Patricia Wollstadt

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All published works

Action	Title	Year	Authors
+ PDF Chat	Partial information decomposition for continuous variables based on shared exclusions: Analytical formulation and estimation	2024	David A. Ehrlich Kyle Schick-Poland Abdullah Makkeh Felix Lanfermann Patricia Wollstadt Michael Wibral
+ PDF Chat	Information-theoretic analyses of neural data to minimize the effect of researchers’ assumptions in predictive coding studies	2023	Patricia Wollstadt Daniel L. Rathbun W. Martin Usrey André M. Bastos Michael Lindner Viola Priesemann Michael Wibral
+	Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces	2023	Felix Lanfermannn S. Schmitt Patricia Wollstadt
+	Precision and Recall Reject Curves for Classification	2023	Lydia Fischer Patricia Wollstadt
+	Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation	2023	David A. Ehrlich Kyle Schick-Poland Abdullah Makkeh Felix Lanfermann Patricia Wollstadt Michael Wibral
+ PDF Chat	Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces	2022	Felix Lanfermann Sebastian Schmitt Patricia Wollstadt
+	Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies	2022	Patricia Wollstadt Daniel L. Rathbun W. Martin Usrey and André M. Bastos Michael Lindner Viola Priesemann Michael Wibral
+ PDF Chat	Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory	2021	Patricia Wollstadt Sebastian Schmitt
+	A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition	2021	Patricia Wollstadt Sebastian Schmitt Michael Wibral
+ PDF Chat	Quantifying the Predictability of Visual Scanpaths Using Active Information Storage	2021	Patricia Wollstadt Martina Hasenjäger Christiane B. Wiebel-Herboth
+	A partial information decomposition for discrete and continuous variables	2021	Kyle Schick-Poland Abdullah Makkeh Aaron J. Gutknecht Patricia Wollstadt Anja Sturm Michael Wibral
+	Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory	2021	Patricia Wollstadt Sebastian Schmitt
+	A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition	2021	Patricia Wollstadt Sebastian Schmitt Michael Wibral
+	A Compact Spectral Descriptor for Shape Deformations	2020	Skylar Sible Rodrigo Iza-Teran Jochen Garcke Nikola Aulig Patricia Wollstadt
+ PDF Chat	IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks	2019	Patricia Wollstadt Joseph T. Lizier Raúl Vicente Conor Finn Mario Martínez‐Zarzuela Pedro A. M. Mediano Leonardo Novelli Michael Wibral
+ PDF Chat	Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing	2019	Leonardo Novelli Patricia Wollstadt Pedro A. M. Mediano Michael Wibral Joseph T. Lizier
+ PDF Chat	Breakdown of local information processing may underlie isoflurane anesthesia effects	2017	Patricia Wollstadt Kristin K. Sellers Lucas Rudelt Viola Priesemann Axel Hutt Flavio Fröhlich Michael Wibral
+ PDF Chat	Breakdown of local information processing may underlie isoflurane anesthesia effects	2017	Patricia Wollstadt Kristin K. Sellers Lucas Rudelt Viola Priesemann Axel Hutt Flavio Fröhlich Michael Wibral
+	The relation of local entropy and information transfer suggests an origin of isoflurane anesthesia effects in local information processing	2016	Patricia Wollstadt Kristin K. Sellers Lucas Rudelt Viola Priesemann Axel Hutt Flavio Fröhlich Michael Wibral
+ PDF Chat	A Graph Algorithmic Approach to Separate Direct from Indirect Neural Interactions	2015	Patricia Wollstadt Ulrich Meyer Michael Wibral
