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Joseph Lizier -- Publications

Home > Publications

Books Theses Papers Abstract-only and non-peer reviewed

My pages on scholarly websites: Google scholar ORCID Scopus Web of Science ResearchGate

Books

• J.T. Lizier, N. Bertschinger, J. Jost and M. Wibral (editors), "Information Decomposition of Target Effects from Multi-Source Interactions", published by MDPI, Basel, 2018; ISBN: 978-3-03897-015-6 (print), 978-3-03897-016-3 (online); doi:10.3390/books978-3-03897-016-3. Product flyer.
  Available on amazon.com.
• T. Bossomaier, L. Barnett, M. Harré and J.T. Lizier, "An Introduction to Transfer Entropy: Information Flow in Complex Systems", published by Springer, Cham, Switzerland, 2016. ISBN: 978-3-319-43221-2 (print) 978-3-319-43222-9 (online); doi:10.1007/978-3-319-43222-9. Product flyer.
  Available on amazon.com.
• M. Wibral, R. Vicente and J.T. Lizier (editors), "Directed information measures in Neuroscience", published in Understanding Complex Systems series, vol. 93, Springer, Berlin/Heidelberg, 2014. ISBN 978-3-642-54473-6 (print), 978-3-642-54474-3 (online); doi:10.1007/978-3-642-54474-3. Product flyer.
  Available on amazon.com.
• J.T. Lizier, "The local information dynamics of distributed computation in complex systems", published in Springer Theses series, Springer, Berlin/Heidelberg, 2013. ISBN 978-3-642-32951-7; doi:10.1007/978-3-642-32952-4. Product flyer.
  Available on amazon.com.

Theses

• (Ph.D. thesis) J.T. Lizier, "The local information dynamics of distributed computation in complex systems", The University of Sydney, 2010.
• (B.E. Hons thesis) J.T. Lizier, "Applications of Holey Fibre: Splicing, Spot-size conversion and Coupling", The University of Sydney, 2000.

Papers -- journal articles, peer-reviewed conference papers and book chapters

Keywords: information dynamics, information transfer, transfer entropy, information storage, information modification, information processing, self-organization, artificial life, random boolean networks, complex networks, computational neuroscience, neuroinformatics, collective animal behaviour, swarming, flocking, time-series analysis, anomaly detection, machine learning, pattern recognition

• NEW D.P. Shorten, V. Priesemann, M. Wibral and J.T. Lizier, "Early lock-in of structured and specialised information flows during neural development", eLife, vol. 11, e74651, 2022; doi:10.7554/eLife.74651; biorXiv doi:10.1101/2021.06.29.450432
• NEW F. Rosas De Andraca, P. Mediano, A. Luppi, T. Varley, J.T. Lizier, S. Stramaglia, H. Jensen, and D. Marinazzo, "Disentangling high-order mechanisms and high-order behaviours in complex systems", Nature Physics, in press, 2022; doi:10.1038/s41567-022-01548-5
• NEW A.L. Burns, T.M. Schaerf, J.T. Lizier, S. Kawaguchi, M. Cox, R. King, J. Krause, A.J.W. Ward, "Self-organization and information transfer in Antarctic krill swarms", Proceedings of the Royal Society B, vol. 289, p. 20212361, 2022; doi:10.1098/rspb.2021.2361; bioRxiv:10.1101/2021.01.19.427357
• NEW J.M. Shine, M. Li, O. Koyejo, B. Fulcher and J.T. Lizier, "Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task", Brain Informatics, vol. 8, 26, 2021; doi:10.1186/s40708-021-00147-z; bioRxiv:10.1101/2020.09.30.321679
• NEW R. Zhu, A. Loeffler, J. Hochstetter, A. Diaz-Alvarez, T. Nakayama, A. Stieg, J. Gimzewski, J.T. Lizier, and Z. Kuncic, "MNIST classification using Neuromorphic Nanowire Networks", in Proc. International Conference on Neuromorphic Systems, in press, 2021; doi:10.1145/3477145.3477162
• NEW R. Zhu, J. Hochstetter, A. Loeffler, A. Diaz-Alvarez, T. Nakayama, J.T. Lizier, and Z. Kuncic, "Information dynamics in neuromorphic nanowire networks", Scientific Reports, vol. 11, 13047, 2021; doi:10.1038/s41598-021-92170-7
