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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Gutzen R, De Bonis G, De Luca C, et al. (2024) A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets. Cell Reports Methods. 100681
Yamane Y, Ito J, Joana C, et al. (2023) Neuronal Population Activity in Macaque Visual Cortices Dynamically Changes through Repeated Fixations in Active Free Viewing. Eneuro. 10
Klingner CM, Denker M, Grün S, et al. (2023) Research Data Management and Data Sharing for Reproducible Research - Results of a Community Survey of the German National Research Data Infrastructure Initiative Neuroscience. Eneuro
Gutzen R, Grün S, Denker M. (2022) Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles. Bio Systems. 104813
Stella A, Bouss P, Palm G, et al. (2022) Comparing Surrogates to Evaluate Precisely Timed Higher-Order Spike Correlations. Eneuro. 9
Ito J, Joana C, Yamane Y, et al. (2022) Latency shortening with enhanced sparseness and responsiveness in V1 during active visual sensing. Scientific Reports. 12: 6021
Kiefer CM, Ito J, Weidner R, et al. (2022) Revealing Whole-Brain Causality Networks During Guided Visual Searching. Frontiers in Neuroscience. 16: 826083
Dahmen D, Layer M, Deutz L, et al. (2022) Global organization of neuronal activity only requires unstructured local connectivity. Elife. 11
Dąbrowska PA, Voges N, von Papen M, et al. (2021) On the Complexity of Resting State Spiking Activity in Monkey Motor Cortex. Cerebral Cortex Communications. 2: tgab033
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
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