Sonja Grün

Barbara Schulte Holthausen

Michael Denker

Biosyst., January, 2023

2019

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

[BibT_eX]

[DOI]

Frank Schneider

Ute Habel

NeuroImage, 2019

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

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, 2019

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

[BibT_eX]

[DOI]

Biosyst., 2019

2018

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

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, 2018

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

[BibT_eX]

[DOI]

Biol. Cybern., 2018

2017

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

[BibT_eX]

[DOI]

Vahid Rostami

PierGianLuca Porta Mana

Sacha Jennifer van Albada

Moritz Helias

PLoS Comput. Biol., 2017

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

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2017

2016

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

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2016

Handling Metadata in a Neurophysiology Laboratory.

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, 2016

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representation and Reasoning, 2016

2015

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

[BibT_eX]

[DOI]

NeuroImage, 2015

Designing Workflows for the Reproducible Analysis of Electrophysiological Data.

[BibT_eX]

[DOI]

Michael Denker

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

2014

Unitary Event Analysis.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Surrogate Data for Evaluation of Spike Correlation.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Spike Train Analysis: Overview.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2013

Noise Suppression and Surplus Synchrony by Coincidence Detection.

[BibT_eX]

[DOI]

Matthias Schultze-Kraft

Moritz Helias

PLoS Comput. Biol., 2013

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

[BibT_eX]

[DOI]

Carl van Vreeswijk

Neural Comput., 2013

Finding neural assemblies with frequent item set mining.

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, 2013

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

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2013

2012

New algorithms for finding approximate frequent item sets.

[BibT_eX]

[DOI]

Soft Comput., 2012

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

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2012

Assembly Detection in Continuous Neural Spike Train Data.

[BibT_eX]

[DOI]

Christian Braune

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.

[BibT_eX]

[DOI]

Christian Braune

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.

[BibT_eX]

[DOI]

Sebastien Louis

Neural Networks, 2010

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

[BibT_eX]

[DOI]

Benjamin Staude

J. Comput. Neurosci., 2010

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

[BibT_eX]

[DOI]

J. Comput. Neurosci., 2010

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

[BibT_eX]

[DOI]

Benjamin Staude

Frontiers Comput. Neurosci., 2010

Surrogate Spike Train Generation Through Dithering in Operational Time.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2010

Efficient Identification of Assembly Neurons within Massively Parallel Spike Trains.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2010

2009

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Identification of neurons participating in cell assemblies.

[BibT_eX]

[DOI]

Denise Berger

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Can Spike Coordination Be Differentiated from Rate Covariation?

[BibT_eX]

[DOI]

Benjamin Staude

Neural Comput., 2008

2007

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

[BibT_eX]

[DOI]

Alexa Riehle

Neurocomputing, 2007

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

[BibT_eX]

[DOI]

Martin P. Nawrot

Clemens Boucsein

Victor Rodriguez-Molina

Ad Aertsen

Neurocomputing, 2007

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

[BibT_eX]

[DOI]

Neurocomputing, 2007

Spatially organized spike correlation in cat visual cortex.

[BibT_eX]

[DOI]

Neurocomputing, 2007

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

[BibT_eX]

[DOI]

Moshe Abeles

Proceedings of the Dynamic Brain, 2007

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

[BibT_eX]

[DOI]

Antonio Pazienti

Proceedings of the Advances in Brain, 2007

2006

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

[BibT_eX]

[DOI]

Antonio Pazienti

J. Comput. Neurosci., 2006

2005

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

[BibT_eX]

[DOI]

Gabriela Czanner

Satish Iyengar

Neural Comput., 2005

2003

Analysis of higher-order correlations in multiple parallel processes.

[BibT_eX]

[DOI]

Gaby Schneider

Neurocomputing, 2003

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

[BibT_eX]

[DOI]

Neurocomputing, 2003

Analysis of Multidimensional Neural Activity Via CNN-UM.

[BibT_eX]

[DOI]

Viktor Gál

Ronald Tetzlaff

Int. J. Neural Syst., 2003

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

[BibT_eX]

[DOI]

Complex., 2003

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

[BibT_eX]

[DOI]

Alexa Riehle

Biol. Cybern., 2003

2002

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

[BibT_eX]

[DOI]

Ad Aertsen

Neural Comput., 2002

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

[BibT_eX]

[DOI]

Ad Aertsen

Neural Comput., 2002

1996

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

[BibT_eX]

[DOI]