• NEW D.P. Shorten, R.E. Spinney and J.T. Lizier, "Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data", PLOS Computational Biology, vol. 17, no. 4, e1008054, 2021; doi:10.1371/journal.pcbi.1008054; biorXiv doi:10.1101/2020.06.16.154377
• NEW L. Novelli and J.T. Lizier, "Inferring network properties from time series via transfer entropy and mutual information: validation of bivariate versus multivariate approaches", Network Neuroscience, vol. 5, no. 2, pp. 373-404, 2021; doi:10.1162/netn_a_00178; arXiv:2007.07500
• NEW O.M. Cliff, L. Novelli, B. Fulcher, J.M. Shine and J.T. Lizier, "Assessing the significance of directed and multivariate measures of linear dependence between time series", Physical Review Research, vol. 3, no. 2, 013145, 2021; doi:10.1103/PhysRevResearch.3.013145; arXiv:2003.03887
• M.J. Hansen, A.L. Burns, C.T. Monk, C. Schutz, J.T. Lizier, I. Ramnarine, A.J.W. Ward and J. Krause, "The effect of predation risk on group positioning behaviour and information flow during repeated collective decisions", Animal Behaviour, vol. 173, pp. 215-239, 2021; doi:10.1016/j.anbehav.2021.01.005
• S.A. Encel, T.M. Schaerf, J.T. Lizier and A.J.W. Ward, "Locomotion, interactions and information transfer vary according to context in a cryptic fish species", Behavioral Ecology and Sociobiology, vol. 75, no. 1, p. 19, 2021; doi:10.1007/s00265-020-02930-0
• L. Novelli, F. Atay, J. Jost and J.T. Lizier, "Deriving pairwise transfer entropy from network structure and motifs", Proceedings of the Royal Society A, vol. 476, no. 2236, p. 20190779, 2020; doi:10.1098/rspa.2019.0779; arXiv:1911.02931
• C. Finn and J.T. Lizier, "Generalised Measures of Multivariate Information Content", Entropy, vol. 22, no. 2, p. 216, 2020; doi:10.3390/e22020216, arXiv:1909.12166
• M. Li, Y. Han, M.J. Aburn, M. Breakspear, R.A. Poldrack, J.M. Shine and J.T. Lizier, "Transitions in information processing dynamics at the whole-brain network level are driven by alterations in neural gain", PLOS Computational Biology, vol. 15, no. 10, e1006957, 2019. doi:10.1371/journal.pcbi.1006957; bioRxiv doi:10.1101/581538
• L. Novelli, P. Wollstadt, P. Mediano, M. Wibral and J.T. Lizier, "Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing", Network Neuroscience, vol. 3, no. 3, pp. 827-847, 2019. doi:10.1162/netn_a_00092; arXiv:1902.06828
• P. Wollstadt, J.T. Lizier, R. Vicente, C. Finn, M. Martínez-Zarzuela, P. Mediano, L. Novelli and M. Wibral, "IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks", Journal of Open Source Software, vol. 4, no. 3, 1081, 2019. doi:10.21105/joss.01081; arXiv:1807.10459
• A. Wilson, A.L. Burns, E. Crosato, J.T. Lizier, M. Prokopenko, T.M. Schaerf, A.J. Ward, "Conformity in the Collective: Differences in Hunger Affect Individual and Group Behaviour in Fish", Behavioral Ecology, vol. 30, no. 4, pp. 968-974, 2019. doi:10.1093/beheco/arz036
• M. Kent, R. Lukeman, J.T. Lizier, A. Ward, "Speed-mediated properties of schooling", Royal Society Open Science, vol. 6, no. 2, 181482, 2019. doi:10.1098/rsos.181482
• M. Prokopenko, M. Harré, J.T. Lizier, F. Boschetti, P. Peppas, S. Kauffman, "Self-referential basis of undecidable dynamics: from The Liar Paradox and The Halting Problem to The Edge of Chaos", Physics of Life Reviews, vol. 31, pp. 134-156, 2019; doi:10.1016/j.plrev.2018.12.003; arXiv:1711.02456
• A. Ward, T. Schaerf, A.L. Burns, J.T. Lizier, E. Crosato, M. Prokopenko, M. Webster, "Cohesion, order and information flow in the collective motion of mixed-species shoals", Royal Society Open Science, vol. 5, no. 12, 181473, 2018; doi:10.1098/rsos.181132.
