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2020 – today
- 2024
[i26]Aria Nguyen, Oscar McMullin, Joseph T. Lizier, Ben D. Fulcher:
A feature-based information-theoretic approach for detecting interpretable, long-timescale pairwise interactions from time series. CoRR abs/2404.05929 (2024)- [i25]Mikhail Prokopenko, Paul C. W. Davies, Michael Harré, Marcus Heisler, Zdenka Kuncic, Geraint F. Lewis, Ori Livson, Joseph T. Lizier, Fernando E. Rosas:
Biological arrow of time: Emergence of tangled information hierarchies and self-modelling dynamics. CoRR abs/2409.12029 (2024) - 2023
- [j26]Oliver M. Cliff, Annie G. Bryant, Joseph T. Lizier
, Naotsugu Tsuchiya, Ben D. Fulcher:
Unifying pairwise interactions in complex dynamics. Nat. Comput. Sci. 3(10): 883-893 (2023) - [i24]Joseph T. Lizier, Frank Bauer, Fatihcan M. Atay, Jürgen Jost:
Analytic relationship of relative synchronizability to network structure and motifs. CoRR abs/2305.10509 (2023) - [i23]Pavle Cajic, Dominic Agius, Oliver M. Cliff, James M. Shine, Joseph T. Lizier, Ben D. Fulcher:
On the information-theoretic formulation of network participation. CoRR abs/2307.12556 (2023) - 2022
- [i22]Oliver M. Cliff, Joseph T. Lizier, Naotsugu Tsuchiya, Ben D. Fulcher:
Unifying Pairwise Interactions in Complex Dynamics. CoRR abs/2201.11941 (2022) - [i21]Fernando E. Rosas, Pedro A. M. Mediano, Andrea I. Luppi, Thomas F. Varley, Joseph T. Lizier, Sebastiano Stramaglia, Henrik J. Jensen, Daniele Marinazzo:
Disentangling high-order mechanisms and high-order behaviours in complex systems. CoRR abs/2203.12041 (2022) - 2021
- [j25]James M. Shine, Mike Li, Oluwasanmi Koyejo, Ben D. Fulcher, Joseph T. Lizier:
Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task. Brain Informatics 8(1): 26 (2021) - [j24]David Peter Shorten, Richard E. Spinney, Joseph T. Lizier:
Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data. PLoS Comput. Biol. 17(4) (2021) - [c14]Ruomin Zhu, Alon Loeffler, Joel Hochstetter, Adrian Diaz-Alvarez, Tomonobu Nakayama, Adam Z. Stieg, James K. Gimzewski, Joseph T. Lizier, Zdenka Kuncic:
MNIST classification using Neuromorphic Nanowire Networks. ICONS 2021: 16:1-16:4 - 2020
- [j23]Conor Finn, Joseph T. Lizier:
Generalised Measures of Multivariate Information Content. Entropy 22(2): 216 (2020) - [i20]Oliver M. Cliff, Leonardo Novelli, Ben D. Fulcher, James M. Shine, Joseph T. Lizier:
Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series. CoRR abs/2003.03887 (2020) - [i19]Leonardo Novelli, Joseph T. Lizier:
Inferring network properties from time series via transfer entropy and mutual information: validation of bivariate versus multivariate approaches. CoRR abs/2007.07500 (2020)
2010 – 2019
- 2019
- [j22]Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral:
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. J. Open Source Softw. 4(34): 1081 (2019) - [j21]Mike Li, Yinuo Han, Matthew J. Aburn, Michael Breakspear, Russell A. Poldrack, James M. Shine, Joseph T. Lizier:
Transitions in information processing dynamics at the whole-brain network level are driven by alterations in neural gain. PLoS Comput. Biol. 15(10) (2019) - [i18]Leonardo Novelli, Patricia Wollstadt, Pedro A. M. Mediano, Michael Wibral, Joseph T. Lizier:
Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing. CoRR abs/1902.06828 (2019) - [i17]Conor Finn, Joseph T. Lizier:
Generalised Measures of Multivariate Information Content. CoRR abs/1909.12166 (2019) - [i16]Leonardo Novelli, Fatihcan M. Atay, Jürgen Jost, Joseph T. Lizier:
Deriving pairwise transfer entropy from network structure and motifs. CoRR abs/1911.02931 (2019) - 2018
- [j20]Joseph T. Lizier, Michael Harré, Melanie Mitchell, Simon DeDeo, Conor Finn, Kristian Lindgren, Amanda Lizier, Hiroki Sayama:
An Interview-Based Study of Pioneering Experiences in Teaching and Learning Complex Systems in Higher Education. Complex. 2018: 7306871:1-7306871:11 (2018) - [j19]Conor Finn, Joseph T. Lizier:
Pointwise Partial Information Decomposition Using the Specificity and Ambiguity Lattices. Entropy 20(4): 297 (2018) - [j18]Joseph T. Lizier, Nils Bertschinger, Jürgen Jost, Michael Wibral:
