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A nonequilibrium-potential approach to competition in neural populations (2019)
Journal Article
Deza, R. R., Deza, I., Martínez, N., Mejías, J. F., & Wio, H. S. (2019). A nonequilibrium-potential approach to competition in neural populations. Frontiers in Physics, 6(154), https://doi.org/10.3389/fphy.2018.00154

Energy landscapes are a highly useful aid for the understanding of dynamical systems, and a particularly valuable tool for their analysis. For a broad class of rate neural- network models of relevance in neuroscience, we derive a global Lyapunov func... Read More about A nonequilibrium-potential approach to competition in neural populations.

Large-scale atmospheric phenomena under the lens of ordinal time-series analysis and information theory measures (2017)
Book Chapter
Deza, J. I., Tirabassi, G., Barreiro, M., & Masoller, C. (2018). Large-scale atmospheric phenomena under the lens of ordinal time-series analysis and information theory measures. In A. Tsonis (Ed.), Advances in Nonlinear Geosciences, 87-99. Springer International Publishing. https://doi.org/10.1007/978-3-319-58895-7_4

This review presents a synthesis of our work done in the framework of the European project Learning about Interacting Networks in Climate (LINC, climatelinc.eu). We have applied tools of information theory and ordinal time series analysis to investig... Read More about Large-scale atmospheric phenomena under the lens of ordinal time-series analysis and information theory measures.

Assessing the direction of climate interactions by means of complex networks and information theoretic tools (2015)
Journal Article
Deza, J. I., Barreiro, M., & Masoller, C. (in press). Assessing the direction of climate interactions by means of complex networks and information theoretic tools. Chaos, 25(3), 033105. https://doi.org/10.1063/1.4914101

An estimate of the net direction of climate interactions in different geographical regions is made by constructing a directed climate network from a regular latitude-longitude grid of nodes, using a directionality index (DI) based on conditional mutu... Read More about Assessing the direction of climate interactions by means of complex networks and information theoretic tools.

Inferring interdependencies in climate networks constructed at inter-annual, intra-season and longer time scales (2013)
Journal Article
Deza, J. I., Barreiro, M., & Masoller, C. (2013). Inferring interdependencies in climate networks constructed at inter-annual, intra-season and longer time scales. European Physical Journal - Special Topics, 222(2), 511-523. https://doi.org/10.1140/epjst/e2013-01856-5

We study global climate networks constructed by means of ordinal time series analysis. Climate interdependencies among the nodes are quantified by the mutual information, computed from time series of monthly-averaged surface air temperature anomalies... Read More about Inferring interdependencies in climate networks constructed at inter-annual, intra-season and longer time scales.


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