Dr. Kai Kiwitz

research associate, acad. degree: M.Sc. Psychology

Research interests:

  • Automatic segmentation of cytoarchitectonic areas in the human visual cortex
  • Cytoarchitectonic mapping using deep convolutional neural networks (CNN)

Methodological focus:

  • Functional Comparison of CNNs with its biological paragon
  • CNN as a mapping alternative in the BigBrain model

Teaching activities:

  • Neuroanatomical lectures in Module 1 - M.Sc. Translational Neuroscience & supervisor in Module D - M.Sc. Psychology (brain dissectioning course)

List of publications:

  • Kiwitz K, Brandstetter A, Schiffer C, Bludau S, Mohlberg H, Omidyeganeh M, Massicotte P, Amunts K. (2022) Cytoarchitectonic Maps of the Human Metathalamus in 3D Space. Frontiers in Neuroanatomy. doi.org/10.3389/fnana.2022.837485
  • Schiffer C, Spitzer H, Kiwitz K,Unger N, Wagstyl N, Evans AC, Harmeling S,Amunts K, Dickscheid T. (2021) Convolutional neural networks for cytoarchitectonic brain mapping at large scale. Neuroimage. doi.org/10.1016/j.neuroimage.2021.118327
  • Kiwitz K, Schiffer C, Spitzer H, Dickscheid T, Amunts K. (2020) Deep learning networks reflect cytoarchitectonic features used in brain mapping. Scientific Reports. doi.org/10.1038/s41598-020-78638-y

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