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Sonja Grün
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2020 – today
- 2024
- [c11]Laurène Carminatti, Lucio Condro, Alexa Riehle, Sonja Grün, Thomas Brochier, Emmanuel Daucé:
Non-instructed Motor Skill Learning in Monkeys: Insights from Deep Reinforcement Learning Models. SAB 2024: 263-274 - 2023
- [j38]Robin Gutzen, Sonja Grün, Michael Denker:
Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles. Biosyst. 223: 104813 (2023)
2010 – 2019
- 2019
- [j37]Alessandra Stella, Pietro Quaglio, Emiliano Torre, Sonja Grün:
3d-SPADE: Significance evaluation of spatio-temporal patterns of various temporal extents. Biosyst. 185 (2019) - [j36]Julia Sprenger, Lyuba Zehl, Jana Pick, Michael Sonntag, Jan Grewe, Thomas Wachtler, Sonja Grün, Michael Denker:
odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments. Frontiers Neuroinformatics 13: 62 (2019) - [j35]Han-Gue Jo, Thilo Kellermann, Conrad Baumann, Junji Ito, Barbara Schulte Holthausen, Frank Schneider, Sonja Grün, Ute Habel:
Distinct modes of top-down cognitive processing in the ventral visual cortex. NeuroImage 193: 201-213 (2019) - 2018
- [j34]Pietro Quaglio, Vahid Rostami, Emiliano Torre, Sonja Grün:
Methods for identification of spike patterns in massively parallel spike trains. Biol. Cybern. 112(1-2): 57-80 (2018) - [j33]Robin Gutzen, Michael von Papen, Guido Trensch, Pietro Quaglio, Sonja Grün, Michael Denker:
Reproducible Neural Network Simulations: Statistical Methods for Model Validation on the Level of Network Activity Data. Frontiers Neuroinformatics 12: 90 (2018) - 2017
- [j32]Pietro Quaglio, Alper Yegenoglu, Emiliano Torre, Dominik Endres, Sonja Grün:
Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE. Frontiers Comput. Neurosci. 11: 41 (2017) - [j31]Vahid Rostami, PierGianLuca Porta Mana, Sonja Grün, Moritz Helias:
Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy models. PLoS Comput. Biol. 13(10) (2017) - 2016
- [j30]Lyuba Zehl, Florent Jaillet, Adrian Stoewer, Jan Grewe, Andrey Sobolev, Thomas Wachtler, Thomas Brochier, Alexa Riehle, Michael Denker, Sonja Grün:
Handling Metadata in a Neurophysiology Laboratory. Frontiers Neuroinformatics 10: 26 (2016) - [j29]Emiliano Torre, Carlos Canova, Michael Denker, George L. Gerstein, Moritz Helias, Sonja Grün:
ASSET: Analysis of Sequences of Synchronous Events in Massively Parallel Spike Trains. PLoS Comput. Biol. 12(7) (2016) - [c10]Alper Yegenoglu, Pietro Quaglio, Emiliano Torre, Sonja Grün, Dominik Endres:
Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains. ICCS 2016: 3-16 - [c9]Johanna Senk, Alper Yegenoglu, Olivier Amblet, Yury Brukau, Andrew P. Davison, David Roland Lester, Anna Lührs, Pietro Quaglio, Vahid Rostami, Andrew Rowley, Bernd Schuller, Alan Barry Stokes, Sacha Jennifer van Albada, Daniel Zielasko, Markus Diesmann, Benjamin Weyers, Michael Denker, Sonja Grün:
A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC. JHPCS 2016: 243-256 - 2015
- [j28]Tomislav Milekovic, Wilson Truccolo, Sonja Grün, Alexa Riehle, Thomas Brochier:
Local field potentials in primate motor cortex encode grasp kinetic parameters. NeuroImage 114: 338-355 (2015) - [c8]Michael Denker, Sonja Grün:
