Dr Joseph Lizier

Ph.D.
ARC DECRA Fellow
Senior Lecturer in Complex Systems
School of Civil Engineering

J12 - The School of Information Technologies
The University of Sydney

Telephone +61 2 9351 3208

Website Centre for Complex Systems

Research Cluster on Complex Systems

Personal homepage (CV and publications)

Biographical details

Dr. Joseph Lizier is an ARC DECRA fellow, and Senior Lecturer in Complex Systems in the Faculty of Engineering and IT (since 2015). Previously he was a Research Scientist and Postdoctoral Fellow at CSIRO ICT Centre (Sydney, 2012-14), and a Postdoctoral Researcher at the Max Planck Institute for Mathematics in the Sciences (Leipzig, Germany, 2010-12). He has also worked as a Research Engineer in the telecommunications industry for 10 years, including at Seeker Wireless (2006-2010) and Telstra Research Laboratories (2001-2006). He obtained a PhD in Computer Science (2010), and Bachelor degrees in Electrical Engineering (2001) and Science (1999), from The University of Sydney.

Research interests

Dr. Lizier studies how biological and bio-inspired systems process information.

"We examine complex systems - systems made up of a large number of small entities, whose local interactions produce emergent behaviour at the system level. Classic examples are the emergence of consciousness from billions of interactions between neurons, or shock-wave traffic jams emerging from the interaction of many cars."

"In particular, I'm interested how information is processed in these complex systems. This is because the interactions between entities in these systems can be characterised in a generic way -- information-theoretically -- as information transfer. Our work provides 'information sunglasses' that reveal spatiotemporal information flows, showing us how collective decisions are made in a that can be applied across many fields - from brain imaging analysis to financial market interactions, and beyond. In a neuroscience setting for example, we can map the neural information networks that underpin cognitive tasks, as well as revealing locations of information processing deficiencies associated with brain disorders."

"At the moment, I'm particularly interested in how the structure of a complex network -- the topology of how the entities are connected to one-another -- effects how that network is able to process information. For example, we see 'small-world' structures in many places in natural and man-made systems (e.g. both in neural networks and in your social network on Facebook) -- what are the information processing properties that make this type of network structure special?"

Research fields

  • Complex systems
  • Complex networks
  • Information theory
  • Natural information processing
  • Computational neuroscience
  • Artificial Life

Teaching and supervision

CSYS5030 Self-Organisation and Criticality (2017-) co-teaching

CSYS5010 Introduction to Complex Systems (2017-) co-teaching

PMGT5875 Project Innovation Management (2015, 2016)

PMGT3851 Project Management Capstone Project B (2016 - Semester 2)

Current research students

Project title Research student
Information Dynamics and Guided Self-Organisation of Collective Motion Emanuele CROSATO

Current projects

ARC DECRA (2016-19): "Relating complex network structure to function using information theory"

ARC Discovery (2016-19): "Large-scale computational modelling of epidemics in Australia: analysis, prediction and mitigation"; with M. Prokopenko, P. Pattison, M. Gambhir and M. Piraveenan

Universities Australia / German Academic Exchange Service (DAAD, 2016-17): "Measuring neural information synthesis and its impairment"; with M. Wibral and V. Priesemann (Germany)

Awards and honours

  • Faculty of Engineering and IT Dean's Award for Outstanding Teaching Innovation, 2017
  • DSTO Award for Best Early Career Researcher Oral Presentation at Australian Workshop on Computational Neuroscience (2014)
  • CSIRO ICT Centre Young Scientist of the Year award (2013)
  • Best Paper award at IEEE Symposium on Artificial Life (2011, 2013)
  • Best Paper award at RoboCup'2013 Symposium (2013)
  • Springer Thesis prize (2012)
  • Honourable Mention in CORE Doctoral Dissertation awards for most outstanding computer science Ph.D. thesis in Australia (2010).
  • University Medal in Electrical Engineering (2000)

Organising committee memberships:

  • IEEE Symposium on ALife (IEEE ALife) 2017 (chair), 2015;
  • Workshop on Methods of Information Theory in Computational Neuroscience (satellite of CNS*2016,2017), 2017 (chair), 2016 (chair),
  • Information Processing in Cognition (IPCog-2013) -- co-chair;
  • Symposium on Non-linear and model-free Interdependence Measures in Neuroscience 2012;
  • Guided Self-Organisation (GSO) 2012.

