SG
Sonja Grün
Models, Neurologicalneuroscienceq-bio.NCAction PotentialsNeuronselectrophysiologyNeural Networks, ComputerVisual CortexMacacareproducibility
On Valency
published · living versionsW_xzbxbhnu·v1 · currentpublished
Hybrid scheme for modeling local field potentials from point-neuron networks
with Espen Hagen, David Dahmen, Maria L. Stavrinou, Henrik Lindén +4
1 version
Preprints & journals
102 papers in the corpus · 1995–2026Reciprocal Fronto-Parietal Interactions Support Distinct Motor Strategies during Sequential Reaching10.64898/2026.03.03.709252v2 · Bardanikas, G., Jana, S., Meirhaeghe, N. et al.2026 · 1 citationbioRxiv
The effect of data preprocessing on spike correlation analysis results.42776268 · Oberste-Frielinghaus, Jonas, Ito, Junji, Grün, Sonja2026 · 0 citationsBiological cybernetics. 2026;120(5-6)
Detection and Removal of Hyper-synchronous Artifacts in Massively Parallel Spike Recordings.42532845 · Oberste-Frielinghaus, Jonas, Morales-Gregorio, Aitor, Essink, Simon et al.2026 · 6 citationsThe Journal of neuroscience : the official journal of the Society for Neuroscience. 2026;46(35)
A quality measure for repeating multiple-unit spike patterns.42566086 · Palm, Günther, Paoletti, Monica, Ito, Junji et al.2026 · 0 citationsBiological cybernetics. 2026;120(5-6)
Detection and Removal of Hyper-synchronous Artifacts in Massively Parallel Spike Recordings10.1101/2024.01.11.575181v4 · Oberste-Frielinghaus, J., Morales-Gregorio, A., Essink, S. et al.2024 · 6 citationsbioRxiv
A Quality Measure for Repeating Multiple-Unit Spike Patterns10.64898/2026.01.31.702754v2 · Palm, G., Paoletti, M., Ito, J. et al.2026 · 0 citationsbioRxiv
The effect of data preprocessing on spike correlation analysis results10.1101/2025.11.28.691090v1 · Oberste-Frielinghaus, J., Ito, J., Grün, S.2025 · 0 citationsbioRxiv
Spontaneous spiking statistics form unique area-specific fingerprints and reflect the hierarchy of cerebral cortex10.1101/2025.05.13.653871v2 · Morales-Gregorio, A., Gutzen, R., Paneri, S. et al.2025 · 0 citationsbioRxiv
Energy Constraints Determine the Selection of Reaching Movement Trajectories in Macaque Monkeys.40983522 · Jana, Shrabasti, Condro, Lucio, Barthélemy, Frédéric V et al.2025 · 1 citationeNeuro. 2025;12(10)
Synchronization and semantization in deep spiking networks2508.12975v1 · Jonas Oberste-Frielinghaus, Anno C. Kurth, Julian Goltz et al.2025 · 0 citationsarXiv
Improving data sharing and knowledge transfer via the Neuroelectrophysiology Analysis Ontology (NEAO).40442093 · Köhler, Cristiano A, Grün, Sonja, Denker, Michael2025 · 0 citationsScientific data. 2025;12(1):907
Improving data sharing and knowledge transfer via the Neuroelectrophysiology Analysis Ontology (NEAO)2412.05021v1 · Cristiano Andr'e Kohler, Sonja Grun, Michael Denker2024 · 0 citationsarXiv
Revealing Whole-Brain Causality Networks During Guided Visual Searching.35250461 · Kiefer, Christian M, Ito, Junji, Weidner, Ralph et al.2024 · 3 citationsFrontiers in neuroscience. 2022;16:826083
Neural manifolds in V1 change with top-down signals from V4 targeting the foveal region.38923458 · Morales-Gregorio, Aitor, Kurth, Anno C, Ito, Junji et al.2024 · 30 citationsCell reports. 2024;43(7):114371
Computational Neuroscience: Mathematical and Statistical Perspectives.30976604 · Kass, Robert E, Amari, Shun-Ichi, Arai, Kensuke et al.2024 · 65 citationsAnnual review of statistics and its application. 2018;5:183-214
Facilitating the sharing of electrophysiology data analysis results through in-depth provenance capture2311.09672v1 · Cristiano Andr'e Kohler, Danylo Ulianych, Sonja Grun et al.2023 · 2 citationsarXiv
