Information Transfer by Particles in Cellular Automata. - Joseph T. Lizier; Mikhail Prokopenko; Albert Y. Zomaya (ACAL, 2007)

Detecting Non-trivial Computation in Complex Dynamics. - Joseph T. Lizier; Mikhail Prokopenko; Albert Y. Zomaya (ECAL, 2007)

Emergence of Glider-like Structures in a Modular Robotic System. - Joseph T. Lizier; Mikhail Prokopenko; Ivan Tanev; Albert Y. Zomaya (ALIFE, 2008)

The Information Dynamics of Phase Transitions in Random Boolean Networks. - Joseph T. Lizier; Mikhail Prokopenko; Albert Y. Zomaya (ALIFE, 2008)

Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks. - X. Rosalind Wang; Joseph T. Lizier; Oliver Obst; Mikhail Prokopenko; Peter Wang (EWSN, 2008)

A framework for the local information dynamics of distributed computation in complex systems. - Joseph T. Lizier; Mikhail Prokopenko; Albert Y. Zomaya (CoRR, 2008)

Functional and Structural Topologies in Evolved Neural Networks. - Joseph T. Lizier; Piraveenan Mahendra; Dany Pradhana; Mikhail Prokopenko; Larry S. Yaeger (ECAL (1), 2009)

A Fisher Information Study of Phase Transitions in Random Boolean Networks. - X. Rosalind Wang; Joseph T. Lizier; Mikhail Prokopenko (ALIFE, 2010)

Computational capabilities of small-world Boolean networks. - Joseph T. Lizier; Siddharth Pritam; Mikhail Prokopenko (ECAL, 2011)

Measuring information storage and transfer in swarms. - X. Rosalind Wang; Jennifer M. Miller; Joseph T. Lizier; Mikhail Prokopenko; Louis F. Rossi (ECAL, 2011)

Information storage and transfer in the synchronization process in locally-connected networks. - Rommel V. Ceguerra; Joseph T. Lizier; Albert Y. Zomaya (ALIFE, 2011)

Information Dynamics in Small-World Boolean Networks. - Joseph T. Lizier; Siddharth Pritam; Mikhail Prokopenko (Artif. Life, 2011)

Fisher Information at the Edge of Chaos in Random Boolean Networks. - X. Rosalind Wang; Joseph T. Lizier; Mikhail Prokopenko (Artif. Life, 2011)

Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity. - Joseph T. Lizier; Jakob Heinzle; Annette Horstmann; John-Dylan Haynes; Mikhail Prokopenko (J. Comput. Neurosci., 2011)

Identifying influential spreaders - Frank Bauer; Joseph T. Lizier (CoRR, 2012)

Local measures of information storage in complex distributed computation. - Joseph T. Lizier; Mikhail Prokopenko; Albert Y. Zomaya (Inf. Sci., 2012)

Information processing in echo state networks at the edge of chaos. - Joschka Boedecker; Oliver Obst; Joseph T. Lizier; Norbert Michael Mayer; Minoru Asada (Theory Biosci., 2012)

Coherent information structure in complex computation. - Joseph T. Lizier; Mikhail Prokopenko; Albert Y. Zomaya (Theory Biosci., 2012)

Towards a synergy-based approach to measuring information modification. - Joseph T. Lizier; Benjamin Flecker; Paul L. Williams (ALIFE, 2013)

Towards Quantifying Interaction Networks in a Football Match. - Oliver M. Cliff; Joseph T. Lizier; X. Rosalind Wang; Peter Wang; Oliver Obst; Mikhail Prokopenko (RoboCup, 2013)

Moving Frames of Reference, Relativity and Invariance in Transfer Entropy and Information Dynamics. - Joseph T. Lizier; John R. Mahoney (Entropy, 2013)

On Thermodynamic Interpretation of Transfer Entropy. - Mikhail Prokopenko; Joseph T. Lizier; Don Price (Entropy, 2013)

The local information dynamics of distributed computation in complex systems. - Joseph T. Lizier (Springer, 2013)

Information Transfer in Swarms with Leaders. - Yu Sun; Louis F. Rossi; Chien-Chung Shen; Jennifer M. Miller; X. Rosalind Wang; Joseph T. Lizier; Mikhail Prokopenko; Upul Senanayake (CoRR, 2014)

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

JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems. - Joseph Troy Lizier (Frontiers Robotics AI, 2014)

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)

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

An Introduction to Transfer Entropy - Information Flow in Complex Systems - Terry Bossomaier; Lionel C. Barnett; Michael Harré; Joseph T. Lizier (Springer, 2016)

Transfer entropy in continuous time, with applications to jump and neural spiking processes. - Richard E. Spinney; Mikhail Prokopenko; Joseph T. Lizier (CoRR, 2016)

Quantifying Long-Range Interactions and Coherent Structure in Multi-Agent Dynamics. - Oliver M. Cliff; Joseph T. Lizier; X. Rosalind Wang; Peter Wang; Oliver Obst; Mikhail Prokopenko (Artif. Life, 2017)

Entropy production and flux during collective motion near criticality. - Emanuele Crosato; Ramil Nigmatullin; Joseph T. Lizier; Mikhail Prokopenko (CoRR, 2017)

Self-referential basis of undecidable dynamics: from The Liar Paradox and The Halting Problem to The Edge of Chaos. - Mikhail Prokopenko; Michael Harré; Joseph T. Lizier; Fabio Boschetti; Pavlos Peppas; Stuart A. Kauffman (CoRR, 2017)