Information Decomposition of Target Effects from Multi-Source Interactions: Perspectives on Previous, Current and Future Work. Entropy 20(4): 307 (2018) - [j17]Conor Finn, Joseph T. Lizier:
Probability Mass Exclusions and the Directed Components of Mutual Information. Entropy 20(11): 826 (2018) - [j16]Emanuele Crosato, Li Jiang, Valentin Lecheval, Joseph T. Lizier, X. Rosalind Wang, Pierre Tichit, Guy Theraulaz, Mikhail Prokopenko:
Informative and misinformative interactions in a school of fish. Swarm Intell. 12(4): 283-305 (2018) - [c13]Conor Finn, Joseph T. Lizier:
Quantifying Information Modification in Cellular Automata using Pointwise Partial Information Decomposition. ALIFE 2018: 386-387 - [i15]Conor Finn, Joseph T. Lizier:
Pointwise Information Decomposition Using the Specificity and Ambiguity Lattices. CoRR abs/1801.09010 (2018) - [i14]Conor Finn, Joseph T. Lizier:
Probability Mass Exclusions and the Directed Components of Pointwise Mutual Information. CoRR abs/1801.09223 (2018) - [i13]Richard E. Spinney, Joseph T. Lizier:
Characterising information-theoretic storage and transfer in continuous time processes. CoRR abs/1804.03269 (2018) - [i12]Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral:
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. CoRR abs/1807.10459 (2018) - 2017
- [j15]Oliver M. Cliff, Joseph T. Lizier, X. Rosalind Wang, Peter Wang, Oliver Obst, Mikhail Prokopenko:
Quantifying Long-Range Interactions and Coherent Structure in Multi-Agent Dynamics. Artif. Life 23(1): 34-57 (2017) - [j14]E. Yagmur Erten, Joseph T. Lizier, Mahendra Piraveenan, Mikhail Prokopenko:
Criticality and Information Dynamics in Epidemiological Models. Entropy 19(5): 194 (2017) - [j13]Michael Wibral, Conor Finn, Patricia Wollstadt, Joseph T. Lizier, Viola Priesemann:
Quantifying Information Modification in Developing Neural Networks via Partial Information Decomposition. Entropy 19(9): 494 (2017) - [i11]Emanuele Crosato, Li Jiang, Valentin Lecheval, Joseph T. Lizier, X. Rosalind Wang, Pierre Tichit, Guy Theraulaz, Mikhail Prokopenko:
Informative and misinformative interactions in a school of fish. CoRR abs/1705.01213 (2017) - [i10]Emanuele Crosato, Ramil Nigmatullin, Joseph T. Lizier, Mikhail Prokopenko:
Entropy production and flux during collective motion near criticality. CoRR abs/1708.04004 (2017) - [i9]Mikhail Prokopenko, Michael Harré, Joseph T. Lizier, Fabio Boschetti, Pavlos Peppas, Stuart A. Kauffman:
Self-referential basis of undecidable dynamics: from The Liar Paradox and The Halting Problem to The Edge of Chaos. CoRR abs/1711.02456 (2017) - 2016
- [b2]Terry Bossomaier, Lionel C. Barnett, Michael Harré, Joseph T. Lizier:
An Introduction to Transfer Entropy - Information Flow in Complex Systems. Springer 2016, ISBN 978-3-319-43221-2, pp. 1-190 - [i8]Richard E. Spinney, Mikhail Prokopenko, Joseph T. Lizier:
Transfer entropy in continuous time, with applications to jump and neural spiking processes. CoRR abs/1610.08192 (2016) - 2015
- [j12]Michael Wibral, Joseph T. Lizier, Viola Priesemann:
Bits from Brains for Biologically-Inspired Computing. Frontiers Robotics AI 2: 5 (2015) - [i7]Michael Wibral, Viola Priesemann, Jim W. Kay, Joseph T. Lizier, William A. Phillips:
Partial Information Decomposition as a Unified Approach to the Specification of Neural Goal Functions. CoRR abs/1510.00831 (2015) - 2014
- [j11]Michael Wibral, Joseph T. Lizier, Sebastian Vögler, Viola Priesemann, Ralf Galuske:
Local active information storage as a tool to understand distributed neural information processing. Frontiers Neuroinformatics 8: 1 (2014) - [j10]Carlos Gómez, Joseph Troy Lizier, Michael Schaum, Patricia Wollstadt, Christine Grützner, Peter Uhlhaas, Christine M. Freitag, Sabine Schlitt, Sven Bölte, Roberto Hornero, Michael Wibral:
Reduced predictable information in brain signals in autism spectrum disorder. Frontiers Neuroinformatics 8: 9 (2014) - [j9]Joseph Troy Lizier:
JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems. Frontiers Robotics AI 1: 11 (2014) - [i6]Yu Sun, Louis F. Rossi, Chien-Chung Shen, Jennifer M. Miller, X. Rosalind Wang, Joseph T. Lizier, Mikhail Prokopenko, Upul Senanayake:
Information Transfer in Swarms with Leaders. CoRR abs/1407.0007 (2014) - [i5]Joseph T. Lizier:
