Graph-based data clustering via multiscale community detection by Zijing Liu, Mauricio Barahona

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Long- and short-term history effects in a spiking network model of statistical learning by Amadeus Maes, Mauricio Barahona, Claudia Clopath

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Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons. by Amadeus Maes, Mauricio Barahona, Claudia Clopath

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Relative, local and global dimension in complex networks by Robert Peach, Alexis Arnaudon, Mauricio Barahona

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Learning spatiotemporal signals using a recurrent spiking network that discretizes time. by Amadeus Maes, Mauricio Barahona, Claudia Clopath

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Identifying naturally occurring communities of primary care providers in the English National Health Service in London by Ara Darzi, Jonathan Clarke, Mauricio Barahona

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Edge-based formulation of elastic network models by Maxwell Hodges, Sophia N. Yaliraki, Mauricio Barahona

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Scale-dependent measure of network centrality from diffusion dynamics by Alexis Arnaudon, Robert L. Peach, Mauricio Barahona

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Multiscale mobility patterns and the restriction of human movement by Dominik J. Schindler, Jonathan Clarke, Mauricio Barahona

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Markov dynamics as a zooming lens for multiscale community detection: non clique-like communities and the field-of-view limit. by Michael T Schaub, Jean-Charles Delvenne, Sophia N Yaliraki, Mauricio Barahona

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Kernel-Based Independence Tests for Causal Structure Learning on Functional Data by Felix Laumann, Julius von Kügelgen, Junhyung Park, Bernhard Schölkopf, Mauricio Barahona

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New geographic model of care to manage the post-COVID-19 elective surgery aftershock in England: a retrospective observational study by Jonathan Clarke, Alice Murray, James Kinross, Mauricio Barahona, Sheraz Rehan Markar

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Emergence of Slow-Switching Assemblies in Structured Neuronal Networks. by Michael T Schaub, Yazan N Billeh, Costas A Anastassiou, Christof Koch, Mauricio Barahona

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Kernel-based joint independence tests for multivariate stationary and non-stationary time series by Zhaolu Liu, Robert L. Peach, Felix Laumann, Sara Vallejo Mengod, Mauricio Barahona

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Effect of timeframes to define long term conditions and sociodemographic factors on prevalence of multimorbidity using disease code frequency in primary care electronic health reco... by Azeem Majeed, Thomas Woodcock, Jonathan Clarke, Paul Aylin, Thomas Beaney, Mauricio Barahona

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Computation of Single-Cell Metabolite Distributions Using Mixture Models by Mona K. Tonn, Philipp Thomas, Mauricio Barahona, Diego A. Oyarzún, Diego A. Oyarzún

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Flow-Based Network Analysis of the Caenorhabditis elegans Connectome. by Karol A Bacik, Michael T Schaub, Mariano Beguerisse-Díaz, Yazan N Billeh, Mauricio Barahona

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Identifying multi-resolution clusters of diseases in ten million patients with multimorbidity in primary care in England by Thomas Beaney, Jonathan Clarke, David Salman, Thomas Woodcock, Azeem Majeed, Paul Aylin, Mauricio Barahona

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Identifying potential biases in code sequences in primary care electronic healthcare records: a retrospective cohort study of the determinants of code frequency by Azeem Majeed, Thomas Woodcock, Jonathan Clarke, Paul Aylin, Thomas Beaney, David Salman, Mauricio Barahona

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The ‘who’ and ‘what’ of #diabetes on Twitter by Mariano Beguerisse-Díaz, Amy K. McLennan, Guillermo Garduño-Hernández, Mauricio Barahona, Stanley J. Ulijaszek

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