International collaboration


    Domestic collaboration


      Industry engagement

        Themes

        Complex systems

        International links

        Germany

        (JW Goethe University) Joint project with Prof. Michael Wibral, "Measuring neural information synthesis and its impairment", funded under Universities Australia / German Academic Exchange Service (DAAD) Australia-Germany Joint Research Cooperation Scheme

        Selected grants

        2017

        • CRISIS: Crisis Response in Interdependent Social-Infrastructure Systems; Prokopenko M, Altmann E, Bunker D, Fletcher R, Lizier J, Nigmatullin R, Miles R, Penny D, Sarkar S, Sleigh A; DVC Research/Sydney Research Excellence Initiative 2020 (SREI).

        2016

        • Large-scale computational modelling of epidemics in Australia; Prokopenko M, Pattison P, Gambhir M, Lizier J, Piraveenan M; Australian Research Council (ARC)/Discovery Projects (DP).
        • Measuring neural information synthesis and its impairment.; Lizier J, Wibral M; Universities Australia/Germany Joint Research Co-operation scheme.
        • Relating function of complex networks to structure using information theory; Lizier J; Australian Research Council (ARC)/Discovery Early Career Researcher Award (DECRA).

        Selected publications

        Download citations: PDF RTF Endnote

        Books

        • Bossomaier, T., Barnett, L., Harre, M., Lizier, J. (2016). An Introduction to Transfer Entropy: Information Flow in Complex Systems. Cham: Springer. [More Information]
        • Lizier, J. (2013). The Local Information Dynamics of Distributed Computation in Complex Systems. Berlin: Springer-Verlag. [More Information]

        Edited Books

        • Wibral, M., Vicente, R., Lizier, J. (2014). Understanding Complex Systems Series: Directed Information Measures in Neuroscience. Berlin/Heidelberg: Springer-Verlag.

        Book Chapters

        • Wibral, M., Lizier, J., Priesemann, V. (2017). Bits from Brains: Analyzing Distributed Computation in Neural Systems. In Sara I. Walker, Paul C. W. Davies, George F. R. Ellis (Eds.), From Matter to Life: Information and Causality, (pp. 429-467). Cambridge: Cambridge University Press. [More Information]
        • Lizier, J., Prokopenko, M., Zomaya, A. (2014). A Framework for the Local Information Dynamics of Distributed Computation in Complex Systems. In Mikhail Prokopenko (Eds.), Guided Self-Organization: Inception, (pp. 115-158). Berlin, Germany: Springer-Verlag. [More Information]
        • Miller, J., Wang, R., Lizier, J., Prokopenko, M., Rossi, L. (2014). Measuring Information Dynamics in Swarms. In Mikhail Prokopenko (Eds.), Guided Self-Organization: Inception, (pp. 343-364). Berlin, Germany: Springer-Verlag. [More Information]
        • Lizier, J. (2014). Measuring the Dynamics of Information Processing on a Local Scale in Time and Space. In Michael Wibral, Raul Vicente, Joseph T. Lizier (Eds.), Understanding Complex Systems Series: Directed Information Measures in Neuroscience, (pp. 161-193). Berlin/Heidelberg: Springer-Verlag.