• C. Finn and J.T. Lizier, "Probability Mass Exclusions and the Directed Components of Mutual Information", Entropy, vol. 20, no. 11, p. 826, 2018; doi:10.3390/e20110826; arXiv:1801.09223
• J.T. Lizier, M.S. Harré, M. Mitchell, S. DeDeo, C. Finn, K. Lindgren, A.L. Lizier and H. Sayama, "An interview based study of pioneering experiences in teaching and learning Complex Systems in Higher Education", Complexity, vol. 2018, 7306871, 2018; doi:10.1155/2018/7306871, arXiv:1802.02707
• D. Penny, C. Zachreson, R. Fletcher, D. Lau, J.T. Lizier, N. Fischer, D. Evans, C. Pottier, M. Prokopenko, "The demise of Angkor: systemic vulnerability of urban infrastructure to climatic variations", Science Advances, vol. 4, no. 10, eaau4029, 2018; doi:10.1126/sciadv.aau4029.
• R.E. Spinney, J.T. Lizier, M. Prokopenko, "Entropy balance and information processing in bipartite and non-bipartite composite systems", Physical Review E, vol. 98, no. 3, 032141, 2018; doi:10.1103/PhysRevE.98.032141; arXiv:1712.09715
• J.T. Lizier, N. Bertschinger, J. Jost and M. Wibral, "Information Decomposition of Target Effects from Multi-Source Interactions: Perspectives on Previous, Current and Future Work", Entropy, vol. 20, no. 4, p. 307, 2018; doi:10.3390/e20040307
• R.E. Spinney and J.T. Lizier, "Characterising information-theoretic storage and transfer in continuous time processes", Physical Review E, vol. 98, no. 1, 012314, 2018; doi:10.1103/PhysRevE.98.012314; arXiv:1804.03269
• C. Finn and J.T. Lizier, "Pointwise Partial Information Decomposition Using the Specificity and Ambiguity Lattices", Entropy, vol. 20, no. 4, p. 297, 2018; doi:10.3390/e20040297, arXiv:1801.09010
• A. Brodski-Guerniero, M.J. Naumer, V. Moliadze, J. Chan, H. Althen, F. Ferreira-Santos, J.T. Lizier, S. Schlitt, J. Kitzerow, M. Schütz, A. Langer, J. Kaiser, C.M. Freitag, M. Wibral, "Predictable information in neural signals during resting state is reduced in Autism Spectrum Disorder", Human Brain Mapping, vol. 39, no. 8, pp. 3227-3240, 2018; doi:10.1002/hbm.24072
• E. Crosato, L. Jiang, V. Lecheval, J.T. Lizier, X.R. Wang, P. Tichit, G. Theraulaz and M. Prokopenko, "Informative and misinformative interactions in a school of fish", Swarm Intelligence, vol. 12, no. 4, pp.283-305, 2018; doi:10.1007/s11721-018-0157-x, arXiv:1705.01213
• E. Crosato, R.E. Spinney, R. Nigmatullin, J.T. Lizier, M. Prokopenko, "Thermodynamics and computation during collective motion near criticality", Physical Review E, 97(1), 012120, 2018; doi:10.1103/PhysRevE.97.012120
• M. Wibral, C. Finn, P. Wollstadt, J. T. Lizier, V. Priesemann, "Quantifying Information Modification in Developing Neural Networks via Partial Information Decomposition", Entropy, vol. 19, no. 9, pp. 494, 2017; doi:10.3390/e19090494
• A. Brodski-Guerniero, G.-F. Paasch, P. Wollstadt, I. Oezdemir, J. T. Lizier, M. Wibral, "Information-Theoretic Evidence for Predictive Coding in the Face-Processing System", Journal of Neuroscience, vol. 37, no. 34, pp. 8273-8283, 2017; doi:10.1523/JNEUROSCI.0614-17.2017, bioRxiv 089300.
