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Joseph T. Lizier

Joseph T. Lizier

D-Index & Metrics

Computer Science

D-Index
47
Citations
7751
World Ranking
6569
National Ranking
207

Overview

Joseph T. Lizier is affiliated with the University of Sydney in Australia and conducts research primarily in the field of Neuroscience.

Their work spans several subfields including Cognitive Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence, Ecology, Evolution, Behavior and Systematics, and Statistical and Nonlinear Physics.

The main topics of their research include:

  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Advanced Memory and Neural Computing
  • Neural Networks and Reservoir Computing
  • Animal Behavior and Reproduction
  • Nonlinear Dynamics and Pattern Formation
  • Complex Systems and Time Series Analysis

Joseph T. Lizier has frequently published in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Computational Biology
  • Cell Reports
  • Nature Communications

Recent published papers include:

  • Disentangling high-order mechanisms and high-order behaviours in complex systems, 2022, Nature Physics
  • Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data, 2021, PLoS Computational Biology
  • Unifying pairwise interactions in complex dynamics, 2023, Nature Computational Science
  • Information dynamics in neuromorphic nanowire networks, 2021, Scientific Reports
  • The non-specific matrix thalamus facilitates the cortical information processing modes relevant for conscious awareness, 2023, Cell Reports

Frequent coauthors in their research include:

  • James M. Shine
  • Ben Fulcher
  • Oliver M. Cliff
  • David Shorten
  • Eli J. Müller

Best Publications

  • JIDT: an information-theoretic toolkit for studying the dynamics of complex systems

    Joseph Troy Lizier;Joseph Troy Lizier

  • Local information transfer as a spatiotemporal filter for complex systems.

    Joseph T. Lizier;Joseph T. Lizier;Mikhail Prokopenko;Albert Y. Zomaya

  • An Introduction to Transfer Entropy: Information Flow in Complex Systems

    Terry Bossomaier;Lionel Barnett;Michael Harr;Joseph T. Lizier

  • Information processing in echo state networks at the edge of chaos

    Joschka Boedecker;Oliver Obst;Oliver Obst;Joseph T. Lizier;Joseph T. Lizier;N. Michael Mayer

  • Measuring Information-Transfer Delays

    Michael Wibral;Nicolae Pampu;Viola Priesemann;Felix Siebenhühner;Felix Siebenhühner

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

    Michael Wibral;Joseph T. Lizier;Sebastian Vögler;Viola Priesemann

  • Differentiating information transfer and causal effect

    Joseph T. Lizier;Joseph T. Lizier;Mikhail Prokopenko;Mikhail Prokopenko

  • 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

  • Directed Information Measures in Neuroscience

    Michael Wibral;Raul Vicente;Joseph T. Lizier

  • Local measures of information storage in complex distributed computation

    Joseph T. Lizier;Mikhail Prokopenko;Albert Y. Zomaya

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

    Michael Wibral;Viola Priesemann;Jim W. Kay;Joseph T. Lizier

  • The Local Information Dynamics of Distributed Computation in Complex Systems

    Joseph T. Lizier

  • 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

  • Information modification and particle collisions in distributed computation.

    Joseph T. Lizier;Mikhail Prokopenko;Albert Y. Zomaya

  • Information flow in a kinetic Ising model peaks in the disordered phase.

    Lionel Barnett;Joseph T. Lizier;Michael Harre;Anil K. Seth

  • Bits from brains for biologically-inspired computing

    Michael Wibral;Joseph T. Lizier;Joseph T. Lizier;Viola Priesemann

  • Relating Fisher information to order parameters.

    Mikhail Prokopenko;Joseph T. Lizier;Oliver Obst;X. Rosalind Wang

  • Pointwise Partial Information Decomposition Using the Specificity and Ambiguity Lattices

    Conor Finn;Joseph T. Lizier

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

    Frank Bauer;Joseph T. Lizier;Joseph T. Lizier

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

    Leonardo Novelli;Patricia Wollstadt;Pedro A. M. Mediano;Michael Wibral

  • Bits from Biology for Computational Intelligence

    Michael Wibral;Joseph T. Lizier;Viola Priesemann

  • Spatiotemporal anomaly detection in gas monitoring sensor networks

    X. Rosalind Wang;Joseph T. Lizier;Oliver Obst;Mikhail Prokopenko

Frequent Co-Authors

Mikhail Prokopenko
Mikhail Prokopenko University of Sydney
Michael Wibral
Michael Wibral University of Göttingen
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Melanie Mitchell
Melanie Mitchell Santa Fe Institute
James M. Shine
James M. Shine University of Sydney
John-Dylan Haynes
John-Dylan Haynes Charité - University Medicine Berlin
Gaute T. Einevoll
Gaute T. Einevoll Norwegian University of Life Sciences
Anthony N. Burkitt
Anthony N. Burkitt University of Melbourne
Michael Breakspear
Michael Breakspear University of Newcastle Australia
Alain Destexhe
Alain Destexhe Centre national de la recherche scientifique, CNRS

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