Processing of location and pattern changes of natural sounds in the human auditory cortex. - Christian F. Altmann; Christoph Bledowski; Michael Wibral; Jochen Kaiser (NeuroImage, 2007)

Time-dependent effects of hyperoxia on the BOLD fMRI signal in primate visual cortex and LGN. - Michael Wibral; Lars Muckli; Katharina Melnikovic; Bertram Scheller; Arjen Alink; Wolf Singer; Matthias H. J. Munk (NeuroImage, 2007)

Task- and performance-related modulation of domain-specific auditory short-term memory representations in the gamma-band. - Jochen Kaiser; Werner Lutzenberger; Christin Decker; Michael Wibral; Benjamin Rahm (NeuroImage, 2009)

Transfer entropy - a model-free measure of effective connectivity for the neurosciences. - Raul Vicente; Michael Wibral; Michael Lindner; Gordon Pipa (J. Comput. Neurosci., 2011)

Revisiting Wiener's principle of causality - interaction-delay reconstruction using transfer entropy and multivariate analysis on delay-weighted graphs. - Michael Wibral; Patricia Wollstadt; Ulrich Meyer 001; Nicolae Pampu; Viola Priesemann; Raul Vicente (EMBC, 2012)

Quantifying additive evoked contributions to the event-related potential. - Georg Turi; Sascha Gotthardt; Wolf Singer; The Anh Vuong; Matthias H. J. Munk; Michael Wibral (NeuroImage, 2012)

Good practice for conducting and reporting MEG research. - Joachim Gross; Sylvain Baillet; Gareth R. Barnes; Richard N. A. Henson; Arjan Hillebrand; Ole Jensen; Karim Jerbi; Vladimir Litvak; Burkhard Maess; Robert Oostenveld; Lauri Parkkonen; Jason R. Taylor; et al. (NeuroImage, 2013)

Neuronal Avalanches Differ from Wakefulness to Deep Sleep - Evidence from Intracranial Depth Recordings in Humans. - Viola Priesemann; Mario Valderrama; Michael Wibral; Michel Le Van Quyen (PLoS Comput. Biol., 2013)

Bits from Biology for Computational Intelligence. - Michael Wibral; Joseph T. Lizier; Viola Priesemann (CoRR, 2014)

Efficient transfer entropy analysis of non-stationary neural time series. - Patricia Wollstadt; Mario Martínez-Zarzuela; Raul Vicente; Francisco Javier Díaz Pernas; Michael Wibral (CoRR, 2014)

Reduced predictable information in brain signals in autism spectrum disorder. - Carlos Gómez; Joseph Troy Lizier; Michael Schaum; Patricia Wollstadt; Christine Grützner; Peter Uhlhaas; Christine M. Freitag; Sabine Schlitt; Sven Bölte; Roberto Hornero; Michael Wibral (Frontiers Neuroinformatics, 2014)

Local active information storage as a tool to understand distributed neural information processing. - Michael Wibral; Joseph T. Lizier; Sebastian Vögler; Viola Priesemann; Ralf Galuske (Frontiers Neuroinformatics, 2014)

Anesthesia-related changes in information transfer may be caused by reduction in local information generation. - Patricia Wollstadt; Kristin K. Sellers; Axel Hutt; Flavio Fröhlich; Michael Wibral (EMBC, 2015)

Partial Information Decomposition as a Unified Approach to the Specification of Neural Goal Functions. - Michael Wibral; Viola Priesemann; Jim W. Kay; Joseph T. Lizier; William A. Phillips (CoRR, 2015)

A Graph Algorithmic Approach to Separate Direct from Indirect Neural Interactions. - Patricia Wollstadt; Ulrich Meyer 001; Michael Wibral (CoRR, 2015)

Bits from Brains for Biologically-Inspired Computing. - Michael Wibral; Joseph T. Lizier; Viola Priesemann (Frontiers Robotics AI, 2015)

Quantifying Information Modification in Developing Neural Networks via Partial Information Decomposition. - Michael Wibral; Conor Finn; Patricia Wollstadt; Joseph T. Lizier; Viola Priesemann (Entropy, 2017)

Interhemispheric Binding of Ambiguous Visual Motion Is Associated with Changes in Beta Oscillatory Activity but Not with Gamma Range Synchrony. - Gabriel Nascimento Costa; João V. Duarte; Ricardo Martins 002; Michael Wibral; Miguel Castelo-Branco (J. Cogn. Neurosci., 2017)

Breakdown of local information processing may underlie isoflurane anesthesia effects. - Patricia Wollstadt; Kristin K. Sellers; Lucas Rudelt; Viola Priesemann; Axel Hutt; Flavio Fröhlich; Michael Wibral (PLoS Comput. Biol., 2017)