• E.Y. Erten, J.T. Lizier, M. Piraveenan and M. Prokopenko, "Criticality and information dynamics in epidemiological models", Entropy, vol. 19, no. 5, 194, 2017; doi:10.3390/e19050194
• R.E. Spinney, M. Prokopenko and J.T. Lizier, "Transfer entropy in continuous time, with applications to jump and neural spiking processes", Physical Review E, vol. 95, 032319, 2017; doi:10.1103/PhysRevE.95.032319; arXiv:1610.08192.
• O.M. Cliff, J.T. Lizier, P. Wang, X.R. Wang, O. Obst, M. Prokopenko, "Quantifying Long-Range Interactions and Coherent Structure in Multi-Agent Dynamics", Artificial Life, vol. 23, no. 1, pp. 34-57, 2017; doi:10.1162/ARTL_a_00221.
• M. Wibral, J.T. Lizier and V. Priesemann, "Bits from Brains: Analyzing Distributed Computation in Neural Systems", in "From Matter to Life: Information and Causality", ed. S. I. Walker, P. Davies and G. Ellis, Cambridge University Press, Camdridge, pp. 429-467, 2017; doi:10.1017/9781316584200.017
• M. Wibral, V. Priesemann, J. W. Kay, J.T. Lizier and W. A. Phillips, "Partial Information Decomposition as a Unified Approach to the Specification of Neural Goal Functions", Brain and Cognition, vol. 112, pp. 25-38, 2017; doi: 10.1016/j.bandc.2015.09.004; pre-print: arXiv:1510.00831.
• R.E. Spinney, J.T. Lizier and M. Prokopenko, "Transfer entropy in physical systems and the arrow of time", Physical Review E, vol. 94, 022135, 2016; doi: 10.1103/PhysRevE.94.022135.
• M. Prokopenko, L. Barnett, M. Harré, J.T. Lizier, O. Obst, and X.R. Wang, "Fisher Transfer Entropy: Quantifying the gain in transient sensitivity", Proceedings of the Royal Society A, vol. 471, 20150610, 2015; doi: 10.1098/rspa.2015.0610.
• M. Wibral, J.T. Lizier and V. Priesemann, "Bits from Brains for Biologically-inspired Computing", Frontiers in Robotics and AI, vol. 2, 5, 2015; doi: 10.3389/frobt.2015.00005; pre-print: arXiv:1412.0291.
• J.T. Lizier, "JIDT: An information-theoretic toolkit for studying the dynamics of complex systems", Frontiers in Robotics and AI, vol. 1, 11, 2014; doi: 10.3389/frobt.2014.00011; arXiv:1408.3270, 2014.
• M. Prokopenko and J.T. Lizier, "Transfer Entropy and Transient Limits of Computation", Scientific Reports, vol. 4, 5394, 2014; doi: 10.1038/srep05394.
• J.T. Lizier, "Measuring the dynamics of information processing on a local scale in time and space", in Directed information measures in Neuroscience, ed. M. Wibral, R. Vicente and J.T. Lizier, pp. 161-193, Springer, Berlin/Heidelberg, 2014; doi: 10.1007/978-3-642-54474-3_7.
• C. Gomez, J.T. Lizier, M. Schaum, P. Wollstadt, C. Gruetzner, P. Uhlhaas, C. Freitag, S. Schlitt, S. Boelte, R. Hornero and M. Wibral, "Reduced Predictable Information in Brain Signals in Autism Spectrum Disorder", Frontiers in Neuroinformatics, vol. 8, no. 9, 2014; doi: 10.3389/fninf.2014.00009.
• M. Wibral, J.T. Lizier, S. Voegler, V. Priesemann and R. Galuske, "Local active information storage as a tool to understand distributed neural information processing", Frontiers in Neuroinformatics, vol. 8, no. 1, 2014; doi: 10.3389/fninf.2014.00001.
• J.T. Lizier, M. Prokopenko and A.Y. Zomaya, "A framework for the local information dynamics of distributed computation in complex systems", in Guided self-organisation: Inception, ed. M. Prokopenko, pp. 115-158, Springer, Berlin/Heidelberg, 2014; doi: 10.1007/978-3-642-53734-9_5, arXiv:0811.2690.
