Joseph T. Lizier

发表

Thermodynamics and the dynamics of information in distributed computation

Mikhail Prokopenko, Richard Spinney, Joseph T. Lizier, 2017 .

Entropy balance and information processing in bipartite and nonbipartite composite systems

Mikhail Prokopenko, Joseph T. Lizier, Richard E. Spinney, 2017, Physical Review E.

Identifying influential spreaders and efficiently estimating the number of infections in epidemic models: a path counting approach

Joseph T. Lizier, Frank Bauer, 2012 .

A Fisher Information Study of Phase Transitions in Random Boolean Networks

Mikhail Prokopenko, Joseph T. Lizier, X. Rosalind Wang, 2010, ALIFE.

Self-referential basis of undecidable dynamics: from The Liar Paradox and The Halting Problem to The Edge of Chaos

Mikhail Prokopenko, Joseph T. Lizier, Pavlos Peppas, 2017, Physics of life reviews.

The information dynamics of cascading failures in energy networks

David Cornforth, Mikhail Prokopenko, Joseph T. Lizier, 2009 .

Towards a synergy-based approach to measuring information modification

Joseph T. Lizier, Benjamin Flecker, Paul L. Williams, 2013, 2013 IEEE Symposium on Artificial Life (ALife).

The information dynamics of phase changes in The information dynamics of phase changes in random Boolean networks

Albert Y. Zomaya, Mikhail Prokopenko, Joseph T. Lizier, 2008 .

Local measures of information storage in complex distributed computation

Albert Y. Zomaya, Mikhail Prokopenko, Joseph T. Lizier, 2012, Inf. Sci..

Quantifying Information Modification in Cellular Automata using Pointwise Partial Information Decomposition

Joseph T. Lizier, Conor Finn, 2018 .

Information Dynamics in Networks and Phase Transitions

Joseph T. Lizier, J. Lizier, 2013 .

Multivariate construction of effective computational networks from observational data

Joseph T. Lizier, Mikail Rubinov, M. Rubinov, 2012 .

Characterising information-theoretic storage and transfer in continuous time processes

Joseph T. Lizier, Richard E. Spinney, 2018, Physical review. E.

Measuring Information-Transfer Delays

Viola Priesemann, Joseph T. Lizier, Felix Siebenhühner, 2013, PloS one.

Information Decomposition of Target Effects from Multi-Source Interactions

Joseph T. Lizier, Nils Bertschinger, Michael Wibral, 2018 .

Partial information decomposition as a unified approach to the specification of neural goal functions

Jim Kay, Viola Priesemann, William A. Phillips, 2015, Brain and Cognition.

IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks

Joseph T. Lizier, Mario Martínez-Zarzuela, Raul Vicente, 2018, J. Open Source Softw..

25th Annual Computational Neuroscience Meeting: CNS-2016

Morten L. Kringelbach, Majid Nili Ahmadabadi, Anders M. Dale, 2016, BMC Neuroscience.

Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data

Joseph T. Lizier, Richard E. Spinney, David P. Shorten, 2020, bioRxiv.

Coherent information structure in complex computation

Albert Y. Zomaya, Mikhail Prokopenko, Joseph T. Lizier, 2012, Theory in Biosciences.

Information Transfer by Particles in Cellular Automata

Albert Y. Zomaya, Mikhail Prokopenko, Joseph T. Lizier, 2007, ACAL.

Inferring network properties from time series via transfer entropy and mutual information: validation of bivariate versus multivariate approaches pdf

Joseph T. Lizier, Leonardo Novelli, Leonardo Novelli, 2020, ArXiv.

Comparing dynamics of cascading failures between network-centric and power flow models

Joseph T. Lizier, Mikhail Prokopenko, Valentina Cupac, 2013 .

Functional and Structural Topologies in Evolved Neural Networks

Mikhail Prokopenko, Joseph T. Lizier, Larry S. Yaeger, 2009, ECAL.

Information storage and transfer in the synchronization process in locally-connected networks

Albert Y. Zomaya, Joseph T. Lizier, Rommel V. Ceguerra, 2011, 2011 IEEE Symposium on Artificial Life (ALIFE).

Information Transfer in Canonical Systems

Joseph T. Lizier, Terry Bossomaier, Lionel Barnett, 2016 .

Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series pdf

Joseph T. Lizier, James M. Shine, Ben D. Fulcher, 2020, ArXiv.

Measuring information storage and transfer in swarms

X. Rosalind Wang, Mikhail Prokopenko, Joseph T. Lizier, 2011, ECAL.

Transfer entropy in continuous time, with applications to jump and neural spiking processes

Mikhail Prokopenko, Joseph T. Lizier, Richard E. Spinney, 2016, Physical review. E.