Information Decomposition of Target Effects from Multi-Source Interactions: Perspectives on Previous, Current and Future Work. - Joseph T. Lizier; Nils Bertschinger; Jürgen Jost; Michael Wibral (Entropy, 2018)

Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing. - Leonardo Novelli; Patricia Wollstadt; Pedro A. M. Mediano; Michael Wibral; Joseph T. Lizier (CoRR, 2019)

IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. - Patricia Wollstadt; Joseph T. Lizier; Raul Vicente; Conor Finn; Mario Martínez-Zarzuela; Pedro A. M. Mediano; Leonardo Novelli; Michael Wibral (J. Open Source Softw., 2019)

A differentiable measure of pointwise shared information. - Abdullah Makkeh; Aaron J. Gutknecht; Michael Wibral (CoRR, 2020)

Bits and Pieces: Understanding Information Decomposition from Part-whole Relationships and Formal Logic. - Aaron J. Gutknecht; Michael Wibral; Abdullah Makkeh (CoRR, 2020)

Measuring spectrally-resolved information transfer. - Edoardo Pinzuti; Patricia Wollstadt; Aaron J. Gutknecht; Oliver Tüscher; Michael Wibral (PLoS Comput. Biol., 2020)

Estimating the Unique Information of Continuous Variables. - Ari Pakman; Amin Nejatbakhsh; Dar Gilboa; Abdullah Makkeh; Luca Mazzucato; Michael Wibral; Elad Schneidman (NeurIPS, 2021)

A partial information decomposition for discrete and continuous variables. - Kyle Schick-Poland; Abdullah Makkeh; Aaron J. Gutknecht; Patricia Wollstadt; Anja Sturm; Michael Wibral (CoRR, 2021)

A neural correlate of visual feature binding in primate lateral prefrontal cortex. - Mohsen Parto Dezfouli; Philipp Schwedhelm; Michael Wibral; Stefan Treue; Mohammad Reza Daliri; Moein Esghaei (NeuroImage, 2021)

Embedding optimization reveals long-lasting history dependence in neural spiking activity. - Lucas Rudelt; Daniel González Marx; Michael Wibral; Viola Priesemann (PLoS Comput. Biol., 2021)

Partial Information Decomposition Reveals the Structure of Neural Representations. - David A. Ehrlich; Andreas C. Schneider; Michael Wibral; Viola Priesemann; Abdullah Makkeh (CoRR, 2022)

From Babel to Boole: The Logical Organization of Information Decompositions. - Aaron J. Gutknecht; Abdullah Makkeh; Michael Wibral (CoRR, 2023)

Infomorphic networks: Locally learning neural networks derived from partial information decomposition. - Marcel Graetz; Abdullah Makkeh; Andreas C. Schneider; David A. Ehrlich; Viola Priesemann; Michael Wibral (CoRR, 2023)

Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation. - David A. Ehrlich; Kyle Schick-Poland; Abdullah Makkeh; Felix Lanfermann; Patricia Wollstadt; Michael Wibral (CoRR, 2023)

A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition. - Patricia Wollstadt; Sebastian Schmitt; Michael Wibral (J. Mach. Learn. Res., 2023)

A Measure of the Complexity of Neural Representations based on Partial Information Decomposition. - David A. Ehrlich; Andreas C. Schneider; Viola Priesemann; Michael Wibral; Abdullah Makkeh (Trans. Mach. Learn. Res., 2023)

Information theoretic evidence for layer- and frequency-specific changes in cortical information processing under anesthesia. - Edoardo Pinzuti; Patricia Wollstadt; Oliver Tüscher; Michael Wibral (PLoS Comput. Biol., 2023)

Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies. - Patricia Wollstadt; Daniel L. Rathbun; W. Martin Usrey; André Moraes Bastos; Michael Lindner; Viola Priesemann; Michael Wibral (PLoS Comput. Biol., 2023)

A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions. - Abdullah Makkeh; Marcel Graetz; Andreas C. Schneider; David A. Ehrlich; Viola Priesemann; Michael Wibral (GRO.data, 2024)

What should a neuron aim for? Designing local objective functions based on information theory. - Andreas Christian Schneider; Valentin Neuhaus; David Alexander Ehrlich; Abdullah Makkeh; Alexander S. Ecker; Viola Priesemann; Michael Wibral (ICLR, 2025)

Shannon invariants: A scalable approach to information decomposition. - Aaron J. Gutknecht; Fernando E. Rosas; David A. Ehrlich; Abdullah Makkeh; Pedro A. M. Mediano; Michael Wibral (CoRR, 2025)