144 citations · 311 across the 9 of their papers we have counts for
9 papers
Improving data sharing and knowledge transfer via the Neuroelectrophysiology Analysis Ontology (NEAO)
Cristiano André Köhler, Sonja Grün, Michael Denker
Describing the processes involved in analyzing data from electrophysiology experiments to investigate the function of neural systems is inherently challenging. On the one hand, dat…
Assessing the similarity of real matrices with arbitrary shape
Jasper Albers, Anno C. Kurth, Robin Gutzen +5
Assessing the similarity of matrices is valuable for analyzing the extent to which data sets exhibit common features in tasks such as data clustering, dimensionality reduction, pat…
Facilitating the sharing of electrophysiology data analysis results through in-depth provenance capture
Cristiano André Köhler, Danylo Ulianych, Sonja Grün +2
Scientific research demands reproducibility and transparency, particularly in data-intensive fields like electrophysiology. Electrophysiology data is typically analyzed using scrip…
Comparing apples to apples -- Using a modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets
Robin Gutzen, Giulia De Bonis, Chiara De Luca +11
Neuroscience is moving towards a more integrative discipline, where understanding brain function requires consolidating the accumulated evidence seen across experiments, species, a…
Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles
Robin Gutzen, Sonja Grün, Michael Denker
Neural systems are networks, and strategic comparisons between multiple networks are a prevalent task in many research scenarios. In this study, we construct a statistical test for…
Evaluation of spike sorting algorithms: Simulations and application to human Subthalamic Nucleus recordings
Jeyathevy Sukiban, Nicole Voges, Till A. Dembek +5
An important prerequisite for the analysis of spike synchrony in extracellular recordings is the extraction of single unit activity from the recorded multi unit signal. To identify…