        Journals

        • Erten, Y., Lizier, J., Piraveenan, M., Prokopenko, M. (2017). Criticality and information dynamics in epidemiological models. Entropy, 19(5), 1-11. [More Information]
        • Brodski-Guerniero, A., Paasch, G., Wollstadt, P., Ozdemir, I., Lizier, J., Wibral, M. (2017). Information-Theoretic Evidence for Predictive Coding in the Face-Processing System. The Journal of Neuroscience, 37(34), 8273-8283. [More Information]
        • Wibral, M., Priesemann, V., Kay, J., Lizier, J., Phillips, W. (2017). Partial Information Decomposition as a Unified Approach to the Specification of Neural Goal Functions. Brain and Cognition, 112, 25-38. [More Information]
        • Wibral, M., Finn, C., Wollstadt, P., Lizier, J., Priesemann, V. (2017). Quantifying Information Modification in Developing Neural Networks via Partial Information Decomposition. Entropy, 19(9), 1-16. [More Information]
        • Cliff, O., Lizier, J., Wang, R., Wang, P., Obst, O., Prokopenko, M. (2017). Quantifying Long-Range Interactions and Coherent Structure in Multi-Agent Dynamics. Artificial Life, 23(1), 34-57. [More Information]
        • Spinney, R., Prokopenko, M., Lizier, J. (2017). Transfer entropy in continuous time, with applications to jump and neural spiking processes. Physical Review E, 95(3), 1-21. [More Information]
        • Spinney, R., Lizier, J., Prokopenko, M. (2016). Transfer entropy in physical systems and the arrow of time. Physical Review E, 94(2), 1-15. [More Information]
        • Wibral, M., Lizier, J., Priesemann, V. (2015). Bits from brains for biologically inspired computation. Frontiers in Robotics and AI, 2, 1-25. [More Information]
        • Prokopenko, M., Barnett, L., Harre, M., Lizier, J., Obst, O., Wang, X. (2015). Fisher Transfer Entropy: Quantifying the gain in transient sensitivity. Proceedings of the Royal Society A, 471(2184), 1-14. [More Information]
        • Wang, X., Lizier, J., Nowotny, T., Berna, A., Prokopenko, M., Trowell, S. (2014). Feature selection for chemical sensor arrays using mutual information. PloS One, 9(3), 1-17. [More Information]
        • Lizier, J. (2014). JIDT: An information-theoretic toolkit for studying the dynamics of complex systems. Frontiers in Robotics and AI, 1(11:1), 11:20. [More Information]
        • Wibral, M., Lizier, J., Vogler, S., Priesemann, V., Galuske, R. (2014). Local active information storage as a tool to understand distributed neural information processing. Frontiers in Neuroinformatics, 8, 1-11. [More Information]
        • Gomez, C., Lizier, J., Schaum, M., Wollstadt, P., Grutzner, C., Uhlhaas, P., Freitag, C., Schllitt, S., Bolte, S., Hornero, R., et al (2014). Reduced predictable information in brain signals in autism spectrum disorder. Frontiers in Neuroinformatics, 8, 9:1-9:12. [More Information]
        • Prokopenko, M., Lizier, J. (2014). Transfer entropy and transient limits of computation. Scientific Reports, 4, 1-7. [More Information]
        • Cupac, V., Lizier, J., Prokopenko, M. (2013). Comparing dynamics of cascading failures between network-centric and power flow models. Electrical Power and Energy Systems, 49(1), 369-379. [More Information]
        • Barnett, L., Lizier, J., Harre, M., Seth, A., Bossomaier, T. (2013). Information Flow in a Kinetic Ising Model Peaks in the Disordered Phase. Physical Review Letters, 111(17), 1-4. [More Information]
        • Wibral, M., Pampu, N., Priesemann, V., Siebenhuhner, F., Seiwert, H., Lindner, M., Lizier, J., Vicente, R. (2013). Measuring Information-Transfer Delays. PloS One, 8(2), 1-19. [More Information]
        • Lizier, J., Mahoney, J. (2013). Moving Frames of Reference, Relativity and Invariance in Transfer Entropy and Information Dynamics. Entropy, 15(1), 177-197. [More Information]
        • Prokopenko, M., Lizier, J., Price, D. (2013). On thermodynamic interpretation of transfer entropy. Entropy, 15(2), 524-543. [More Information]
        • Lizier, J., Prokopenko, M., Zomaya, A. (2012). Coherent information structure in complex computation. Theory in Biosciences, 131(3), 193-203. [More Information]
        • Bauer, F., Lizier, J. (2012). Identifying influential spreaders and efficiently estimating infection numbers in epidemic models: A walk counting approach. EPL, 99(6), 68007-p1-68007-p6. [More Information]
        • Boedecker, J., Obst, O., Lizier, J., Mayer, N., Asada, M. (2012). Information processing in echo state networks at the edge of chaos. Theory in Biosciences, 131(3), 205-213. [More Information]
        • Lizier, J., Atay, F., Jost, J. (2012). Information storage, loop motifs and clustered structure in complex networks. Physical Review E, 86, 026110:1-026110:5. [More Information]
        • Lizier, J., Prokopenko, M., Zomaya, A. (2012). Local measures of information storage in complex distributed computation. Information Sciences, 208(2012), 39-54. [More Information]
        • Wang, X., Miller, J., Lizier, J., Prokopenko, M., Rossi, L. (2012). Quantifying and Tracing Information Cascades in Swarms. PloS One, 7(7), 1-7. [More Information]
        • Wang, X., Lizier, J., Prokopenko, M. (2011). Fisher information at the edge of chaos in random boolean networks. Artificial Life, 17(4), 315-329. [More Information]
        • Lizier, J., Pritam, S., Prokopenko, M. (2011). Information dynamics in small-world boolean networks. Artificial Life, 17(4), 293-314. [More Information]
        • Lizier, J., Heinzle, J., Horstmann, A., Haynes, J., Prokopenko, M. (2011). Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity. Journal of Computational Neuroscience, 30(1), 85-107. [More Information]
        • Prokopenko, M., Lizier, J., Obst, O., Wang, X. (2011). Relating Fisher information to order parameters. Physical Review E, 84(4), 1-10. [More Information]
        • Lizier, J., Prokopenko, M. (2010). Differentiating Information Transfer and Causal Effect. European Physical Journal B, 73(4), 605-615. [More Information]
        • Lizier, J., Prokopenko, M., Zomaya, A. (2010). Information modification and particle collisions in distributed computation. Chaos, 20(3), 1-13. [More Information]
        • Lizier, J., Prokopenko, M., Zomaya, A. (2008). Local information transfer as a spatiotemporal filter for complex systems. Physical Review E, 77(2), 026110-1-026110-11. [More Information]
        • Town, G., Lizier, J. (2001). Splice Losses in Holey Optical Fibers. IEEE Photonics Technology Letters, 13(8), 794-796. [More Information]
        • Brand, G., Lizier, J. (2000). Bragg Scattering of Surface Waves by a Photo-Induced Array. Journal of Infrared, Millimeter and Terahertz Waves, 21(5), 717-724. [More Information]