Designing Workflows for the Reproducible Analysis of Electrophysiological Data. BrainComp 2015: 58-72 - 2014
- [r3]Sonja Grün:
Spike Train Analysis: Overview. Encyclopedia of Computational Neuroscience 2014 - [r2]Sonja Grün:
Surrogate Data for Evaluation of Spike Correlation. Encyclopedia of Computational Neuroscience 2014 - [r1]Sonja Grün:
Unitary Event Analysis. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j27]Emiliano Torre, David Picado-Muiño, Michael Denker, Christian Borgelt, Sonja Grün:
Statistical evaluation of synchronous spike patterns extracted by frequent item set mining. Frontiers Comput. Neurosci. 7: 132 (2013) - [j26]David Picado-Muiño, Christian Borgelt, Denise Berger, George L. Gerstein, Sonja Grün:
Finding neural assemblies with frequent item set mining. Frontiers Neuroinformatics 7: 9 (2013) - [j25]Gordon Pipa, Sonja Grün, Carl van Vreeswijk:
Impact of Spike Train Autostructure on Probability Distribution of Joint Spike Events. Neural Comput. 25(5): 1123-1163 (2013) - [j24]Matthias Schultze-Kraft, Markus Diesmann, Sonja Grün, Moritz Helias:
Noise Suppression and Surplus Synchrony by Coincidence Detection. PLoS Comput. Biol. 9(4) (2013) - 2012
- [j23]Hideaki Shimazaki, Shun-ichi Amari, Emery N. Brown, Sonja Grün:
State-Space Analysis of Time-Varying Higher-Order Spike Correlation for Multiple Neural Spike Train Data. PLoS Comput. Biol. 8(3) (2012) - [j22]Christian Borgelt, Christian Braune, Tobias Kötter, Sonja Grün:
New algorithms for finding approximate frequent item sets. Soft Comput. 16(5): 903-917 (2012) - [c7]Christian Braune, Christian Borgelt, Sonja Grün:
Assembly Detection in Continuous Neural Spike Train Data. IDA 2012: 78-89 - 2011
- [c6]Christian Braune, Christian Borgelt, Sonja Grün:
Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing. IDA 2011: 55-66 - 2010
- [j21]Denise Berger, Christian Borgelt, Sebastien Louis, Abigail Morrison, Sonja Grün:
Efficient Identification of Assembly Neurons within Massively Parallel Spike Trains. Comput. Intell. Neurosci. 2010: 439648:1-439648:18 (2010) - [j20]Benjamin Staude, Sonja Grün, Stefan Rotter:
Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference. Frontiers Comput. Neurosci. 4: 16 (2010) - [j19]Sebastien Louis, George L. Gerstein, Sonja Grün, Markus Diesmann:
Surrogate Spike Train Generation Through Dithering in Operational Time. Frontiers Comput. Neurosci. 4: 127 (2010) - [j18]Benjamin Staude, Stefan Rotter, Sonja Grün:
CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains. J. Comput. Neurosci. 29(1-2): 327-350 (2010) - [j17]Michael Denker, Alexa Riehle, Markus Diesmann, Sonja Grün:
Estimating the contribution of assembly activity to cortical dynamics from spike and population measures. J. Comput. Neurosci. 29(3): 599-613 (2010) - [j16]Sebastien Louis, Christian Borgelt, Sonja Grün:
Complexity distribution as a measure for assembly size and temporal precision. Neural Networks 23(6): 705-712 (2010)
2000 – 2009
- 2009
- [c5]Sonja Grün, Denise Berger, Christian Borgelt:
Identification of neurons participating in cell assemblies. ICASSP 2009: 3493-3496 - [c4]Hideaki Shimazaki, Shun-ichi Amari, Emery N. Brown, Sonja Grün:
State-space analysis on time-varying correlations in parallel spike sequences. ICASSP 2009: 3501-3504 - 2008