Moving Frames of Reference, Relativity and Invariance in Transfer Entropy and Information Dynamics

Joseph T. Lizier, John R. Mahoney, 2013, Entropy.

Inferring network properties from time series using transfer entropy and mutual information: Validation of multivariate versus bivariate approaches

Joseph T. Lizier, Leonardo Novelli, Leonardo Novelli, 2020, Network Neuroscience.

Identifying influential spreaders pdf

Joseph T. Lizier, Frank Bauer, F. Bauer, 2012, ArXiv.

Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing

Joseph T. Lizier, Michael Wibral, Patricia Wollstadt, 2019, Network Neuroscience.

JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems

Joseph T. Lizier, J. Lizier, 2014, Front. Robot. AI.

Topological Augmentation of Latent Information Streams in Feed-Forward Neural Networks

Joseph T. Lizier, James M. Shine, Ben D. Fulcher, 2020, bioRxiv.

Computational capabilities of small-world Boolean networks

Mikhail Prokopenko, Joseph T. Lizier, Siddharth Pritam, 2011, ECAL.

On Thermodynamic Interpretation of Transfer Entropy

Mikhail Prokopenko, Joseph T. Lizier, Don Price, 2013, Entropy.

Information Dynamics in Small-World Boolean Networks

Mikhail Prokopenko, Joseph T. Lizier, Siddharth Pritam, 2011, Artificial Life.

Emergence of Glider-like Structures in a Modular Robotic System

Albert Y. Zomaya, Mikhail Prokopenko, Ivan Tanev, 2008, ALIFE.

Measuring the Dynamics of Information Processing on a Local Scale in Time and Space

Joseph T. Lizier, J. Lizier, 2014 .

Pointwise Partial Information DecompositionUsing the Specificity and Ambiguity Lattices

Joseph T. Lizier, Conor Finn, J. Lizier, 2018, Entropy.

Entropy production and flux during collective motion near criticality pdf

Mikhail Prokopenko, Joseph T. Lizier, Emanuele Crosato, 2017, ArXiv.

Bits from Brains: Analyzing Distributed Computation in Neural Systems

Viola Priesemann, Joseph T. Lizier, Michael Wibral, 2017 .

Quantifying Long-Range Interactions and Coherent Structure in Multi-Agent Dynamics

Oliver Obst, X. Rosalind Wang, Mikhail Prokopenko, 2017, Artificial Life.

Miscellaneous Applications of Transfer Entropy

Joseph T. Lizier, Terry Bossomaier, Lionel Barnett, 2016 .

Quantifying Information Modification in Developing Neural Networks via Partial Information Decomposition

Viola Priesemann, Joseph T. Lizier, Conor Finn, 2017, Entropy.

Detecting Non-trivial Computation in Complex Dynamics

Albert Y. Zomaya, Mikhail Prokopenko, Joseph T. Lizier, 2007, ECAL.

Differentiating information transfer and causal effect

Mikhail Prokopenko, Joseph T. Lizier, M. Prokopenko, 2008, 0812.4373.

Information Decomposition of Target Effects from Multi-Source Interactions: Perspectives on Previous, Current and Future Work

Joseph T. Lizier, Nils Bertschinger, Jürgen Jost, 2018, Entropy.

Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity

Jakob Heinzle, Mikhail Prokopenko, Joseph T. Lizier, 2010, Journal of Computational Neuroscience.

Information Transfer in Biological and Bio-Inspired Systems

Joseph T. Lizier, 2013 .

Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks

Oliver Obst, X. Rosalind Wang, Mikhail Prokopenko, 2008, EWSN.

A framework for the local information dynamics of distributed computation in complex systems pdf

Albert Y. Zomaya, Mikhail Prokopenko, Joseph T. Lizier, 2008, ArXiv.

Criticality and Information Dynamics in Epidemiological Models

Mikhail Prokopenko, Joseph T. Lizier, Piraveenan Mahendra, 2017, Entropy.

Programming for Chemical Engineers Using C, C++

X. Rosalind Wang, Joseph T. Lizier, 2015 .

Fisher Information at the Edge of Chaos in Random Boolean Networks

X. Rosalind Wang, Mikhail Prokopenko, Joseph T. Lizier, 2011, Artificial Life.

Generalised Measures of Multivariate Information Content

Joseph T. Lizier, Conor Finn, 2020, Entropy.

An Introduction to Transfer Entropy

Joseph T. Lizier, Terry Bossomaier, Lionel Barnett, 2016, Springer International Publishing.

An Interview-Based Study of Pioneering Experiences in Teaching and Learning Complex Systems in Higher Education

Melanie Mitchell, Joseph T. Lizier, Hiroki Sayama, 2018, Complex..