+ PDF Chat	Efficient Transfer Entropy Analysis of Non-Stationary Neural Time Series	2014	Patricia Wollstadt Mario Martínez‐Zarzuela Raúl Vicente Francisco Javier Díaz Pernas Michael Wibral

Common Coauthors

Coauthor	Papers Together
Michael Wibral	14
Viola Priesemann	5
Sebastian Schmitt	5
Flavio Fröhlich	3
Felix Lanfermann	3
Kyle Schick-Poland	3
Axel Hutt	3
Lucas Rudelt	3
Abdullah Makkeh	3
Kristin K. Sellers	3
Joseph T. Lizier	2
André M. Bastos	2
Daniel L. Rathbun	2
David A. Ehrlich	2
Mario Martínez‐Zarzuela	2
Leonardo Novelli	2
Pedro A. M. Mediano	2
Michael Lindner	2
Raúl Vicente	2
Francisco Javier Díaz Pernas	1
Christiane B. Wiebel-Herboth	1
Jochen Garcke	1
W. Martin Usrey and	1
S. Schmitt	1
Ulrich Meyer	1
W. Martin Usrey	1
Skylar Sible	1
Rodrigo Iza-Teran	1
Martina Hasenjäger	1
Conor Finn	1
Lydia Fischer	1
Nikola Aulig	1
Aaron J. Gutknecht	1
Anja Sturm	1
Felix Lanfermannn	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Estimating mutual information	2004	Alexander Kraskov Harald Stögbauer Peter Grassberger	11
+ PDF Chat	IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks	2019	Patricia Wollstadt Joseph T. Lizier Raúl Vicente Conor Finn Mario Martínez‐Zarzuela Pedro A. M. Mediano Leonardo Novelli Michael Wibral	7
+ PDF Chat	JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems	2014	Joseph T. Lizier	6
+ PDF Chat	Bivariate measure of redundant information	2013	Malte Harder Christoph Salge Daniel Polani	6
+ PDF Chat	Quantifying Unique Information	2014	Nils Bertschinger Johannes Rauh Eckehard Olbrich Jürgen Jost Nihat Ay	5
+ PDF Chat	Quantifying Synergistic Mutual Information	2013	Virgil Griffith Christof Koch	5
+	Nonnegative Decomposition of Multivariate Information	2010	Paul L. Williams Randall D. Beer	5
+ PDF Chat	Measuring Information Transfer	2000	Thomas Schreiber	5
+ PDF Chat	Introducing a differentiable measure of pointwise shared information	2021	Abdullah Makkeh Aaron J. Gutknecht Michael Wibral	5
+	Detecting strange attractors in turbulence	1981	Floris Takens	4
+ PDF Chat	BROJA-2PID: A Robust Estimator for Bivariate Partial Information Decomposition	2018	Abdullah Makkeh Dirk Oliver Theis Raúl Vicente	4
+	Generalized Measures of Information Transfer	2011	Paul L. Williams Randall D. Beer	4
+ PDF Chat	Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing	2019	Leonardo Novelli Patricia Wollstadt Pedro A. M. Mediano Michael Wibral Joseph T. Lizier	4
+ PDF Chat	Efficient Transfer Entropy Analysis of Non-Stationary Neural Time Series	2014	Patricia Wollstadt Mario Martínez‐Zarzuela Raúl Vicente Francisco Javier Díaz Pernas Michael Wibral	3
+ PDF Chat	Entropy and information in neural spike trains: Progress on the sampling problem	2004	Ilya Nemenman William Bialek Rob de Ruyter van Steveninck	3
+	Generalized Measures of Information Transfer	2011	Paul L. Williams Randall D. Beer	3
+ PDF Chat	Bits from Brains for Biologically Inspired Computing	2015	Michael Wibral Joseph T. Lizier Viola Priesemann	3
+	Bits and pieces: understanding information decomposition from part-whole relationships and formal logic	2021	Aaron J. Gutknecht Michael Wibral Abdullah Makkeh	3
+ PDF Chat	Fitting Linear Mixed-Effects Models Using<b>lme4</b>	2015	Douglas M. Bates Martin Mächler Benjamin M. Bolker Steve Walker	3
+ PDF Chat	Granger Causality and Transfer Entropy Are Equivalent for Gaussian Variables	2009	Lionel Barnett Adam B. Barrett Anil K. Seth	3
+ PDF Chat	Local information transfer as a spatiotemporal filter for complex systems	2008	Joseph T. Lizier Mikhail Prokopenko Albert Y. Zomaya	3