JIDT: An information-theoretic toolkit for studying the dynamics of complex systems. CoRR abs/1408.3270 (2014) - [i4]Michael Wibral, Joseph T. Lizier, Viola Priesemann:
Bits from Biology for Computational Intelligence. CoRR abs/1412.0291 (2014) - 2013
- [b1]Joseph T. Lizier:
The local information dynamics of distributed computation in complex systems. University of Sydney, Springer 2013, ISBN 978-3-642-32951-7, pp. 1-235 - [j8]Joseph T. Lizier, John R. Mahoney:
Moving Frames of Reference, Relativity and Invariance in Transfer Entropy and Information Dynamics. Entropy 15(1): 177-197 (2013) - [j7]Mikhail Prokopenko, Joseph T. Lizier, Don Price:
On Thermodynamic Interpretation of Transfer Entropy. Entropy 15(2): 524-543 (2013) - [c12]Joseph T. Lizier, Benjamin Flecker, Paul L. Williams:
Towards a synergy-based approach to measuring information modification. ALIFE 2013: 43-51 - [c11]Oliver M. Cliff, Joseph T. Lizier, X. Rosalind Wang, Peter Wang, Oliver Obst, Mikhail Prokopenko:
Towards Quantifying Interaction Networks in a Football Match. RoboCup 2013: 1-12 - [i3]Joseph T. Lizier, Benjamin Flecker, Paul L. Williams:
Towards a Synergy-based Approach to Measuring Information Modification. CoRR abs/1303.3440 (2013) - 2012
- [j6]Joseph T. Lizier, Mikhail Prokopenko, Albert Y. Zomaya:
Local measures of information storage in complex distributed computation. Inf. Sci. 208: 39-54 (2012) - [j5]Joseph T. Lizier, Mikhail Prokopenko, Albert Y. Zomaya:
Coherent information structure in complex computation. Theory Biosci. 131(3): 193-203 (2012) - [j4]Joschka Boedecker, Oliver Obst, Joseph T. Lizier, Norbert Michael Mayer, Minoru Asada:
Information processing in echo state networks at the edge of chaos. Theory Biosci. 131(3): 205-213 (2012) - [i2]Frank Bauer, Joseph T. Lizier:
Identifying influential spreaders. CoRR abs/1203.0502 (2012) - 2011
- [j3]Joseph T. Lizier, Siddharth Pritam, Mikhail Prokopenko:
Information Dynamics in Small-World Boolean Networks. Artif. Life 17(4): 293-314 (2011) - [j2]X. Rosalind Wang, Joseph T. Lizier, Mikhail Prokopenko:
Fisher Information at the Edge of Chaos in Random Boolean Networks. Artif. Life 17(4): 315-329 (2011) - [j1]Joseph T. Lizier, Jakob Heinzle, Annette Horstmann, John-Dylan Haynes, Mikhail Prokopenko:
Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity. J. Comput. Neurosci. 30(1): 85-107 (2011) - [c10]Joseph T. Lizier, Siddharth Pritam, Mikhail Prokopenko:
Computational capabilities of small-world Boolean networks. ECAL 2011: 462-464 - [c9]X. Rosalind Wang, Jennifer M. Miller, Joseph T. Lizier, Mikhail Prokopenko, Louis F. Rossi:
Measuring information storage and transfer in swarms. ECAL 2011: 838-845 - [c8]Rommel V. Ceguerra, Joseph T. Lizier, Albert Y. Zomaya:
Information storage and transfer in the synchronization process in locally-connected networks. ALIFE 2011: 54-61 - 2010
- [c7]X. Rosalind Wang, Joseph T. Lizier, Mikhail Prokopenko:
A Fisher Information Study of Phase Transitions in Random Boolean Networks. ALIFE 2010: 305-312
2000 – 2009
- 2009
- [c6]Joseph T. Lizier, Piraveenan Mahendra, Dany Pradhana, Mikhail Prokopenko, Larry S. Yaeger:
Functional and Structural Topologies in Evolved Neural Networks. ECAL (1) 2009: 140-147 - 2008
- [c5]Joseph T. Lizier, Mikhail Prokopenko, Ivan Tanev, Albert Y. Zomaya:
Emergence of Glider-like Structures in a Modular Robotic System. ALIFE 2008: 366-373 - [c4]Joseph T. Lizier, Mikhail Prokopenko, Albert Y. Zomaya:
The Information Dynamics of Phase Transitions in Random Boolean Networks. ALIFE 2008: 374-381 - [c3]X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, Mikhail Prokopenko, Peter Wang:
Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks. EWSN 2008: 90-105 - [i1]Joseph T. Lizier, Mikhail Prokopenko, Albert Y. Zomaya:
A framework for the local information dynamics of distributed computation in complex systems. CoRR abs/0811.2690 (2008) - 2007
- [c2]Joseph T. Lizier, Mikhail Prokopenko, Albert Y. Zomaya:
Information Transfer by Particles in Cellular Automata. ACAL 2007: 49-60 - [c1]Joseph T. Lizier, Mikhail Prokopenko, Albert Y. Zomaya:
Detecting Non-trivial Computation in Complex Dynamics. ECAL 2007: 895-904
Coauthor Index
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