        Conferences

        • Lizier, J., Spinney, R., Rubinov, M., Wibral, M., Priesemann, V. (2016). A nearest-neighbours based estimator for transfer entropy between spike trains. 25th Annual Computational Neuroscience Meeting (CNS 2016). BMC Neuroscience. [More Information]
        • Rudelt, L., Lizier, J., Priesemann, V. (2016). Influences of embedding and estimation strategies on the inferred memory of single spiking neurons. 25th Annual Computational Neuroscience Meeting (CNS 2016). BMC Neuroscience. [More Information]
        • Wibral, M., Phillips, W., Lizier, J., Priesemann, V. (2015). Partial information decomposition as a unified approach to the characterization and design of neural goal functions. 24th Annual Computational Neuroscience Meeting (CNS 2015). BMC Neuroscience. [More Information]
        • Priesemann, V., Lizier, J., Wibral, M., Bullmore, E., Paulsen, O., Charlesworth, P., Schröter, M. (2015). Self-organization of information processing in developing neuronal networks. 24th Annual Computational Neuroscience Meeting (CNS 2015). BMC Neuroscience. [More Information]
        • Nowotny, T., Berna, A., Binions, R., Wang, X., Lizier, J., Prokopenko, M., Trowell, S. (2014). Feature selection in Enose applications. 1st International Workshop on Odor Spaces, United Kingdom: BioMed Central. [More Information]
        • Sun, Y., Rossi, L., Shen, C., Miller, J., Wang, X., Lizier, J., Prokopenko, M., Senanayake, U. (2014). Information Transfer in Swarms with Leaders. Collective Intelligence Conference 2014, Cambridge, USA: Collective Intelligence 2014.
        • Cliff, O., Lizier, J., Wang, R., Wang, P., Obst, O., Prokopenko, M. (2014). Towards Quantifying Interaction Networks in a Football Match. RoboCup 2013: Robot World Cup XVII: 17th RoboCup International Symposium, Berlin, Heidelberg: Springer Verlag. [More Information]
        • Lizier, J., Rubinov, M. (2013). Inferring effective computational connectivity using incrementally conditioned multivariate transfer entropy. Twenty Second Annual Computational Neuroscience Meeting: CNS*2013, United Kingdom: BioMed Central. [More Information]
        • Lizier, J., Flecker, B., Williams, P. (2013). Towards a Synergy-based Approach to Measuring Information Modification. 2013 IEEE Symposium on Artificial Life (ALife), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
        • Lizier, J., Pritam, S., Prokopenko, M. (2011). Computational capabilities of small-world Boolean networks. The Eleventh European Conference on the Synthesis and Simulation of Living Systems (ECAL 2011), Cambridge, Massachusetts: Massachusetts Institute of Technology.
        • Lizier, J., Piraveenan, M., Pradhana, D., Prokopenko, M., Yaeger, L. (2011). Functional and structural topologies in evolved neural networks. 10th European Conference of Artificial Life, ECAL 2009, Berlin, Heidelberg: Springer. [More Information]
        • Ceguerra, R., Lizier, J., Zomaya, A. (2011). Information storage and transfer in the synchronization process in locally-connected networks. 2011 IEEE Symposium on Artificial Life, Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
        • Rubinov, M., Lizier, J., Prokopenko, M., Breakspear, M. (2011). Maximized directed information transfer in critical neuronal networks. 12th Annual Computational Neuroscience Meeting, Stockholm: BioMed Central Ltd. [More Information]
        • Wang, X., Miller, J., Lizier, J., Prokopenko, M., Rossi, L. (2011). Measuring Information Storage and Transfer in Swarms. The Eleventh European Conference on the Synthesis and Simulation of Living Systems (ECAL 2011), Cambridge, Massachusetts: Massachusetts Institute of Technology.
        • Lizier, J., Heinzle, J., Soon, C., Haynes, J., Prokopenko, M. (2011). Spatiotemporal information transfer pattern differences in motor selection. 12th Annual Computational Neuroscience Meeting, Stockholm: BioMed Central Ltd. [More Information]
        • Wang, X., Lizier, J., Prokopenko, M. (2010). A Fisher Information Study of Phase Transitions in Random Boolean Networks. The Twelfth International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2010, Denmark: MIT Press.
        • Lizier, J., Haynes, J., Heinzle, J., Prokopenko, M. (2009). Directed information structure in inter-regional cortical interactions in a visuomotor tracking task. 12th Annual Computational Neuroscience Meeting, Stockholm: BioMed Central Ltd. [More Information]
        • Lizier, J., Prokopenko, M., Cornforth, D. (2009). The information dynamics of cascading failures in energy networks. European Conference on Complex Systems 2009 (ECCS’09), Warwick, United Kingdom: European Conference on Complex Systems.
        • Lizier, J., Prokopenko, M., Tanev, I., Zomaya, A. (2008). Emergence of Glider-like Structures in a Modular Robotic System. Eleventh International Conference on the Simulation and Synthesis of Living Systems (ALIFE XI), Cambridge, Massachusetts & London, UK: The MIT Press.
        • Wang, X., Lizier, J., Obst, O., Prokopenko, M., Wang, P. (2008). Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks. 5th European Conference on Wireless Sensor Networks (EWSN 2008), Germany: Springer. [More Information]
        • Lizier, J., Prokopenko, M., Zomaya, A. (2008). The Information Dynamics of Phase Transitions in Random Boolean Networks. Eleventh International Conference on the Simulation and Synthesis of Living Systems (ALIFE XI), Cambridge, Massachusetts & London, UK: The MIT Press.
        • Lizier, J., Prokopenko, M., Zomaya, A. (2007). Detecting Non-trivial Computation in Complex Dynamics. 9th European Conference on Artificial Life ECAL 2007, Germany: Springer. [More Information]
        • Lizier, J., Prokopenko, M., Zomaya, A. (2007). Information Transfer by Particles in Cellular Automata. Third Australian Conference on Artificial Life (ACAL 2007), Berlin, Germany: Springer. [More Information]
        • Lizier, J., Dawson, T. (2005). On the Periodicity of Time-series Network and Service Metrics. Tencon 2005 - 2005 IEEE Region 10, Melbourne: Swinburne Press. [More Information]
        • Town, G., Lizier, J. (2001). Splite losses in holey optical fibres. OECC/IOOC 2001 Conference, : UNSW Australian Defence Force Academy.