• J.M. Miller, X.R. Wang, J.T. Lizier, M. Prokopenko and L. F. Rossi, "Measuring Information Dynamics in Swarms", in Guided self-organisation: Inception, ed. M. Prokopenko, pp. 343-364, Springer, Berlin/Heidelberg, 2014; doi: 10.1007/978-3-642-53734-9_12.
• X.R. Wang, J.T. Lizier, T. Nowotny, A.Z. Berna, M. Prokopenko and S. Trowell, "Feature Selection for Chemical Sensor Arrays Using Mutual Information", PLoS ONE, vol. 9, no. 3, e89840, 2014; doi: 10.1371/journal.pone.0089840. Supplementary information.
• L. Barnett, J.T. Lizier, M. Harré, A. K. Seth, T. Bossomaier, "Information flow in a kinetic Ising model peaks in the disordered phase", Physical Review Letters, vol. 111, no. 17, 177203, 2013; doi: 10.1103/PhysRevLett.111.177203. Also see: Supplementary material.
• O.M. Cliff, J.T. Lizier, X.R. Wang, P. Wang, O. Obst and M. Prokopenko, "Towards Quantifying Interaction Networks in a Football Match", in RoboCup 2013: Robot World Cup XVII, Lecture Notes in Computer Science, Vol. 8371, Springer, Berlin/Heidelberg, 2014, pp. 1-12; doi: 10.1007/978-3-662-44468-9_1. Received Best Paper award - theoretical contribution at RoboCup'2013 Symposium, Eindhoven, June 2013.
• V. Cupac, J.T. Lizier and M. Prokopenko, "Comparing dynamics of cascading failures between network-centric and power flow models", International Journal of Electrical Power and Energy Systems, vol. 49, pp. 369-379, 2013; doi: 10.1016/j.ijepes.2013.01.017.
• M. Wibral, N. Pampu, V. Priesemann, F. Siebenhühner, H. Seiwert, M. Lindner, J.T. Lizier and R. Vicente, "Measuring information-transfer delays", PLOS ONE, vol. 8, no. 2, e55809, 2013; doi: 10.1371/journal.pone.0055809.
• J.T. Lizier, B. Flecker and P.L. Williams, "Towards a Synergy-based Approach to Measuring Information Modification", in Proc. IEEE Symposium Series in Computational Intelligence (SSCI 2013) - IEEE Symposium on Artificial Life, Singapore, April 2013. Published by IEEE, 2013, p. 43-51, ISSN 2160-6374; doi: 10.1109/ALIFE.2013.6602430. arXiv:1303.3440 -- Presentation -- Received Best Paper award at IEEE ALife.
• M. Prokopenko and J.T. Lizier, "On Thermodynamic Interpretation of Transfer Entropy", Entropy, vol. 15, no. 2, p. 524-543, 2013; doi: 10.3390/e15020524.
• J.T. Lizier and J.R. Mahoney, "Moving frames of reference, relativity and invariance in transfer entropy and information dynamics", Entropy, vol. 15, no. 1, p. 177-197, 2013; doi: 10.3390/e15010177.
• F. Bauer and J.T. Lizier, "Identifying influential spreaders and efficiently estimating infection numbers in epidemic models: a walk counting approach", Europhysics Letters, vol. 99, no. 6, 68007, 2012; doi: 10.1209/0295-5075/99/68007. MPI MIS Preprint 1/2012, arXiv:1203.0502, 2012.
• J.T. Lizier, F. M. Atay and J. Jost, "Information storage, loop motifs and clustered structure in complex networks", Physical Review E, vol. 86, no. 2, 026110, 2012; doi: 10.1103/PhysRevE.86.026110. MPI MIS Preprint 71/2011, 2011.
• X.R. Wang, J.M. Miller, J.T. Lizier, M. Prokopenko and L.F. Rossi, "Quantifying and Tracing Information Cascades in Swarms", PLoS ONE, vol. 7, no. 7, e40084, 2012; doi: 10.1371/journal.pone.0040084.
• J.T. Lizier, M. Prokopenko and A.Y. Zomaya, "Local measures of information storage in complex distributed computation", Information Sciences, vol. 208, pp. 39-54, 2012; doi: 10.1016/j.ins.2012.04.016.
