Julian Q. Kosciessa

Fellow
Max Planck UCL Centre for Computational Psychiatry and Ageing Research
+49 30 82406 626

Curriculum Vitae

  • B.Sc. Psychology, 2014, Freie Universität Berlin
  • M.Sc. Mind and Brain - Track Brain, 2016, Humboldt-Universität zu Berlin
  • Doctoral Fellow, 2016–2020, IMPRS COMP2PSYCH
  • Dr. rer. nat., Psychology, 2020, Humboldt-Universität zu Berlin

Research interests

  • Inter– and intraindividual variability in rhythmic neural activity
  • Age-related changes in macroscopic neural network dynamics
  • Dynamic characterization of neural rhythms
  • Characterization of "neural complexity"
  • Facing environmental uncertainty
  • Thalamic influences on cortical dynamics and cognition

Selected publication

Kosciessa, J. Q. (2020). Measurement and relevance of rhythmic and aperiodic human brain dynamics. (Dr. rer. nat.). Humboldt-Universität zu Berlin. https://doi.org/10.18452/22040

Kosciessa, J. Q., Grandy, T. H., Garrett, D. D., & Werkle-Bergner, M. (2020). Single-trial characterization of neural rhythms: Potential and challenges. Neuroimage, 206, 116331. https://doi.org/10.1016/j.neuroimage.2019.116331

Kosciessa, J. Q., Kloosterman, N. A., & Garrett, D. D. (2020). Standard multiscale entropy reflects neural dynamics at mismatched temporal scales: What's signal irregularity got to do with it? PLoS Computational Biology, 16(5), e1007885. https://doi.org/10.1371/journal.pcbi.1007885

Kosciessa, J. Q., Lindenberger, U., & Garrett, D. D. (2020). Thalamocortical excitability adjustments guide human perception under uncertainty. bioRxiv. https://doi.org/10.1101/2020.06.22.165118

Extra information

Alumnus, IMPRS COMP2PSYCH Fellow until June 30, 2020

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