PublicationsUsingThisToolkit

List of publications including results which were produced using this toolkit

The publication introducing JIDT is:

J. T. Lizier, "JIDT: An information-theoretic toolkit for studying the dynamics of complex systems" Frontiers in Robotics and AI 1:11, 2014; doi:10.3389/frobt.2014.00011 (pre-print including supplementary info: arXiv:1408.3270)

Publications by other authors

Publications by other authors using JIDT to produce results include the following.

Please let me know if you have published a paper using JIDT so I can add it here!

• O. M. Cliff, M. Prokopenko, R. Fitch, "Minimising the Kullback–Leibler Divergence for Model Selection in Distributed Nonlinear Systems", Entropy, 20(2), 51, 2018.
• A. Lensen, B. Xue, M. Zhang, "Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming". In Proceedings of the 21st European Conference on Genetic Programming, 2018, Parma, Italy, April 2018.
• O. Berthold, "Evolving behaviour with empirical predictive information". In Proceedings of the Genetic and Evolutionary Computation Conference 2017, Berlin, Germany, July 15–19, 2017 (GECCO ’17).
• S. Lahiri, P. Nghe, S. J. Tans, M. L. Rosinberg, D. Lacoste "Information-theoretic analysis of the directional influence between cellular processes", PLoS ONE 12(11):e0187431, 2017.
• J. Park, H. Mori, Y. Okuyama, M. Asada, "Chaotic itinerancy within the coupled dynamics between a physical body and neural oscillator networks". PLoS ONE 12(8):e0182518, 2017.
• P. Warchol, "Buses of Cuernavaca - an agent-based model for universal random matrix behavior minimizing mutual information", arXiv:1709.10104, 2017.
• M. C. Andrews, J. Cursons, D. G. Hurley, M. Anaka, J. S. Cebon, A. Behren and E. J. Crampin, "Systems analysis identifies miR-29b regulation of invasiveness in melanoma", Molecular Cancer, 15:72, 2016.
• P. Wollstadt, K. K. Sellers, L. Rudelt, V. Priesemann, A. Hutt, F. Froehlich, M. Wibral, "The relation of local entropy and information transfer suggests an origin of isoflurane anesthesia effects in local information processing", arXiv:1608.08387, 2016
• D. G. Hurley, J. Cursons, Y. K. Wang, D. M. Budden, C. G. Print, and E. J. Crampin, "NAIL, a software toolset for inferring, analyzing and visualizing regulatory networks", Bioinformatics, in press, 2015.
• J. Rodewald, J. Colombi, K. Oyama, A. Johnson, "Using Information-theoretic Principles to Analyze and Evaluate Complex Adaptive Supply Network Architectures", Procedia Computer Science, 61, pp. 147-152, 2015.
• J. M. McCracken, "Exploratory Causal Analysis in Bivariate Time Series Data", Thesis, 2015.
• M. Harré, "Entropy and Transfer Entropy: The Dow Jones and the Build Up to the 1997 Asian Crisis", in H. Takayasu et al. (eds.), Proceedings of the International Conference on Social Modeling and Simulation, plus Econophysics Colloquium 2014, Springer Proceedings in Complexity, pp. 15-25, 2015.
• S. Dasgupta, F. Woergoetter, P. Manoonpong, "Information dynamics based self-adaptive reservoir for delay temporal memory tasks", Evolving Systems, 4(4), pp 235-249, 2013.
• J. Boedecker, A. Lazar, O. Obst, A. Zeman, "Effects of STDP and Intrinsic Plasticity on Information Dynamics in a Self-Organising Recurrent Neural Network", Sixth International Workshop on Guided Self-Organization, 2013. (abstract)

JIDT packaged inside other software:

• IDTxl by Wollstadt, Lizier, Vicente, Finn, Martinez Zarzeula, Lindner, Martinez Mediano, Novelli, Wibral -- a comprehensive toolkit for efficient inference of networks from multivariate time series data using information theory.
• HCTSA (Highly Comparative Time-Series Analysis) by Ben Fulcher
• NAIL (Network Analysis and Inference Library) by Daniel G. Hurley, Joseph Cursons, Yi Kan Wang, David M. Budden, Cristin G. Print, and Edmund J. Crampin
• FaultMap by Simon Streicher

Publications by contributors to JIDT:

Publications from the JIDT contributors using results produced by JIDT include (this is far from a complete list!):

• P. A. M. Mediano, M. Shanahan, "Balanced Information Storage and Transfer in Modular Spiking Neural Networks", arXiv:1708.04392, 2017.
• X. R. Wang, J. T. Lizier, T. Nowotny, A. Z. Berna, M. Prokopenko, S. C. Trowell, "Feature Selection for Chemical Sensor Arrays Using Mutual Information", PLoS ONE 9(3): e89840.
• 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.
• 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", in Frontiers in Neuroinformatics, vol. 8, no. 1, 2014.
• 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-Organization: Inception, edited by M. Prokopenko, pp. 115-158, Springer, Berlin/Heidelberg, 2014. -- See example code at demos/octave/CellularAutomata/GsoChapterDemo2013.m
• M. Wibral, N. Pampu, V. Priesemann, F. Siebenhuehner, H. Seiwert, M. Lindner, J.T. Lizier and R. Vicente, "Measuring information-transfer delays", PLOS ONE, vol. 8, no. 2, e55809, 2013. -- See example code at demos/octave/DetectingInteractionLags
• 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, pp. 177-197, 2013. -- See example code at demos/octave/CellularAutomata/movingFrame.m