+ PDF Chat	Differentiating information transfer and causal effect	2010	Joseph T. Lizier Mikhail Prokopenko	3
+	Nonnegative Decomposition of Multivariate Information	2010	Paul L. Williams Randall D. Beer	3
+ PDF Chat	Exploration of synergistic and redundant information sharing in static and dynamical Gaussian systems	2015	Adam B. Barrett	2
+	Permutation tests for multi-factorial analysis of variance	2003	Marti J. Anderson Cajo J. F. ter Braak	2
+	Bayesian entropy estimation for countable discrete distributions	2014	Evan Archer Il Memming Park Jonathan W. Pillow	2
+	On random graphs. I.	2022	P. Erdős A. Rényi	2
+ PDF Chat	A Framework for the Local Information Dynamics of Distributed Computation in Complex Systems	2013	Joseph T. Lizier Mikhail Prokopenko Albert Y. Zomaya	2
+	Rectangular Confidence Regions for the Means of Multivariate Normal Distributions	1967	Zbyněk Šidák	2
+	A solution to dependency: using multilevel analysis to accommodate nested data	2014	Emmeke Aarts Matthijs Verhage Jesse V. Veenvliet Conor V. Dolan Sophie van der Sluis	2
+ PDF Chat	Measuring Multivariate Redundant Information with Pointwise Common Change in Surprisal	2017	Robin A. A. Ince	2
+ PDF Chat	Pointwise Partial Information Decomposition Using the Specificity and Ambiguity Lattices	2018	Conor Finn Joseph T. Lizier	2
+	Fitting Linear Mixed-Effects Models using lme4	2014	Douglas M. Bates Martin Mächler Benjamin M. Bolker Steve Walker	2
+ PDF Chat	Assessing Coupling Dynamics from an Ensemble of Time Series	2015	Germán Gómez-Herrero Wei Wu Kalle Rutanen Miguel C. Soriano Gordon Pipa Vicente Raúl	2
+ PDF Chat	Breakdown of local information processing may underlie isoflurane anesthesia effects	2017	Patricia Wollstadt Kristin K. Sellers Lucas Rudelt Viola Priesemann Axel Hutt Flavio Fröhlich Michael Wibral	2
+ PDF Chat	Causal Network Inference by Optimal Causation Entropy	2015	Jie Sun Dane Taylor Erik M. Bollt	2
+	Multivariate information transmission	1954	W. J. McGill	2
+ PDF Chat	Transfer entropy in continuous time, with applications to jump and neural spiking processes	2017	Richard E. Spinney Mikhail Prokopenko Joseph T. Lizier	2
+ PDF Chat	Shared Information—New Insights and Problems in Decomposing Information in Complex Systems	2013	Nils Bertschinger Johannes Rauh Eckehard Olbrich Jürgen Jost	2
+ PDF Chat	Random effects structure for confirmatory hypothesis testing: Keep it maximal	2013	Dale J. Barr Roger Lévy Christoph Scheepers Harry Tily	2
+	On the interpretation of weight vectors of linear models in multivariate neuroimaging	2013	Stefan Haufe Frank C. Meinecke Kai Görgen Sven Dähne John–Dylan Haynes Benjamin Blankertz Felix Bießmann	1
+ PDF Chat	Quantifying Redundant Information in Predicting a Target Random Variable	2015	Virgil Griffith Tracey Ho	1
+ PDF Chat	Emergence of Scaling in Random Networks	1999	Albert‐László Barabási Réka Albert	1
+ PDF Chat	Efficient generation of large random networks	2005	Vladimir Batagelj Ulrik Brandes	1
+	PRODUCTS OF RADON SPACES	1980	Michael L. Wage	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+ PDF Chat	Nonuniform state-space reconstruction and coupling detection	2010	Ioannis Vlachos Dimitris Kugiumtzis	1
+ PDF Chat	Regularities unseen, randomness observed: Levels of entropy convergence	2003	James P. Crutchfield David P. Feldman	1
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	1
+	Introduction to Algorithms, third edition	2009	Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein	1