Sonja Grün

According to our database, Sonja Grün authored at least 52 papers between 1995 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles.

Robin Gutzen, Sonja Grün, Michael Denker

Biosyst., January, 2023

2019

Distinct modes of top-down cognitive processing in the ventral visual cortex.

Han-Gue Jo, Thilo Kellermann, Conrad Baumann, Junji Ito, Barbara Schulte Holthausen, Frank Schneider, Sonja Grün, Ute Habel

NeuroImage, 2019

odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments.

Julia Sprenger, Lyuba Zehl, Jana Pick, Michael Sonntag, Jan Grewe, Thomas Wachtler, Sonja Grün, Michael Denker

Frontiers Neuroinformatics, 2019

3d-SPADE: Significance evaluation of spatio-temporal patterns of various temporal extents.

Alessandra Stella, Pietro Quaglio, Emiliano Torre, Sonja Grün

Biosyst., 2019

2018

Reproducible Neural Network Simulations: Statistical Methods for Model Validation on the Level of Network Activity Data.

Robin Gutzen, Michael von Papen, Guido Trensch, Pietro Quaglio, Sonja Grün, Michael Denker

Frontiers Neuroinformatics, 2018

Methods for identification of spike patterns in massively parallel spike trains.

Pietro Quaglio, Vahid Rostami, Emiliano Torre, Sonja Grün

Biol. Cybern., 2018

2017

Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy models.

Vahid Rostami, PierGianLuca Porta Mana, Sonja Grün, Moritz Helias

PLoS Comput. Biol., 2017

Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE.

Pietro Quaglio, Alper Yegenoglu, Emiliano Torre, Dominik Endres, Sonja Grün

Frontiers Comput. Neurosci., 2017

2016

ASSET: Analysis of Sequences of Synchronous Events in Massively Parallel Spike Trains.

Emiliano Torre, Carlos Canova, Michael Denker, George L. Gerstein, Moritz Helias, Sonja Grün

PLoS Comput. Biol., 2016

Handling Metadata in a Neurophysiology Laboratory.

Lyuba Zehl, Florent Jaillet, Adrian Stoewer, Jan Grewe, Andrey Sobolev, Thomas Wachtler, Thomas Brochier, Alexa Riehle, Michael Denker, Sonja Grün

Frontiers Neuroinformatics, 2016

A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC.

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

Proceedings of the High-Performance Scientific Computing, 2016

Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains.

Alper Yegenoglu, Pietro Quaglio, Emiliano Torre, Sonja Grün, Dominik Endres

Proceedings of the Graph-Based Representation and Reasoning, 2016

2015

Local field potentials in primate motor cortex encode grasp kinetic parameters.

Tomislav Milekovic, Wilson Truccolo, Sonja Grün, Alexa Riehle, Thomas Brochier

NeuroImage, 2015

Designing Workflows for the Reproducible Analysis of Electrophysiological Data.

Michael Denker, Sonja Grün

Proceedings of the Brain-Inspired Computing - Second International Workshop, 2015

2014

Unitary Event Analysis.

Sonja Grün

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Surrogate Data for Evaluation of Spike Correlation.

Sonja Grün

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Spike Train Analysis: Overview.

Sonja Grün

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2013

Noise Suppression and Surplus Synchrony by Coincidence Detection.

Matthias Schultze-Kraft, Markus Diesmann, Sonja Grün, Moritz Helias

PLoS Comput. Biol., 2013

Impact of Spike Train Autostructure on Probability Distribution of Joint Spike Events.

Gordon Pipa, Sonja Grün, Carl van Vreeswijk

Neural Comput., 2013

Finding neural assemblies with frequent item set mining.

David Picado-Muiño, Christian Borgelt, Denise Berger, George L. Gerstein, Sonja Grün

Frontiers Neuroinformatics, 2013

Statistical evaluation of synchronous spike patterns extracted by frequent item set mining.

Emiliano Torre, David Picado-Muiño, Michael Denker, Christian Borgelt, Sonja Grün

Frontiers Comput. Neurosci., 2013

2012

New algorithms for finding approximate frequent item sets.

Christian Borgelt, Christian Braune, Tobias Kötter, Sonja Grün

Soft Comput., 2012

State-Space Analysis of Time-Varying Higher-Order Spike Correlation for Multiple Neural Spike Train Data.

Hideaki Shimazaki, Shun-ichi Amari, Emery N. Brown, Sonja Grün

PLoS Comput. Biol., 2012

Assembly Detection in Continuous Neural Spike Train Data.

Christian Braune, Christian Borgelt, Sonja Grün

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

2011

Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing.

