Draft:Claus C. Hilgetag (neuroscientist)

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Claus-Christian Hilgetag (commonly referred to as Claus Hilgetag or Claus C. Hilgetag) (born 1969) is a German neuroscientist specializing in theoretical biophysics and network neuroscience. His research focuses on the fundamental organization of brain connectivity, including the interplay between structure and function in large-scale brain networks.

Hilgetag has contributed to studies on the organization, development, and functionality of complex brain networks., the hierarchical organization revealed through functional connectivity, and the implications of non-optimal component placement in neural systems.

Further areas of investigation include causal brain mapping, and the use of simple excitable models to analyze brain dynamics

Hilgetag's contributions have been published in multiple high-impact journals, addressing fundamental aspects of brain connectivity and its relationship to cognitive functions and neurological disorders.

Life and Career

Claus Hilgetag obtained a master's degree (Diplom) in Biophysics at Humboldt University, Berlin in 1994, where his research focused on metabolic networks and contributed to the definition of elementary flux modes.  His research was supervised by Stefan Schuster. He started his PhD in Computational Neuroscience at the University of Oxford and obtained his degree at Newcastle University (1994-1999). During his PhD, he focused on mathematical approaches to brain connectivity analysis. Although he focused on the hierarchical organization of the visual system in cats and macaques, he contributed to works on linking behavioral function to neuronal elements. He was a postdoctoral fellow in the group of Helen Barbas at Boston University at the Department of Anatomy and Neurobiology from 1999 until 2001 as a Wellcome Trust International Fellow. During his fellowship there, he continued his work on brain connectivity and its organization, focusing on laminar patterning and the role of cytoarchitectonic types in brain network architecture. He also worked on modeling paradoxical lesion effects as a consequence of interhemispheric competition among regions of the visual system

In 2001, he moved back to Germany and established his group at Jacobs University of Bremen. During his early years as an assistant and later associate professor, he showed interest in generative network models of nervous systems and contributed to the development of a game-theoretical framework for lesion-symptom mapping. Moreover, he continued his research on the relationship between neuroanatomic and topological features of brain networks. In 2011, he was appointed W3 professor (full professor) at the University Medical Center Hamburg Eppendorf, where he currently directs the Institute of Computational Neuroscience in the Center for Experimental Medicine. He is also an adjunct associate professor at Boston University. In 2015, he was elected as a member of the Academy of Sciences and Humanities in Hamburg.

Besides his scientific works, his contributions to the community include serving as senior editor of Network Neuroscience, PLOS Biology, and Philosophical Transactions of the Royal Society B.  He has been awarded several grants by the German Research Foundation (DFG) and participated as principal investigator in several Collaborative Research Centers.