• J.T. Lizier, M. Prokopenko and A.Y. Zomaya, "Coherent information structure in complex computation", Theory in Biosciences special issue on Guided self-organization, vol. 131, no. 3, pp. 193-203, 2012. doi:10.1007/s12064-011-0145-9.
• J. Boedecker, O. Obst, J.T. Lizier, N.M. Mayer and M. Asada, "Information processing in echo state networks at the edge of chaos", Theory in Biosciences special issue on Guided self-organization, vol. 131, no. 3, pp. 205-213, 2012. doi:10.1007/s12064-011-0146-8.
• M. Prokopenko, J.T. Lizier, O. Obst and X.R. Wang, "Relating Fisher information to order parameters", Physical Review E, vol. 84, no. 4, 041116, 2011; doi: 10.1103/PhysRevE.84.041116.
• X.R. Wang, J.M. Miller, J.T. Lizier, M. Prokopenko and L.F. Rossi, "Measuring Information Storage and Transfer in Swarms", in Proc. Eleventh European Conference on the Synthesis and Simulation of Living Systems (ECAL 2011), Paris, 2011. Published in Advances in Artificial Life, ECAL 2011, by Massachusetts Institute of Technology, ISBN 978-0-262-29714-1, 2011, pp. 838-845. (Download from MIT Press).
• J.T. Lizier, S. Pritam and M. Prokopenko, "Information dynamics in small-world Boolean networks", Artificial Life (Special issue on Complex Networks), vol. 17, no. 4, pp. 293-314, 2011; doi: 10.1162/artl_a_00040.
• X.R. Wang, J.T. Lizier and M. Prokopenko, "Fisher information at the edge of chaos in random Boolean networks", Artificial Life (Special issue on Complex Networks), vol. 17, no. 4, pp. 315-329, 2011; doi: 10.1162/artl_a_00041.
• R.V. Ceguerra, J.T. Lizier and A.Y. Zomaya, "Information storage and transfer in the synchronization process in locally-connected networks", in Proc. IEEE Symposium Series in Computational Intelligence (SSCI 2011) - IEEE Symposium on Artificial Life, Paris, April 2011. Published by IEEE, 2011, p. 54-61, ISBN 978-1-61284-061-1; doi: 10.1109/ALIFE.2011.5954653 -- Received Best Paper award at IEEE ALife. Presentation.
• X.R. Wang, J.T. Lizier and J. Wall, "Information transfer analysis for ongoing commissioning of buildings", accepted for Agent Technologies for Energy Systems (ATES 2011), 2011.
• J.T. Lizier, J. Heinzle, A. Horstmann, J.-D. Haynes, M. Prokopenko, "Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity", Journal of Computational Neuroscience (in Special issue on "Methods of Information Theory in Neuroscience Research"), vol. 30, pp. 85-107, 2011; doi: 10.1007/s10827-010-0271-2.
• J.T. Lizier, M. Prokopenko and A.Y. Zomaya, "Information modification and particle collisions in distributed computation", Chaos: An Interdisciplinary Journal of Nonlinear Science for the Focus issue on "Intrinsic and Designed Computation: Information processing in dynamical systems", vol. 20, no. 3, 037109, 2010; doi: 10.1063/1.3486801.
• X.R. Wang, J.T. Lizier, M. Prokopenko, "A Fisher information study of phase transitions in random Boolean networks", in Proc. Twelfth International Conference on the Simulation and Synthesis of Living Systems (ALife XII), Odense, Denmark, August 2010. Published by Massachusetts Institute of Technology, ISBN 978-0-262-29075-3, 2010, pp. 305-312. (Download from MIT Press).
• J.T. Lizier and M. Prokopenko, "Differentiating information transfer and causal effect", European Physical Journal B, vol. 73, no. 4, pp. 605-615, 2010. doi: 10.1140/epjb/e2010-00034-5; older version: arXiv:0812.4373.
• J.T. Lizier, M. Prokopenko and D. J. Cornforth, "The information dynamics of cascading failures in energy networks", in Proc. European Conference on Complex Systems 2009 (ECCS 09), p. 54, The University of Warwick, UK, September 2009, (ISBN 0-9554123-1-5) ISBN 978-0-9554123-1-8. Presentation.