Christian Braune, Christian Borgelt, Sonja Grün

Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

2010

Complexity distribution as a measure for assembly size and temporal precision.

Sebastien Louis, Christian Borgelt, Sonja Grün

Neural Networks, 2010

CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains.

Benjamin Staude, Stefan Rotter, Sonja Grün

J. Comput. Neurosci., 2010

Estimating the contribution of assembly activity to cortical dynamics from spike and population measures.

Michael Denker, Alexa Riehle, Markus Diesmann, Sonja Grün

J. Comput. Neurosci., 2010

Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference.

Benjamin Staude, Sonja Grün, Stefan Rotter

Frontiers Comput. Neurosci., 2010

Surrogate Spike Train Generation Through Dithering in Operational Time.

Sebastien Louis, George L. Gerstein, Sonja Grün, Markus Diesmann

Frontiers Comput. Neurosci., 2010

Efficient Identification of Assembly Neurons within Massively Parallel Spike Trains.

Denise Berger, Christian Borgelt, Sebastien Louis, Abigail Morrison, Sonja Grün

Comput. Intell. Neurosci., 2010

2009

State-space analysis on time-varying correlations in parallel spike sequences.

Hideaki Shimazaki, Shun-ichi Amari, Emery N. Brown, Sonja Grün

Proceedings of the IEEE International Conference on Acoustics, 2009

Identification of neurons participating in cell assemblies.

Sonja Grün, Denise Berger, Christian Borgelt

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Can Spike Coordination Be Differentiated from Rate Covariation?

Benjamin Staude, Stefan Rotter, Sonja Grün

Neural Comput., 2008

2007

Validation of task-related excess of spike coincidences based on NeuroXidence.

Gordon Pipa, Alexa Riehle, Sonja Grün

Neurocomputing, 2007

Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro.

Martin P. Nawrot, Clemens Boucsein, Victor Rodriguez-Molina, Ad Aertsen, Sonja Grün, Stefan Rotter

Neurocomputing, 2007

Phase synchronization between LFP and spiking activity in motor cortex during movement preparation.

Michael Denker, Sébastien Roux, Marc Timme, Alexa Riehle, Sonja Grün

Neurocomputing, 2007

Spatially organized spike correlation in cat visual cortex.

Denise Berger, David J. Warren, Richard A. Normann, Amos Arieli, Sonja Grün

Neurocomputing, 2007

Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data.

Sonja Grün, Moshe Abeles, Markus Diesmann

Proceedings of the Dynamic Brain, 2007

Bounds of the Ability to Destroy Precise Coincidences by Spike Dithering.

Antonio Pazienti, Markus Diesmann, Sonja Grün

Proceedings of the Advances in Brain, 2007

2006

Robustness of the significance of spike synchrony with respect to sorting errors.

Antonio Pazienti, Sonja Grün

J. Comput. Neurosci., 2006

2005

Theory of the Snowflake Plot and Its Relations to Higher-Order Analysis Methods.

Gabriela Czanner, Sonja Grün, Satish Iyengar

Neural Comput., 2005

2003

Analysis of higher-order correlations in multiple parallel processes.

Gaby Schneider, Sonja Grün

Neurocomputing, 2003

Non-parametric significance estimation of joint-spike events by shuffling and resampling.

Gordon Pipa, Sonja Grün

Neurocomputing, 2003

Analysis of Multidimensional Neural Activity Via CNN-UM.

Viktor Gál, Sonja Grün, Ronald Tetzlaff

Int. J. Neural Syst., 2003

Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods.

Gordon Pipa, Markus Diesmann, Sonja Grün

Complex., 2003

Effect of cross-trial nonstationarity on joint-spike events.

Sonja Grün, Alexa Riehle, Markus Diesmann

Biol. Cybern., 2003

2002

Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data.

Sonja Grün, Markus Diesmann, Ad Aertsen

Neural Comput., 2002

Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance.

Sonja Grün, Markus Diesmann, Ad Aertsen

Neural Comput., 2002

1996

Unitary joint events in multiple neuron spiking activity: detection, significance, and interpretation.

Sonja Grün

PhD thesis, 1996

Signatures of Dynamic Cell Assemblies in Monkey Motor Cortex.

Alexa Riehle, Sonja Grün, Ad Aertsen, Jean Requin

Proceedings of the Artificial Neural Networks, 1996

1995

Detecting higher-order interactions among the spiking events in a group of neurons.

Laura Martignon, H. Von Hassein, Sonja Grün, Ad Aertsen, Günther Palm

Biol. Cybern., 1995