        2017

        • Wibral, M., Lizier, J., Priesemann, V. (2017). Bits from Brains: Analyzing Distributed Computation in Neural Systems. In Sara I. Walker, Paul C. W. Davies, George F. R. Ellis (Eds.), From Matter to Life: Information and Causality, (pp. 429-467). Cambridge: Cambridge University Press. [More Information]
        • Erten, Y., Lizier, J., Piraveenan, M., Prokopenko, M. (2017). Criticality and information dynamics in epidemiological models. Entropy, 19(5), 1-11. [More Information]
        • Brodski-Guerniero, A., Paasch, G., Wollstadt, P., Ozdemir, I., Lizier, J., Wibral, M. (2017). Information-Theoretic Evidence for Predictive Coding in the Face-Processing System. The Journal of Neuroscience, 37(34), 8273-8283. [More Information]
        • Wibral, M., Priesemann, V., Kay, J., Lizier, J., Phillips, W. (2017). Partial Information Decomposition as a Unified Approach to the Specification of Neural Goal Functions. Brain and Cognition, 112, 25-38. [More Information]
        • Wibral, M., Finn, C., Wollstadt, P., Lizier, J., Priesemann, V. (2017). Quantifying Information Modification in Developing Neural Networks via Partial Information Decomposition. Entropy, 19(9), 1-16. [More Information]
        • Cliff, O., Lizier, J., Wang, R., Wang, P., Obst, O., Prokopenko, M. (2017). Quantifying Long-Range Interactions and Coherent Structure in Multi-Agent Dynamics. Artificial Life, 23(1), 34-57. [More Information]
        • Spinney, R., Prokopenko, M., Lizier, J. (2017). Transfer entropy in continuous time, with applications to jump and neural spiking processes. Physical Review E, 95(3), 1-21. [More Information]