- [j15]Benjamin Staude, Stefan Rotter, Sonja Grün:
Can Spike Coordination Be Differentiated from Rate Covariation? Neural Comput. 20(8): 1973-1999 (2008) - 2007
- [j14]Martin P. Nawrot, Clemens Boucsein, Victor Rodriguez-Molina, Ad Aertsen, Sonja Grün, Stefan Rotter:
Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro. Neurocomputing 70(10-12): 1717-1722 (2007) - [j13]Gordon Pipa, Alexa Riehle, Sonja Grün:
Validation of task-related excess of spike coincidences based on NeuroXidence. Neurocomputing 70(10-12): 2064-2068 (2007) - [j12]Michael Denker, Sébastien Roux, Marc Timme, Alexa Riehle, Sonja Grün:
Phase synchronization between LFP and spiking activity in motor cortex during movement preparation. Neurocomputing 70(10-12): 2096-2101 (2007) - [j11]Denise Berger, David J. Warren, Richard A. Normann, Amos Arieli, Sonja Grün:
Spatially organized spike correlation in cat visual cortex. Neurocomputing 70(10-12): 2112-2116 (2007) - [c3]Antonio Pazienti, Markus Diesmann, Sonja Grün:
Bounds of the Ability to Destroy Precise Coincidences by Spike Dithering. BVAI 2007: 428-437 - [c2]Sonja Grün, Moshe Abeles, Markus Diesmann:
Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data. Summer School on Neural Networks 2007: 96-114 - 2006
- [j10]Antonio Pazienti, Sonja Grün:
Robustness of the significance of spike synchrony with respect to sorting errors. J. Comput. Neurosci. 21(3): 329-342 (2006) - 2005
- [j9]Gabriela Czanner, Sonja Grün, Satish Iyengar:
Theory of the Snowflake Plot and Its Relations to Higher-Order Analysis Methods. Neural Comput. 17(7): 1456-1479 (2005) - 2003
- [j8]Sonja Grün, Alexa Riehle, Markus Diesmann:
Effect of cross-trial nonstationarity on joint-spike events. Biol. Cybern. 88(5): 335-351 (2003) - [j7]Gordon Pipa, Markus Diesmann, Sonja Grün:
Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods. Complex. 8(4): 79-86 (2003) - [j6]Viktor Gál, Sonja Grün, Ronald Tetzlaff:
Analysis of Multidimensional Neural Activity Via CNN-UM. Int. J. Neural Syst. 13(6): 479-487 (2003) - [j5]Gordon Pipa, Sonja Grün:
Non-parametric significance estimation of joint-spike events by shuffling and resampling. Neurocomputing 52-54: 31-37 (2003) - [j4]Gaby Schneider, Sonja Grün:
Analysis of higher-order correlations in multiple parallel processes. Neurocomputing 52-54: 771-777 (2003) - 2002
- [j3]Sonja Grün, Markus Diesmann, Ad Aertsen:
Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance. Neural Comput. 14(1): 43-80 (2002) - [j2]Sonja Grün, Markus Diesmann, Ad Aertsen:
Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data. Neural Comput. 14(1): 81-119 (2002)
1990 – 1999
- 1996
- [b1]Sonja Grün:
Unitary joint events in multiple neuron spiking activity: detection, significance, and interpretation. Ruhr University Bochum, Germany, Deutsch 1996, ISBN 3-8171-1506-7, pp. 1-104 - [c1]Alexa Riehle, Sonja Grün, Ad Aertsen, Jean Requin:
Signatures of Dynamic Cell Assemblies in Monkey Motor Cortex. ICANN 1996: 673-678 - 1995
- [j1]Laura Martignon, H. Von Hassein, Sonja Grün, Ad Aertsen, Günther Palm:
Detecting higher-order interactions among the spiking events in a group of neurons. Biol. Cybern. 73(1): 69-81 (1995)
Coauthor Index
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