Sonja Grün, Dr. rer. nat. habil.

Affiliations: 
1984-1991 Physics Eberhard Karls Universität Tübingen, Tübingen, Baden-Württemberg, Germany 
 1991-1995 Neuroinformatics Ruhr Univ Bochum 
 1995-1996 Neurobiology Weizmann Institute of Science, Rehovot, Israel 
 1996-1998 Physiology Hadassah Medical School, Hebrew University, Jerusalem, Israel, Israel 
 1998-2002 Neurophysiology Max-Planck Inst for Brain Reserach, Frankfurt/M 
 2002-2006 Theoretical Neuroscience and Neuroinformatics Freie Universität Berlin, Berlin, Germany 
 2006-2011 Statistical Neuroscience RIKEN Brain Science Institute, Wakō-shi, Saitama-ken, Japan 
 2011- Computational and Systems Neuroscience Research Center Juelich, Jülich, Nordrhein-Westfalen, Germany 
 2011- Theoretical Systems Neurobiology Rheinisch-Westfaelische Technische Hochschule, Aachen, NRW, Germany 
Area:
identification of network interactions, correlation analyses, spike train analysis, data management
Website:
https://www.fz-juelich.de/inm/inm-6/EN/Home/home_node_INM6.html
Google:
"Sonja Grün"
Bio:

Sonja Grün is Professor for Theoretical Systems Neurobiology at RWTH Aachen University, Germany and Director of the Institutes Neuroscience and Medicine INM-6 and INM-10 at the Research Centre Jülich, Germany. Her research interests are a) dynamical interactions in the brain network, b) development of statistical analysis tools for activity data, c) development of collaborative, reproducible workflows, and d) closing the loop between neural network models and experimental data.

Mean distance: 12.87 (cluster 17)
 
SNBCP
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Publications

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Tatsuno M, Malek S, Kalvi L, et al. (2020) Correction to 'Memory reactivation in rat medial prefrontal cortex occurs in a subtype of cortical UP state during slow-wave sleep'. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 375: 20200258
Ito J, Lucrezia E, Palm G, et al. (2019) Detection and evaluation of bursts in terms of novelty and surprise. Mathematical Biosciences and Engineering : Mbe. 16: 6990-7008
Sprenger J, Zehl L, Pick J, et al. (2019) odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments. Frontiers in Neuroinformatics. 13: 62
Stella A, Quaglio P, Torre E, et al. (2019) 3d-SPADE: Significance Evaluation of Spatio-Temporal Patterns of Various Temporal Extents. Bio Systems
Sukiban J, Voges N, Dembek TA, et al. (2019) Evaluation of Spike Sorting Algorithms: Application to Human Subthalamic Nucleus Recordings and Simulations. Neuroscience. 414: 168-185
Jo HG, Ito J, Schulte Holthausen B, et al. (2019) Task-dependent functional organizations of the visual ventral stream. Scientific Reports. 9: 9316
Dahmen D, Grün S, Diesmann M, et al. (2019) Second type of criticality in the brain uncovers rich multiple-neuron dynamics. Proceedings of the National Academy of Sciences of the United States of America
Einevoll GT, Destexhe A, Diesmann M, et al. (2019) The Scientific Case for Brain Simulations. Neuron. 102: 735-744
Jo HG, Kellermann T, Baumann C, et al. (2019) Distinct modes of top-down cognitive processing in the ventral visual cortex. Neuroimage
Kass RE, Amari SI, Arai K, et al. (2018) Computational Neuroscience: Mathematical and Statistical Perspectives. Annual Review of Statistics and Its Application. 5: 183-214
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