        2016

        • Lizier, J., Spinney, R., Rubinov, M., Wibral, M., Priesemann, V. (2016). A nearest-neighbours based estimator for transfer entropy between spike trains. 25th Annual Computational Neuroscience Meeting (CNS 2016). BMC Neuroscience. [More Information]
        • Bossomaier, T., Barnett, L., Harre, M., Lizier, J. (2016). An Introduction to Transfer Entropy: Information Flow in Complex Systems. Cham: Springer. [More Information]
        • Rudelt, L., Lizier, J., Priesemann, V. (2016). Influences of embedding and estimation strategies on the inferred memory of single spiking neurons. 25th Annual Computational Neuroscience Meeting (CNS 2016). BMC Neuroscience. [More Information]
        • Spinney, R., Lizier, J., Prokopenko, M. (2016). Transfer entropy in physical systems and the arrow of time. Physical Review E, 94(2), 1-15. [More Information]

        2015

        • Wibral, M., Lizier, J., Priesemann, V. (2015). Bits from brains for biologically inspired computation. Frontiers in Robotics and AI, 2, 1-25. [More Information]
        • Prokopenko, M., Barnett, L., Harre, M., Lizier, J., Obst, O., Wang, X. (2015). Fisher Transfer Entropy: Quantifying the gain in transient sensitivity. Proceedings of the Royal Society A, 471(2184), 1-14. [More Information]
        • Wibral, M., Phillips, W., Lizier, J., Priesemann, V. (2015). Partial information decomposition as a unified approach to the characterization and design of neural goal functions. 24th Annual Computational Neuroscience Meeting (CNS 2015). BMC Neuroscience. [More Information]
        • Priesemann, V., Lizier, J., Wibral, M., Bullmore, E., Paulsen, O., Charlesworth, P., Schröter, M. (2015). Self-organization of information processing in developing neuronal networks. 24th Annual Computational Neuroscience Meeting (CNS 2015). BMC Neuroscience. [More Information]

        2014

        • Lizier, J., Prokopenko, M., Zomaya, A. (2014). A Framework for the Local Information Dynamics of Distributed Computation in Complex Systems. In Mikhail Prokopenko (Eds.), Guided Self-Organization: Inception, (pp. 115-158). Berlin, Germany: Springer-Verlag. [More Information]
        • Wang, X., Lizier, J., Nowotny, T., Berna, A., Prokopenko, M., Trowell, S. (2014). Feature selection for chemical sensor arrays using mutual information. PloS One, 9(3), 1-17. [More Information]
        • Nowotny, T., Berna, A., Binions, R., Wang, X., Lizier, J., Prokopenko, M., Trowell, S. (2014). Feature selection in Enose applications. 1st International Workshop on Odor Spaces, United Kingdom: BioMed Central. [More Information]
        • Sun, Y., Rossi, L., Shen, C., Miller, J., Wang, X., Lizier, J., Prokopenko, M., Senanayake, U. (2014). Information Transfer in Swarms with Leaders. Collective Intelligence Conference 2014, Cambridge, USA: Collective Intelligence 2014.
        • Lizier, J. (2014). JIDT: An information-theoretic toolkit for studying the dynamics of complex systems. Frontiers in Robotics and AI, 1(11:1), 11:20. [More Information]
        • Wibral, M., Lizier, J., Vogler, S., Priesemann, V., Galuske, R. (2014). Local active information storage as a tool to understand distributed neural information processing. Frontiers in Neuroinformatics, 8, 1-11. [More Information]
        • Miller, J., Wang, R., Lizier, J., Prokopenko, M., Rossi, L. (2014). Measuring Information Dynamics in Swarms. In Mikhail Prokopenko (Eds.), Guided Self-Organization: Inception, (pp. 343-364). Berlin, Germany: Springer-Verlag. [More Information]
        • Lizier, J. (2014). Measuring the Dynamics of Information Processing on a Local Scale in Time and Space. In Michael Wibral, Raul Vicente, Joseph T. Lizier (Eds.), Understanding Complex Systems Series: Directed Information Measures in Neuroscience, (pp. 161-193). Berlin/Heidelberg: Springer-Verlag.
        • Gomez, C., Lizier, J., Schaum, M., Wollstadt, P., Grutzner, C., Uhlhaas, P., Freitag, C., Schllitt, S., Bolte, S., Hornero, R., et al (2014). Reduced predictable information in brain signals in autism spectrum disorder. Frontiers in Neuroinformatics, 8, 9:1-9:12. [More Information]
        • Cliff, O., Lizier, J., Wang, R., Wang, P., Obst, O., Prokopenko, M. (2014). Towards Quantifying Interaction Networks in a Football Match. RoboCup 2013: Robot World Cup XVII: 17th RoboCup International Symposium, Berlin, Heidelberg: Springer Verlag. [More Information]
        • Prokopenko, M., Lizier, J. (2014). Transfer entropy and transient limits of computation. Scientific Reports, 4, 1-7. [More Information]
        • Wibral, M., Vicente, R., Lizier, J. (2014). Understanding Complex Systems Series: Directed Information Measures in Neuroscience. Berlin/Heidelberg: Springer-Verlag.