• J.T. Lizier, M. Piraveenan, D. Pradhana, M. Prokopenko, and L. S. Yaeger, "Functional and structural topologies in evolved neural networks", in Proc. European Conference on Artificial Life (ECAL), Part I, 2009. Published in Lecture Notes in Computer Science, Vol. 5777, Springer, Berlin/Heidelberg, 2011, pp. 140-147. (Available at Springer, doi: 10.1007/978-3-642-21283-3_18). (A presentation similar to that given by M. Piraveenan at ECAL).
• J.T. Lizier, M. Prokopenko and A.Y. Zomaya, "The Information Dynamics of Phase Transitions in Random Boolean Networks", in Proc. Eleventh International Conference on the Simulation and Synthesis of Living Systems (ALife XI), Winchester, UK, August 2008. Published by MIT Press, Cambridge, MA, USA, 2008, pp. 374-381. (Available at MIT Press: here); Presentation.
• J.T. Lizier, M. Prokopenko, I. Tanev and A.Y. Zomaya, "Emergence of Glider-like Structures in a Modular Robotic System", in Proc. Eleventh International Conference on the Simulation and Synthesis of Living Systems (ALife XI), Winchester, UK, August 2008. Published by MIT Press, Cambridge, MA, USA, 2008, pp. 366-373. (Available at MIT Press: here); Videos; Presentation.
• J.T. Lizier, M. Prokopenko and A.Y. Zomaya, "Local information transfer as a spatiotemporal filter for complex systems", Physical Review E, vol. 77, 026110, 2008. doi: 10.1103/PhysRevE.77.026110; arXiv:0809.3275.
• X.R. Wang, J.T. Lizier, O. Obst, M. Prokopenko, P. Wang, "Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks", in Proc. 5th European conference on Wireless Sensor Networks (EWSN '08), Bologna, January 2008. Published in Lecture Notes in Computer Science, Vol. 4913, Springer, Berlin/Heidelberg, 2008, pp. 90-105. (Available at Springer, doi: 10.1007/978-3-540-77690-1_6).
• J.T. Lizier, M. Prokopenko and A.Y. Zomaya, "Detecting non-trivial computation in complex dynamics", in Proc. European Conference on Artificial Life (ECAL '07), Lisbon, Portugal, September 2007. Published in Lecture Notes in Artificial Intelligence, Vol. 4648, Springer, Berlin/Heidelberg, 2007, pp. 895-904. (Available at Springer, doi: 10.1007/978-3-540-74913-4_90). Poster.
• J.T. Lizier, M. Prokopenko and A.Y. Zomaya, "Information transfer by particles in cellular automata", in Proc. Australian Conference on Artificial Life (ACAL '07), Gold Coast, Australia, December 2007. Published in Lecture Notes in Computer Science, Vol. 4828, Springer, Berlin/Heidelberg, 2007, pp. 49-60; doi:10.1007/978-3-540-76931-6_5 Presentation.
• J.T. Lizier and T.J. Dawson, "On the Periodicity of Time-series Network and Service Metrics", in Proc. IEEE International Region 10 Conference (Tencon '05), Melbourne, November 2005, paper 1568964734. (Available at IEEE Xplore, doi: 10.1109/TENCON.2005.301066).
• J.T. Lizier and G.E. Town, "Splice Losses in Holey Optical Fibers", IEEE Photonics Technology Letters, Vol. 13, No. 8, pp. 794-796, 2001; doi:10.1109/68.935806
• G.E. Town and J.T. Lizier, "Tapered holey fibers for spot-size and numerical aperture conversion", Optics Letters, Vol. 26, No. 14, pp. 1042-1044, 2001; doi: 10.1364/OL.26.001042.
• G.F. Brand and J.T. Lizier, "Bragg Scattering of Surface Waves by a Photo-Induced Array", International Journal of Infrared and Millimeter Waves, Vol. 21, No. 5, pp. 717-724, 2000. doi:10.1023/A:1026404408615.

Abstract only and other non-peer reviewed material

Keywords: neuroinformatics, computational neuroscience

• M. Wibral, J.T. Lizier and V. Priesemann, "How to measure local active information storage in neural systems", in Proceedings of the 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO 2014), Trento, Italy, p. 131-132, May 2014 (published by IEEE). doi: 10.1109/ESGCO.2014.6847554.
