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Analysis"},{"issue":"4","key":"pcbi.1006957.ref083","doi-asserted-by":"crossref","first-page":"1697","DOI":"10.1002\/mrm.27146","article-title":"Hemodynamic response function (HRF) variability confounds resting-state fMRI functional connectivity","volume":"80","author":"D Rangaprakash","year":"2018","journal-title":"Magnetic Resonance in Medicine"},{"issue":"11","key":"pcbi.1006957.ref084","doi-asserted-by":"crossref","first-page":"e1000219","DOI":"10.1371\/journal.pcbi.1000219","article-title":"A Low Dimensional Description of Globally Coupled Heterogeneous Neural Networks of Excitatory and Inhibitory Neurons","volume":"4","author":"RA Stefanescu","year":"2008","journal-title":"PLOS Computational Biology"},{"issue":"48","key":"pcbi.1006957.ref085","doi-asserted-by":"crossref","first-page":"12083","DOI":"10.1523\/JNEUROSCI.2965-15.2016","article-title":"The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition","volume":"36","author":"JR Cohen","year":"2016","journal-title":"The Journal of Neuroscience"},{"issue":"2","key":"pcbi.1006957.ref086","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1038\/s41593-018-0312-0","article-title":"Human cognition involves the dynamic integration of neural activity and neuromodulatory systems","volume":"22","author":"JM Shine","year":"2019","journal-title":"Nature Neuroscience"},{"issue":"6","key":"pcbi.1006957.ref087","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1016\/S0006-3495(61)86902-6","article-title":"Impulses and physiological states in theoretical models of nerve membrane","volume":"1","author":"R FitzHugh","year":"1961","journal-title":"Biophysical Journal"},{"issue":"2","key":"pcbi.1006957.ref088","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1385\/NI:2:2:127","article-title":"Online Retrieval, Processing, and Visualization of Primate Connectivity Data From the CoCoMac Database","volume":"2","author":"R Kotter","year":"2004","journal-title":"Neuroinformatics"},{"issue":"3","key":"pcbi.1006957.ref089","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1137\/0719041","article-title":"Numerical treatment of stochastic differential equations","volume":"19","author":"W R\u00fcemelin","year":"1982","journal-title":"SIAM Journal on Numerical Analysis"},{"key":"pcbi.1006957.ref090","unstructured":"Shine JM. Gain_topology; 2018. https:\/\/github.com\/macshine\/gain_topology."},{"key":"pcbi.1006957.ref091","doi-asserted-by":"crossref","first-page":"11","DOI":"10.3389\/frobt.2014.00011","article-title":"JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems","volume":"1","author":"JT Lizier","year":"2014","journal-title":"Frontiers in Robotics and AI"},{"key":"pcbi.1006957.ref092","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1007\/BFb0091924","volume-title":"Dynamical Systems and Turbulence, Warwick 1980. vol. 898 of Lecture Notes in Mathematics","author":"F Takens","year":"1981"},{"key":"pcbi.1006957.ref093","doi-asserted-by":"crossref","first-page":"051112","DOI":"10.1103\/PhysRevE.83.051112","article-title":"Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique","volume":"83","author":"L Faes","year":"2011","journal-title":"Physical Review E"},{"key":"pcbi.1006957.ref094","doi-asserted-by":"crossref","first-page":"022221","DOI":"10.1103\/PhysRevE.93.022221","article-title":"Leveraging information storage to select forecast-optimal parameters for delay-coordinate reconstructions","volume":"93","author":"J Garland","year":"2016","journal-title":"Physical Review E"},{"issue":"5","key":"pcbi.1006957.ref095","doi-asserted-by":"crossref","first-page":"194","DOI":"10.3390\/e19050194","article-title":"Criticality and Information Dynamics in Epidemiological Models","volume":"19","author":"EY Erten","year":"2017","journal-title":"Entropy"},{"issue":"8","key":"pcbi.1006957.ref096","doi-asserted-by":"crossref","first-page":"3227","DOI":"10.1002\/hbm.24072","article-title":"Predictable information in neural signals during resting state is reduced in autism spectrum disorder","volume":"39","author":"A Brodski-Guerniero","year":"2018","journal-title":"Human Brain Mapping"},{"key":"pcbi.1006957.ref097","doi-asserted-by":"crossref","unstructured":"Bossomaier T, Barnett L, Harr\u00e9 M, Lizier JT. An Introduction to Transfer Entropy: Information Flow in Complex Systems. Cham, Switzerland: Springer International Publishing; 2016. Available from: http:\/\/dx.doi.org\/10.1007\/978-3-319-43222-9.","DOI":"10.1007\/978-3-319-43222-9"},{"issue":"1","key":"pcbi.1006957.ref098","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1007\/s10827-010-0262-3","article-title":"Transfer