        2013

        • Cupac, V., Lizier, J., Prokopenko, M. (2013). Comparing dynamics of cascading failures between network-centric and power flow models. Electrical Power and Energy Systems, 49(1), 369-379. [More Information]
        • Lizier, J., Rubinov, M. (2013). Inferring effective computational connectivity using incrementally conditioned multivariate transfer entropy. Twenty Second Annual Computational Neuroscience Meeting: CNS*2013, United Kingdom: BioMed Central. [More Information]
        • Barnett, L., Lizier, J., Harre, M., Seth, A., Bossomaier, T. (2013). Information Flow in a Kinetic Ising Model Peaks in the Disordered Phase. Physical Review Letters, 111(17), 1-4. [More Information]
        • Wibral, M., Pampu, N., Priesemann, V., Siebenhuhner, F., Seiwert, H., Lindner, M., Lizier, J., Vicente, R. (2013). Measuring Information-Transfer Delays. PloS One, 8(2), 1-19. [More Information]
        • Lizier, J., Mahoney, J. (2013). Moving Frames of Reference, Relativity and Invariance in Transfer Entropy and Information Dynamics. Entropy, 15(1), 177-197. [More Information]
        • Prokopenko, M., Lizier, J., Price, D. (2013). On thermodynamic interpretation of transfer entropy. Entropy, 15(2), 524-543. [More Information]
        • Lizier, J. (2013). The Local Information Dynamics of Distributed Computation in Complex Systems. Berlin: Springer-Verlag. [More Information]
        • Lizier, J., Flecker, B., Williams, P. (2013). Towards a Synergy-based Approach to Measuring Information Modification. 2013 IEEE Symposium on Artificial Life (ALife), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]

        2012

        • Lizier, J., Prokopenko, M., Zomaya, A. (2012). Coherent information structure in complex computation. Theory in Biosciences, 131(3), 193-203. [More Information]
        • Bauer, F., Lizier, J. (2012). Identifying influential spreaders and efficiently estimating infection numbers in epidemic models: A walk counting approach. EPL, 99(6), 68007-p1-68007-p6. [More Information]
        • Boedecker, J., Obst, O., Lizier, J., Mayer, N., Asada, M. (2012). Information processing in echo state networks at the edge of chaos. Theory in Biosciences, 131(3), 205-213. [More Information]
        • Lizier, J., Atay, F., Jost, J. (2012). Information storage, loop motifs and clustered structure in complex networks. Physical Review E, 86, 026110:1-026110:5. [More Information]
        • Lizier, J., Prokopenko, M., Zomaya, A. (2012). Local measures of information storage in complex distributed computation. Information Sciences, 208(2012), 39-54. [More Information]
        • Wang, X., Miller, J., Lizier, J., Prokopenko, M., Rossi, L. (2012). Quantifying and Tracing Information Cascades in Swarms. PloS One, 7(7), 1-7. [More Information]