Local active information storage as a tool to understand distributed neural information processing

Viola Priesemann, Joseph T. Lizier, Ralf Galuske, 2013, Front. Neuroinform..

How to measure local active information storage in neural systems

Viola Priesemann, Joseph T. Lizier, Michael Wibral, 2014, 2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO).

Identifying influential spreaders and efficiently estimating infection numbers in epidemic models: A walk counting approach

Joseph T. Lizier, Frank Bauer, F. Bauer, 2012, 1203.0502.

Human breath-print identification by E-nose, using information-theoretic feature selection prior to classification

X. Rosalind Wang, Joseph T. Lizier, Stephen C. Trowell, 2015 .

Deriving pairwise transfer entropy from network structure and motifs

Joseph T. Lizier, Fatihcan M. Atay, Jurgen Jost, 2020, Proceedings of the Royal Society A.

Information processing in echo state networks at the edge of chaos

Minoru Asada, Oliver Obst, Joseph T. Lizier, 2011, Theory in Biosciences.

Informative and misinformative interactions in a school of fish

Guy Theraulaz, X. Rosalind Wang, Mikhail Prokopenko, 2017, Swarm Intelligence.

Reduced predictable information in brain signals in autism spectrum disorder

Joseph T. Lizier, Roberto Hornero, Carlos Gómez, 2014, Front. Neuroinform..

The Information Dynamics of Phase Transitions in Random Boolean Networks

Albert Y. Zomaya, Mikhail Prokopenko, Joseph T. Lizier, 2008, ALIFE.

Towards Quantifying Interaction Networks in a Football Match

Oliver Obst, X. Rosalind Wang, Mikhail Prokopenko, 2013, RoboCup.

Transitions in brain-network level information processing dynamics are driven by alterations in neural gain

Russell A. Poldrack, Michael Breakspear, Joseph T. Lizier, 2019 .

The local information dynamics of distributed computation in complex systems

Albert Y. Zomaya, Joseph T. Lizier, M. Prokopenko, 2012 .

Probability Mass Exclusions and the Directed Components of Pointwise Mutual Information pdf

Joseph T. Lizier, Conor Finn, J. Lizier, 2018, ArXiv.

Bits from Brains for Biologically Inspired Computing

Viola Priesemann, Joseph T. Lizier, Michael Wibral, 2014, Front. Robot. AI.

Probability Mass Exclusions and the Directed Components of Mutual Information

Joseph T. Lizier, Conor Finn, 2018, Entropy.

Information theoretic evidence for predictive coding in the face processing system

Joseph T. Lizier, Alla Brodski-Guerniero, Georg-Friedrich Paasch, 2017 .

Directed Information Measures in Neuroscience

Joseph T. Lizier, Michael Wibral, Raul Vicente, 2014 .

Computation in Complex Systems

Joseph T. Lizier, J. Lizier, 2013 .

Information Transfer in Swarms with Leaders pdf

Yu Sun, X. Rosalind Wang, Mikhail Prokopenko, 2014, ArXiv.

An Introduction to Transfer Entropy: Information Flow in Complex Systems

Joseph T. Lizier, Terry Bossomaier, Michael Harr, 2016 .

Transfer Entropy and Transient Limits of Computation

Mikhail Prokopenko, Joseph T. Lizier, M. Prokopenko, 2014, Scientific Reports.

Inferring network properties from time series using transfer entropy and mutual information: Validation of multivariate versus bivariate approaches

Joseph T. Lizier, Leonardo Novelli, 2021, Network Neuroscience.

MNIST classification using Neuromorphic Nanowire Networks

Zdenka Kuncic, Joseph T. Lizier, James K. Gimzewski, 2021, ICONS.

Assessing the significance of directed and multivariate measures of linear dependence between time series

Joseph T. Lizier, James M. Shine, Ben D. Fulcher, 2021 .

Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task

Oluwasanmi Koyejo, Joseph T. Lizier, James M. Shine, 2021, Brain Informatics.

Speed-mediated properties of schooling

Joseph T. Lizier, Ashley J. W. Ward, Maud I. A. Kent, 2019, Royal Society Open Science.

Measuring Information Dynamics in Swarms

Mikhail Prokopenko, Joseph T. Lizier, Louis F. Rossi, 2014 .

Feature Selection for Chemical Sensor Arrays Using Mutual Information

X. Rosalind Wang, Mikhail Prokopenko, Joseph T. Lizier, 2014, PloS one.

Activating task relevant prior knowledge increases active information storage in content specific brain areas

Joseph T. Lizier, Ipek Oezdemir, Michael Wibral, 2016 .

Information Transfer Analysis for Ongoing Commissioning of Buildings

X. Rosalind Wang, Joseph T. Lizier, Australia Rosalind. Wang, 2011 .