Entropy\u2013a Model-free Measure of Effective Connectivity for the Neurosciences","volume":"30","author":"R Vicente","year":"2011","journal-title":"Journal of Computational Neuroscience"},{"issue":"1-2","key":"pcbi.1006957.ref099","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.pbiomolbio.2010.11.006","article-title":"Transfer entropy in magnetoencephalographic data: quantifying information flow in cortical and cerebellar networks","volume":"105","author":"M Wibral","year":"2011","journal-title":"Progress in Biophysics and Molecular Biology"},{"issue":"1","key":"pcbi.1006957.ref100","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1007\/s10827-010-0271-2","article-title":"Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity","volume":"30","author":"JT Lizier","year":"2011","journal-title":"Journal of Computational Neuroscience"},{"issue":"11","key":"pcbi.1006957.ref101","doi-asserted-by":"crossref","first-page":"e27431","DOI":"10.1371\/journal.pone.0027431","article-title":"Extending Transfer Entropy Improves Identification of Effective Connectivity in a Spiking Cortical Network Model","volume":"6","author":"S Ito","year":"2011","journal-title":"PLoS ONE"},{"key":"pcbi.1006957.ref102","doi-asserted-by":"crossref","unstructured":"Stramaglia S, Wu GR, Pellicoro M, Marinazzo D. Expanding the transfer entropy to identify information subgraphs in complex systems. In: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE; 2012. p. 3668\u20133671.","DOI":"10.1109\/EMBC.2012.6346762"},{"issue":"3","key":"pcbi.1006957.ref103","doi-asserted-by":"crossref","first-page":"670","DOI":"10.1523\/JNEUROSCI.2177-15.2016","article-title":"Rich-Club Organization in Effective Connectivity among Cortical Neurons","volume":"36","author":"S Nigam","year":"2016","journal-title":"Journal of Neuroscience"},{"issue":"23","key":"pcbi.1006957.ref104","doi-asserted-by":"crossref","first-page":"238701","DOI":"10.1103\/PhysRevLett.103.238701","article-title":"Granger causality and transfer entropy are equivalent for Gaussian variables","volume":"103","author":"L Barnett","year":"2009","journal-title":"Physical Review Letters"},{"key":"pcbi.1006957.ref105","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.jneumeth.2016.10.016","article-title":"Detectability of Granger causality for subsampled continuous-time neurophysiological processes","volume":"275","author":"L Barnett","year":"2017","journal-title":"Journal of Neuroscience Methods"},{"issue":"1","key":"pcbi.1006957.ref106","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.jneumeth.2009.07.014","article-title":"Confounding effects of indirect connections on causality estimation","volume":"184","author":"VA Vakorin","year":"2009","journal-title":"Journal of Neuroscience Methods"},{"key":"pcbi.1006957.ref107","unstructured":"Williams PL, Beer RD. Generalized Measures of Information Transfer. arXiv preprint arXiv:11021507. 2011;."},{"key":"pcbi.1006957.ref108","unstructured":"Williams P, Beer R. Decomposing multivariate information. arXiv preprint arXiv:10042515. 2010;."},{"issue":"4","key":"pcbi.1006957.ref109","doi-asserted-by":"crossref","first-page":"307","DOI":"10.3390\/e20040307","article-title":"Information Decomposition of Target Effects from Multi-Source Interactions: Perspectives on Previous, Current and Future Work","volume":"20","author":"JT Lizier","year":"2018","journal-title":"Entropy"},{"issue":"4","key":"pcbi.1006957.ref110","doi-asserted-by":"crossref","first-page":"297","DOI":"10.3390\/e20040297","article-title":"Pointwise partial information decomposition using the specificity and ambiguity lattices","volume":"20","author":"C Finn","year":"2018","journal-title":"Entropy"},{"issue":"3","key":"pcbi.1006957.ref111","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1137\/060652531","article-title":"Stability of Coupled Map Networks with Delays","volume":"5","author":"FM Atay","year":"2006","journal-title":"SIAM Journal on Applied Dynamical Systems"}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/dx.plos.org\/10.1371\/journal.pcbi.1006957","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T21:35:52Z","timestamp":1721856952000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1006957"}},"subtitle":[],"editor":[{"given":"Hermann","family":"Cuntz","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2019,10,15]]},"references-count":111,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2019,10,15]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1006957","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/581538","asserted-by":"object"}]},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,10,15]]}}}