        2011

        • Lizier, J., Pritam, S., Prokopenko, M. (2011). Computational capabilities of small-world Boolean networks. The Eleventh European Conference on the Synthesis and Simulation of Living Systems (ECAL 2011), Cambridge, Massachusetts: Massachusetts Institute of Technology.
        • Wang, X., Lizier, J., Prokopenko, M. (2011). Fisher information at the edge of chaos in random boolean networks. Artificial Life, 17(4), 315-329. [More Information]
        • Lizier, J., Piraveenan, M., Pradhana, D., Prokopenko, M., Yaeger, L. (2011). Functional and structural topologies in evolved neural networks. 10th European Conference of Artificial Life, ECAL 2009, Berlin, Heidelberg: Springer. [More Information]
        • Lizier, J., Pritam, S., Prokopenko, M. (2011). Information dynamics in small-world boolean networks. Artificial Life, 17(4), 293-314. [More Information]
        • Ceguerra, R., Lizier, J., Zomaya, A. (2011). Information storage and transfer in the synchronization process in locally-connected networks. 2011 IEEE Symposium on Artificial Life, Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
        • Rubinov, M., Lizier, J., Prokopenko, M., Breakspear, M. (2011). Maximized directed information transfer in critical neuronal networks. 12th Annual Computational Neuroscience Meeting, Stockholm: BioMed Central Ltd. [More Information]
        • Wang, X., Miller, J., Lizier, J., Prokopenko, M., Rossi, L. (2011). Measuring Information Storage and Transfer in Swarms. The Eleventh European Conference on the Synthesis and Simulation of Living Systems (ECAL 2011), Cambridge, Massachusetts: Massachusetts Institute of Technology.
        • Lizier, J., Heinzle, J., Horstmann, A., Haynes, J., Prokopenko, M. (2011). Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity. Journal of Computational Neuroscience, 30(1), 85-107. [More Information]
        • Prokopenko, M., Lizier, J., Obst, O., Wang, X. (2011). Relating Fisher information to order parameters. Physical Review E, 84(4), 1-10. [More Information]
        • Lizier, J., Heinzle, J., Soon, C., Haynes, J., Prokopenko, M. (2011). Spatiotemporal information transfer pattern differences in motor selection. 12th Annual Computational Neuroscience Meeting, Stockholm: BioMed Central Ltd. [More Information]

        2010

        • Wang, X., Lizier, J., Prokopenko, M. (2010). A Fisher Information Study of Phase Transitions in Random Boolean Networks. The Twelfth International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2010, Denmark: MIT Press.
        • Lizier, J., Prokopenko, M. (2010). Differentiating Information Transfer and Causal Effect. European Physical Journal B, 73(4), 605-615. [More Information]
        • Lizier, J., Prokopenko, M., Zomaya, A. (2010). Information modification and particle collisions in distributed computation. Chaos, 20(3), 1-13. [More Information]

        2009

        • Lizier, J., Haynes, J., Heinzle, J., Prokopenko, M. (2009). Directed information structure in inter-regional cortical interactions in a visuomotor tracking task. 12th Annual Computational Neuroscience Meeting, Stockholm: BioMed Central Ltd. [More Information]
        • Lizier, J., Prokopenko, M., Cornforth, D. (2009). The information dynamics of cascading failures in energy networks. European Conference on Complex Systems 2009 (ECCS’09), Warwick, United Kingdom: European Conference on Complex Systems.

        2008

        • Lizier, J., Prokopenko, M., Tanev, I., Zomaya, A. (2008). Emergence of Glider-like Structures in a Modular Robotic System. Eleventh International Conference on the Simulation and Synthesis of Living Systems (ALIFE XI), Cambridge, Massachusetts & London, UK: The MIT Press.
        • Lizier, J., Prokopenko, M., Zomaya, A. (2008). Local information transfer as a spatiotemporal filter for complex systems. Physical Review E, 77(2), 026110-1-026110-11. [More Information]
        • Wang, X., Lizier, J., Obst, O., Prokopenko, M., Wang, P. (2008). Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks. 5th European Conference on Wireless Sensor Networks (EWSN 2008), Germany: Springer. [More Information]
        • Lizier, J., Prokopenko, M., Zomaya, A. (2008). The Information Dynamics of Phase Transitions in Random Boolean Networks. Eleventh International Conference on the Simulation and Synthesis of Living Systems (ALIFE XI), Cambridge, Massachusetts & London, UK: The MIT Press.

        2007

        • Lizier, J., Prokopenko, M., Zomaya, A. (2007). Detecting Non-trivial Computation in Complex Dynamics. 9th European Conference on Artificial Life ECAL 2007, Germany: Springer. [More Information]
        • Lizier, J., Prokopenko, M., Zomaya, A. (2007). Information Transfer by Particles in Cellular Automata. Third Australian Conference on Artificial Life (ACAL 2007), Berlin, Germany: Springer. [More Information]

        2005

        • Lizier, J., Dawson, T. (2005). On the Periodicity of Time-series Network and Service Metrics. Tencon 2005 - 2005 IEEE Region 10, Melbourne: Swinburne Press. [More Information]

        2001

        • Town, G., Lizier, J. (2001). Splice Losses in Holey Optical Fibers. IEEE Photonics Technology Letters, 13(8), 794-796. [More Information]
        • Town, G., Lizier, J. (2001). Splite losses in holey optical fibres. OECC/IOOC 2001 Conference, : UNSW Australian Defence Force Academy.

        2000

        • Brand, G., Lizier, J. (2000). Bragg Scattering of Surface Waves by a Photo-Induced Array. Journal of Infrared, Millimeter and Terahertz Waves, 21(5), 717-724. [More Information]

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