Sonja Grün

According to our database1, Sonja Grün authored at least 52 papers between 1995 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles.
Biosyst., January, 2023

Distinct modes of top-down cognitive processing in the ventral visual cortex.
NeuroImage, 2019

odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments.
Frontiers Neuroinformatics, 2019

3d-SPADE: Significance evaluation of spatio-temporal patterns of various temporal extents.
Biosyst., 2019

Reproducible Neural Network Simulations: Statistical Methods for Model Validation on the Level of Network Activity Data.
Frontiers Neuroinformatics, 2018

Methods for identification of spike patterns in massively parallel spike trains.
Biol. Cybern., 2018

Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy models.
PLoS Comput. Biol., 2017

Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE.
Frontiers Comput. Neurosci., 2017

ASSET: Analysis of Sequences of Synchronous Events in Massively Parallel Spike Trains.
PLoS Comput. Biol., 2016

Handling Metadata in a Neurophysiology Laboratory.
Frontiers Neuroinformatics, 2016

A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC.
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.
Proceedings of the Graph-Based Representation and Reasoning, 2016

Local field potentials in primate motor cortex encode grasp kinetic parameters.
NeuroImage, 2015

Designing Workflows for the Reproducible Analysis of Electrophysiological Data.
Proceedings of the Brain-Inspired Computing - Second International Workshop, 2015

Unitary Event Analysis.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Surrogate Data for Evaluation of Spike Correlation.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Spike Train Analysis: Overview.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Noise Suppression and Surplus Synchrony by Coincidence Detection.
PLoS Comput. Biol., 2013

Impact of Spike Train Autostructure on Probability Distribution of Joint Spike Events.
Neural Comput., 2013

Finding neural assemblies with frequent item set mining.
Frontiers Neuroinformatics, 2013

Statistical evaluation of synchronous spike patterns extracted by frequent item set mining.
Frontiers Comput. Neurosci., 2013

New algorithms for finding approximate frequent item sets.
Soft Comput., 2012

State-Space Analysis of Time-Varying Higher-Order Spike Correlation for Multiple Neural Spike Train Data.
PLoS Comput. Biol., 2012

Assembly Detection in Continuous Neural Spike Train Data.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Complexity distribution as a measure for assembly size and temporal precision.
Neural Networks, 2010

CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains.
J. Comput. Neurosci., 2010

Estimating the contribution of assembly activity to cortical dynamics from spike and population measures.
J. Comput. Neurosci., 2010

Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference.
Frontiers Comput. Neurosci., 2010

Surrogate Spike Train Generation Through Dithering in Operational Time.
Frontiers Comput. Neurosci., 2010

Efficient Identification of Assembly Neurons within Massively Parallel Spike Trains.
Comput. Intell. Neurosci., 2010

State-space analysis on time-varying correlations in parallel spike sequences.
Proceedings of the IEEE International Conference on Acoustics, 2009

Identification of neurons participating in cell assemblies.
Proceedings of the IEEE International Conference on Acoustics, 2009

Can Spike Coordination Be Differentiated from Rate Covariation?
Neural Comput., 2008

Validation of task-related excess of spike coincidences based on NeuroXidence.
Neurocomputing, 2007

Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro.
Neurocomputing, 2007

Phase synchronization between LFP and spiking activity in motor cortex during movement preparation.
Neurocomputing, 2007

Spatially organized spike correlation in cat visual cortex.
Neurocomputing, 2007

Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data.
Proceedings of the Dynamic Brain, 2007

Bounds of the Ability to Destroy Precise Coincidences by Spike Dithering.
Proceedings of the Advances in Brain, 2007

Robustness of the significance of spike synchrony with respect to sorting errors.
J. Comput. Neurosci., 2006

Theory of the Snowflake Plot and Its Relations to Higher-Order Analysis Methods.
Neural Comput., 2005

Analysis of higher-order correlations in multiple parallel processes.
Neurocomputing, 2003

Non-parametric significance estimation of joint-spike events by shuffling and resampling.
Neurocomputing, 2003

Analysis of Multidimensional Neural Activity Via CNN-UM.
Int. J. Neural Syst., 2003

Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods.
Complex., 2003

Effect of cross-trial nonstationarity on joint-spike events.
Biol. Cybern., 2003

Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data.
Neural Comput., 2002

Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance.
Neural Comput., 2002

Unitary joint events in multiple neuron spiking activity: detection, significance, and interpretation.
PhD thesis, 1996

Signatures of Dynamic Cell Assemblies in Monkey Motor Cortex.
Proceedings of the Artificial Neural Networks, 1996

Detecting higher-order interactions among the spiking events in a group of neurons.
Biol. Cybern., 1995