Neural manifolds in V1 change with top-down signals from V4 targeting the foveal region10.1101/2023.06.14.544966v4 · Morales-Gregorio, A., Kurth, A. C., Ito, J. et al.2023 · 30 citationsbioRxiv
Comparing apples to apples -- Using a modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets2211.08527v2 · Robin Gutzen, Giulia De Bonis, Chiara De Luca et al.2022 · 21 citationsarXiv
Non-instructed Motor Skill Learning in Monkeys: Insights from Deep Reinforcement Learning Models10.1101/2023.12.04.569889v1 · Carminatti, L., Condro, L., Riehle, A. et al.2023 · 1 citationbioRxiv
Neuronal Population Activity in Macaque Visual Cortices Dynamically Changes through Repeated Fixations in Active Free Viewing.37798110 · Yamane, Yukako, Ito, Junji, Joana, Cristian et al.2023 · 4 citationseNeuro. 2023;10(10)
odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments.31611781 · Sprenger, Julia, Zehl, Lyuba, Pick, Jana et al.2023 · 22 citationsFrontiers in neuroinformatics. 2019;13:62
Research Data Management and Data Sharing for Reproducible Research-Results of a Community Survey of the German National Research Data Infrastructure Initiative Neuroscience.36750361 · Klingner, Carsten M, Denker, Michael, Grün, Sonja et al.2023 · 14 citationseNeuro. 2023;10(2)
Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles2209.04024v1 · Robin Gutzen, Sonja Grun, Michael Denker2022 · 4 citationsarXiv
Model of multiple synfire chains explains cortical spatio-temporal spike patterns10.1101/2022.08.02.502431v1 · Kleinjohann, A., Berling, D., Stella, A. et al.2022 · 3 citationsbioRxiv
Emerging principles of spacetime in brains: Meeting report on spatial neurodynamics.35709696 · Grün, Sonja, Li, Jennifer, McNaughton, Bruce et al.2022 · 10 citationsNeuron. 2022;110(12):1894-1898
Comparing Surrogates to Evaluate Precisely Timed Higher-Order Spike Correlations.35584914 · Stella, Alessandra, Bouss, Peter, Palm, Günther et al.2022 · 18 citationseNeuro. 2022;9(3)
Hybrid scheme for modeling local field potentials from point-neuron networks1511.01681v2 · Espen Hagen, David Dahmen, Maria L. Stavrinou et al.2015 · 105 citationsarXivon Valency
1024-channel electrophysiological recordings in macaque V1 and V4 during resting state.35277528 · Chen, Xing, Morales-Gregorio, Aitor, Sprenger, Julia et al.2022 · 33 citationsScientific data. 2022;9(1):77
Latency shortening with enhanced sparseness and responsiveness in V1 during active visual sensing.35410997 · Ito, Junji, Joana, Cristian, Yamane, Yukako et al.2022 · 11 citationsScientific reports. 2022;12(1):6021
Overcoming the Reproducibility Crisis - Results of the first Community Survey of the German National Research Data Infrastructure for Neuroscience.10.1101/2022.04.07.487439v1 · Klingner, C., Denker, M., Grün, S. et al.2022 · 3 citationsbioRxiv
Global organization of neuronal activity only requires unstructured local connectivity.35049496 · Dahmen, David, Layer, Moritz, Deutz, Lukas et al.2022 · 34 citationseLife. 2022;11
Comparing surrogates to evaluate precisely timed higher-order spike correlations10.1101/2021.08.24.457480v2 · Stella, A., Bouss, P., Palm, G. et al.2021 · 18 citationsbioRxiv
On the Complexity of Resting State Spiking Activity in Monkey Motor Cortex.34296183 · Dąbrowska, Paulina Anna, Voges, Nicole, von Papen, Michael et al.2021 · 23 citationsCerebral cortex communications. 2021;2(3):tgab033
Global organization of neuronal activity only requires unstructured local connectivity10.1101/2020.07.15.205013v3 · Dahmen, D., Layer, M., Deutz, L. et al.2020 · 34 citationsbioRxiv
