acquired through everyday sensorimotor experiences with contingencies of size-related information in the real world. The aim of the present study was to investigate the existence of this common representation and its impact on the coupling of perception and action in early childhood. According to an embodied view on magnitude representation, an association between perceived magnitude information and size-related motor features, such as applied motor force, should emerge as soon as motor control is sufficiently developed. This hypothesis was tested in 2.5- to 3-year-old toddlers by engaging them in a computer game-like experimental task in which they were required to move objects placed on a platform upwards by pressing a button. The amount of objects was varied systematically (small amount: 3 vs. large amount: 15) and the force children applied on the button while moving the objects was recorded. Importantly, the amount of applied force was not relevant for successfully playing the game. The analysis of the peak force revealed that motor responses were executed more forcefully when children were presented with a large amount of objects compared to a small amount, irrespective of the toddler's motor abilities which were evaluated by two additional measures (force control and general fine motor skills). This general effect of perceived magnitude information on the task-irrelevant applied motor force confirms our notion that a link between perceptual and motor magnitudes exists already in early childhood and provides new evidence for a sensorimotor grounding of magnitude concepts.}, language = {en} } @article{KayhanWagnerMeyerO’Reillyetal.2019, author = {Kayhan Wagner, Ezgi and Meyer, Marlene and O'Reilly, J.X. and Hunnius, Sabine and Bekkering, Harold}, title = {Nine-month-old infants update their predictive models of a changing environment}, series = {Developmental Cognitive Neuroscience : a journal for cognitive, affective and social developmental neuroscience}, volume = {38}, journal = {Developmental Cognitive Neuroscience : a journal for cognitive, affective and social developmental neuroscience}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1878-9293}, doi = {10.1016/j.dcn.2019.100680}, pages = {8}, year = {2019}, abstract = {Humans generate internal models of their environment to predict events in the world. As the environments change, our brains adjust to these changes by updating their internal models. Here, we investigated whether and how 9-month-old infants differentially update their models to represent a dynamic environment. Infants observed a predictable sequence of stimuli, which were interrupted by two types of cues. Following the update cue, the pattern was altered, thus, infants were expected to update their predictions for the upcoming stimuli. Because the pattern remained the same after the no-update cue, no subsequent updating was required. Infants showed an amplified negative central (Nc) response when the predictable sequence was interrupted. Late components such as the PSW were also evoked in response to unexpected stimuli; however, we found no evidence for a differential response to the informational value of surprising cues at later stages of processing. Infants rather learned that surprising cues always signal a change in the environment that requires updating. Interestingly, infants responded with an amplified neural response to the absence of an expected change, suggesting a top-down modulation of early sensory processing in infants. Our findings corroborate emerging evidence showing that infants build predictive models early in life.}, language = {en} }