Sonja Grün

According to our database1, Sonja Grün authored at least 49 papers between 1995 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

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

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

Methods for identification of spike patterns in massively parallel spike trains.
Biological Cybernetics, 2018

2017
Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy models.
PLoS Computational Biology, 2017

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

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

Handling Metadata in a Neurophysiology Laboratory.
Front. Neuroinform., 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

2015
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

2014
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

2013
Noise Suppression and Surplus Synchrony by Coincidence Detection.
PLoS Computational Biology, 2013

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

Finding neural assemblies with frequent item set mining.
Front. Neuroinform., 2013

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

2012
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 Computational Biology, 2012

Assembly Detection in Continuous Neural Spike Train Data.
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.
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.
Neural Networks, 2010

CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains.
Journal of Computational Neuroscience, 2010

Estimating the contribution of assembly activity to cortical dynamics from spike and population measures.
Journal of Computational Neuroscience, 2010

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

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

Efficient Identification of Assembly Neurons within Massively Parallel Spike Trains.
Comp. Int. and Neurosc., 2010

2009
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

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

2007
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

2006
Robustness of the significance of spike synchrony with respect to sorting errors.
Journal of Computational Neuroscience, 2006

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

2003
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.
Complexity, 2003

Effect of cross-trial nonstationarity on joint-spike events.
Biological Cybernetics, 2003

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

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

1996
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

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


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