Memory reactivation in rat medial prefrontal cortex occurs in a subtype of cortical UP state during slow-wave sleep.32248781 · Tatsuno, Masami, Malek, Soroush, Kalvi, LeAnna et al.2021 · 14 citationsPhilosophical transactions of the Royal Society of London. Series B, Biological sciences. 2020;375(1799):20190227
Task-dependent functional organizations of the visual ventral stream.31249350 · Jo, Han-Gue, Ito, Junji, Schulte Holthausen, Barbara et al.2020 · 7 citationsScientific reports. 2019;9(1):9316
Detection and evaluation of bursts in terms of novelty and surprise.31698600 · Ito, Junji, Lucrezia, Emanuele, Palm, Günther et al.2020 · 4 citationsMathematical biosciences and engineering : MBE. 2019;16(6):6990-7008
Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE.28596729 · Quaglio, Pietro, Yegenoglu, Alper, Torre, Emiliano et al.2020 · 47 citationsFrontiers in computational neuroscience. 2017;11:41
Reproducible Neural Network Simulations: Statistical Methods for Model Validation on the Level of Network Activity Data.30618696 · Gutzen, Robin, von Papen, Michael, Trensch, Guido et al.2020 · 38 citationsFrontiers in neuroinformatics. 2018;12:90
Correction to 'Memory reactivation in rat medial prefrontal cortex occurs in a subtype of cortical UP state during slow-wave sleep'.32829685 · Tatsuno, Masami, Malek, Soroush, Kalvi, LeAnna et al.2020 · 2 citationsPhilosophical transactions of the Royal Society of London. Series B, Biological sciences. 2020;375(1809):20200258
On the complexity of resting state spiking activity in monkey motor cortex10.1101/2020.05.28.121095v1 · Dabrowska, P. A., Voges, N., von Papen, M. et al.2020 · 23 citationsbioRxiv
Evaluation of Spike Sorting Algorithms: Application to Human Subthalamic Nucleus Recordings and Simulations.31299347 · Sukiban, Jeyathevy, Voges, Nicole, Dembek, Till A et al.2020 · 39 citationsNeuroscience. 2019;414:168-185
3d-SPADE: Significance evaluation of spatio-temporal patterns of various temporal extents.31449837 · Stella, Alessandra, Quaglio, Pietro, Torre, Emiliano et al.2020 · 25 citationsBio Systems. 2019;185:104022
Distinct modes of top-down cognitive processing in the ventral visual cortex.30849527 · Jo, Han-Gue, Kellermann, Thilo, Baumann, Conrad et al.2019 · 11 citationsNeuroImage. 2019;193:201-213
Two types of criticality in the brain1711.10930v2 · David Dahmen, Sonja Grun, Markus Diesmann et al.2017 · 130 citationsPNAS 116 (26) 13051-13060 (2019)
Real-time visuomotor behavior and electrophysiology recording setup for use with humans and monkeys.29718806 · de Haan, Marcel Jan, Brochier, Thomas, Grün, Sonja et al.2019 · 17 citationsJournal of neurophysiology. 2018;120(2):539-552
The scientific case for brain simulations1906.06189v1 · Gaute T. Einevoll, Alain Destexhe, Markus Diesmann et al.2019 · 218 citationsEinevoll et al. (2019) The Scientific Case for Brain Simulations. Neuron 102:735-744
Methods for identification of spike patterns in massively parallel spike trains.29651582 · Quaglio, Pietro, Rostami, Vahid, Torre, Emiliano et al.2019 · 31 citationsBiological cybernetics. 2018;112(1-2):57-80
Behavioral Context Determines Network State and Variability Dynamics in Monkey Motor Cortex.30050415 · Riehle, Alexa, Brochier, Thomas, Nawrot, Martin et al.2019 · 31 citationsFrontiers in neural circuits. 2018;12:52
Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task.29633986 · Brochier, Thomas, Zehl, Lyuba, Hao, Yaoyao et al.2019 · 82 citationsScientific data. 2018;5:180055
Career total: 228 works. 102 are in this corpus.Showing the 50 most recent.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.