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Publicly Available Published by De Gruyter February 25, 2017

Connectomics: novel methods for the dense reconstruction of neuronal circuits

  • M. Helmstaedter

    Born 1978 in Berlin. Starting in 1998, he attended medical school and studied physics at Ruprecht-Karls-University Heidelberg, Germany, and completed his dissertation with Prof. Dr. Bert Sakmann at the Max Planck Institute for Medical Research, Heidelberg. From 2006-2011, he was a post doctoral fellow with Prof. Dr. Winfried Denk at the same institution. Since 2011, he has been a Research Group Leader at the Max Planck Institute of Neurobiology, Munich-Martinsried, Germany.

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From the journal e-Neuroforum

Abstract

The nervous system is characterized by ex­tremely complex cell-to-cell interactions which primarily occur via chemical synaps­es. Mapping the structure of these intercel­lular networks is one of the major challeng­es in neuroscience. The new field of connec­tomics which has developed in recent years aims at the dense reconstruction of increas­ingly comprehensive nerve cell networks. Au­tomated volume electron microscopy tech­niques are employed for image acquisition. A major obstacle, however, is data reconstruc­tion, for which unusual solutions (e.g., mass reconstruction by crowd sourcing and on­line computer games) are currently being pursued.

About the author

Prof. Dr. M. Helmstaedter

Born 1978 in Berlin. Starting in 1998, he attended medical school and studied physics at Ruprecht-Karls-University Heidelberg, Germany, and completed his dissertation with Prof. Dr. Bert Sakmann at the Max Planck Institute for Medical Research, Heidelberg. From 2006-2011, he was a post doctoral fellow with Prof. Dr. Winfried Denk at the same institution. Since 2011, he has been a Research Group Leader at the Max Planck Institute of Neurobiology, Munich-Martinsried, Germany.

Published Online: 2017-2-25
Published in Print: 2013-3-1

© 2017 by Walter de Gruyter Berlin/Boston

Downloaded on 25.4.2024 from https://www.degruyter.com/document/doi/10.1007/s13295-013-0039-z/html
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