• T. Nowotny, A. Z. Berna, R. Binions, X. R. Wang, J.T. Lizier, M. Prokopenko and S. Trowell, "Feature selection in Enose applications", in Proceedings of the 1st International Workshop on Odor Spaces, Hannover, Germany, September 2013. Published by Flavour, 3(Suppl 1):O15, 2014. doi: 10.1186/2044-7248-3-S1-O15.
• J.T. Lizier, M. Rubinov, "Inferring effective computational connectivity using incrementally conditioned multivariate transfer entropy", in Proc. Twenty Second Annual Computational Neuroscience Meeting (CNS*2013), Paris, France, July 2013. Published by BMC Neuroscience vol. 14 (Suppl. 1): P337, 2013. doi: 10.1186/1471-2202-14-S1-P337.
• F. Bauer and J.T. Lizier, "Self-avoiding walks based approximation method for epidemic disease spreading", accepted by European Conference on Complex Systems, Vienna, 2011.
• J.T. Lizier, S. Pritam and M. Prokopenko, "Computational capabilities of small-world Boolean networks", in Proc. Eleventh European Conference on the Synthesis and Simulation of Living Systems (ECAL 2011), Paris, 2011. Published in Advances in Artificial Life, ECAL 2011, by Massachusetts Institute of Technology, ISBN 978-0-262-29714-1, 2011, pp. 463-464. (Download from MIT Press). Presentation
• M. Rubinov, J.T. Lizier, M. Prokopenko, M. Breakspear, "Maximized directed information transfer in critical neuronal networks", in Proc. Twentieth Annual Computational Neuroscience Meeting (CNS*2011), Stockholm, Sweden, July 2011. Published by BMC Neuroscience vol. 12 (Suppl. 1): P18, 2011. doi: 10.1186/1471-2202-12-S1-P18. Poster.
• J.T. Lizier, J. Heinzle, C.S. Soon, J.-D. Haynes, M. Prokopenko, "Spatiotemporal information transfer pattern differences in motor selection", in Proc. Twentieth Annual Computational Neuroscience Meeting (CNS*2011), Stockholm, Sweden, July 2011. Published by BMC Neuroscience vol. 12 (Suppl. 1): P261, 2011. doi: 10.1186/1471-2202-12-S1-P261. Poster.
• J.T. Lizier, M. Prokopenko, A. Zomaya, "Coherent local information dynamics in complex computation", at Information, Computation and Complexity satellite meeting of European Conference on Complex Systems (ECCS 09), University of Warwick at Coventry, UK, September 2009.
• J.T. Lizier, J.-D. Haynes, J. Heinzle, M. Prokopenko, "Directed information structure in inter-regional cortical interactions in a visuomotor tracking task", in Proc. Eighteenth Annual Computational Neuroscience Meeting (CNS*2009), Berlin, Germany, July 2009. Published by BMC Neuroscience vol. 10 (Suppl. 1): P117, 2009. doi: 10.1186/1471-2202-10-S1-P117. Poster.
• J.T. Lizier, M. Prokopenko, A. Zomaya, "Coherent computation in biological networks", at First International Workshop on Guided Self-Organisation (GSO-2008), Sydney, Australia, November 2008. Presentation.
• J.T. Lizier, "Analysing the information dynamics of flocking", at From Amorphous to Spatial Computing - Workshop, Paris, France, July 2008. Presentation.
• J.T. Lizier and G.E. Town, "Loss in Microstructured Fibre with a short taper", in Proc. Australian Conference on Optical Fibre Technology (ACOFT 2002), Sydney, July 2002, paper M-PD-003.
• J.T. Lizier and G.E. Town, "Splice Losses in Holey Optical Fibers", in Proc. International Optical and Optoelectronics Communications Conference (OECC/IOOC/ACOFT 2001), Sydney, July 2001, paper TueG5.
• G.E. Town and J.T. Lizier, "Tapered holey fibers for spot-size and numerical aperture conversion", in Proc. Conference on Lasers and Electro-optics (CLEO 2001), Baltimore, May 2001, paper CTuAA3.

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