Criticality and Information Dynamics in Epidemiological Models. - E. Yagmur Erten; Joseph T. Lizier; Mahendra Piraveenan; Mikhail Prokopenko (Entropy, 2017)

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

Quantifying Information Modification in Cellular Automata using Pointwise Partial Information Decomposition. - Conor Finn; Joseph T. Lizier (ALIFE, 2018)

An Interview-Based Study of Pioneering Experiences in Teaching and Learning Complex Systems in Higher Education. - Joseph T. Lizier; Michael Harré; Melanie Mitchell; Simon DeDeo; Conor Finn; Kristian Lindgren; Amanda Lizier; Hiroki Sayama (Complex., 2018)

Pointwise Information Decomposition Using the Specificity and Ambiguity Lattices. - Conor Finn; Joseph T. Lizier (CoRR, 2018)

Probability Mass Exclusions and the Directed Components of Pointwise Mutual Information. - Conor Finn; Joseph T. Lizier (CoRR, 2018)

Characterising information-theoretic storage and transfer in continuous time processes. - Richard E. Spinney; Joseph T. Lizier (CoRR, 2018)

Pointwise Partial Information Decomposition Using the Specificity and Ambiguity Lattices. - Conor Finn; Joseph T. Lizier (Entropy, 2018)

Probability Mass Exclusions and the Directed Components of Mutual Information. - Conor Finn; Joseph T. Lizier (Entropy, 2018)

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)

Informative and misinformative interactions in a school of fish. - Emanuele Crosato; Li Jiang; Valentin Lecheval; Joseph T. Lizier; X. Rosalind Wang; Pierre Tichit; Guy Theraulaz; Mikhail Prokopenko (Swarm Intell., 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)

Deriving pairwise transfer entropy from network structure and motifs. - Leonardo Novelli; Fatihcan M. Atay; Jürgen Jost; 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)

Transitions in information processing dynamics at the whole-brain network level are driven by alterations in neural gain. - Mike Li; Yinuo Han; Matthew J. Aburn; Michael Breakspear; Russell A. Poldrack; James M. Shine; Joseph T. Lizier (PLoS Comput. Biol., 2019)

Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series. - Oliver M. Cliff; Leonardo Novelli; Ben D. Fulcher; James M. Shine; Joseph T. Lizier (CoRR, 2020)

Inferring network properties from time series via transfer entropy and mutual information: validation of bivariate versus multivariate approaches. - Leonardo Novelli; Joseph T. Lizier (CoRR, 2020)

Generalised Measures of Multivariate Information Content. - Conor Finn; Joseph T. Lizier (Entropy, 2020)

MNIST classification using Neuromorphic Nanowire Networks. - Ruomin Zhu; Alon Loeffler; Joel Hochstetter; Adrian Diaz-Alvarez; Tomonobu Nakayama; Adam Z. Stieg; James K. Gimzewski; Joseph T. Lizier; Zdenka Kuncic (ICONS, 2021)

Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task. - James M. Shine; Mike Li; Oluwasanmi Koyejo; Ben D. Fulcher; Joseph T. Lizier (Brain Informatics, 2021)

Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data. - David Peter Shorten; Richard E. Spinney; Joseph T. Lizier (PLoS Comput. Biol., 2021)

Unifying Pairwise Interactions in Complex Dynamics. - Oliver M. Cliff; Joseph T. Lizier; Naotsugu Tsuchiya; Ben D. Fulcher (CoRR, 2022)

Disentangling high-order mechanisms and high-order behaviours in complex systems. - Fernando E. Rosas; Pedro A. M. Mediano; Andrea I. Luppi; Thomas F. Varley; Joseph T. Lizier; Sebastiano Stramaglia; Henrik J. Jensen; Daniele Marinazzo (CoRR, 2022)

Analytic relationship of relative synchronizability to network structure and motifs. - Joseph T. Lizier; Frank Bauer; Fatihcan M. Atay; Jürgen Jost (CoRR, 2023)

On the information-theoretic formulation of network participation. - Pavle Cajic; Dominic Agius; Oliver M. Cliff; James M. Shine; Joseph T. Lizier; Ben D. Fulcher (CoRR, 2023)

Unifying pairwise interactions in complex dynamics. - Oliver M. Cliff; Annie G. Bryant; Joseph T. Lizier; Naotsugu Tsuchiya; Ben D. Fulcher (Nat. Comput. Sci., 2023)

A feature-based information-theoretic approach for detecting interpretable, long-timescale pairwise interactions from time series. - Aria Nguyen; Oscar McMullin; Joseph T. Lizier; Ben D. Fulcher (CoRR, 2024)

Biological arrow of time: Emergence of tangled information hierarchies and self-modelling dynamics. - Mikhail Prokopenko; Paul C. W. Davies; Michael Harré; Marcus Heisler; Zdenka Kuncic; Geraint F. Lewis; Ori Livson; Joseph T. Lizier; Fernando E. Rosas (CoRR, 2024)

Unifying concepts in information-theoretic time-series analysis. - Annie G. Bryant; Oliver M. Cliff; James M. Shine; Ben D. Fulcher; Joseph T. Lizier (CoRR, 2025)

Cross Mutual Information. - Chetan Gohil; Oliver M. Cliff; James M. Shine; Ben D. Fulcher; Joseph T. Lizier (CoRR, 2025)