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In 2012, Ezgi received a fellowship from the European Union Marie Curie Actions-Seventh Research Programme (FP7) to join the ACT Initial Training Network to pursue her doctoral studies at the Donders Institute for Brain, Cognition and Behavior in the Netherlands under the supervision of Prof. Dr. Harold Bekkering and Prof. Dr. Sabine Hunnius. In 2014, Ezgi visited the Uppsala Child and Baby Lab in Sweden for three months to work with Prof. Dr. Gustaf Gredebäck. Using several methods such as eye tracking, EEG and computational modeling, her doctoral work investigated how young children learn about the structure of the world and how they adjust their world models in response to changes in the environment.
In 2017, she started to work as a postdoctoral researcher at Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, under the supervision of Prof. Dr. Stefanie Hoehl to investigate the dynamics of social learning using several brain-to-brain synchronization methods such as dual EEG and fNIRS (i.e. hyperscanning).
In 2019, Ezgi started her position at the University of Potsdam funded through a “Temporary Positions for Principal Investigators” grant awarded to her within the DFG Priority Programme “The Active Self” with which she investigates emerging sense of self in infancy.
Kayhan, E., Meyer, M., O’Reilly, J. X., Hunnius, S., & Bekkering, H. (in press). Nine-month-old infants update their predictive models of a changing environment. Developmental Cognitive Neuroscience.
Kayhan, E., Heil, L., Kwisthout, J., van Rooij, I., Hunnius, S., & Bekkering, H. (2019). Young children integrate current observations, priors and agent information to predict others' actions. PLOS ONE 14(5): e0200976. https://doi.org/10.1371/journal.pone.0200976.
Kayhan, E., Hunnius, S., O'Reilly, J. X., & Bekkering, H. (2019). Infants differentially update their internal models of a dynamic environment. Cognition, 186, 139-146. doi: 10.1016/j.cognition.2019.02.004.
Kayhan, E., Gredebäck, G., & Lindskog, M. (2017). Infants distinguish between two events based on their relative likelihood. Child Development, 89(6):e507-e519. doi: 10.1111/cdev.12970. (Press release can be found here: https://www.cbs.mpg.de/probability-babies)
Kayhan, E. & Kwisthout, J. (2017). Predictive processing in development. CDS newsletter: The newsletter of the technical committee on cognitive and developmental systems. Available at http://goo.gl/dyrg6s