tag:joss.theoj.org,2005:/papers/tagged/information%20theoryJournal of Open Source Software2022-12-13T13:38:32ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/39372022-12-13T13:38:32Z2022-12-14T00:01:24Zcosasi: Graph Diffusion Source Inference in Pythonaccepted0.0.12022-10-03 18:27:51 UTC802022-12-13 13:38:32 UTC720224894LucasH.McCabeDigital and Analytic Solutions, Logistics Management Institute, Department of Mathematics, The George Washington University0000-0002-7383-282310.21105/joss.04894https://doi.org/10.5281/zenodo.7430558Pythonhttps://joss.theoj.org/papers/10.21105/joss.04894.pdfnetwork science, graph algorithms, network analysis, epidemics, simulation, communication, information theorytag:joss.theoj.org,2005:Paper/30732022-11-11T11:25:25Z2022-11-14T13:35:42ZFrites: A Python package for functional connectivity analysis and group-level statistics of neurophysiological dataacceptedv0.4.02021-09-21 12:11:23 UTC792022-11-11 11:25:25 UTC720223842EtienneCombrissonInstitut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, 13005, Marseille, France0000-0002-7362-3247RuggeroBasanisiInstitut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, 13005, Marseille, France0000-0003-4776-596XViniciusLimaCordeiroInstitut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, 13005, Marseille, France, Institut de Neurosciences des Systèmes, Aix-Marseille Université, UMR 1106 Inserm, 13005, Marseille, France0000-0001-7115-9041RobinA.aInceInstitute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK0000-0001-8427-0507AndreaBrovelliInstitut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, 13005, Marseille, France0000-0002-5342-133010.21105/joss.03842https://doi.org/10.5281/zenodo.7278278Pythonhttps://joss.theoj.org/papers/10.21105/joss.03842.pdfpython, cognitive neuroscience, computational neuroscience, neuroinformatics, neurophysiology, information theory, information-based measures, statistics, functional connectivity, fixed-effect ffx, random-effect rfx, cluster-based statistics, MEG EEG sEEG LFPs, Granger causalitytag:joss.theoj.org,2005:Paper/23852021-05-09T14:43:05Z2021-05-10T00:02:05Ztoqito -- Theory of quantum information toolkit: A Python package for studying quantum informationaccepted0.0.72021-02-11 23:48:36 UTC612021-05-09 14:43:05 UTC620213082VincentRussoISARA Corporation, Modellicity Inc.10.21105/joss.03082https://doi.org/10.5281/zenodo.4743211Pythonhttps://joss.theoj.org/papers/10.21105/joss.03082.pdfquantum information, quantum computing, entanglement, nonlocal games, matrix analysistag:joss.theoj.org,2005:Paper/10892020-03-09T14:15:39Z2021-02-15T11:32:00Zinfotheory: A C++/Python package for multivariate information theoretic analysisaccepted1.02019-07-04 02:37:22 UTC472020-03-09 14:15:39 UTC520201609MadhavunCandadaiCognitive Science Program, Indiana University, Bloomington, IN, U.S.A., School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, U.S.A.0000-0002-9254-8641EduardoJ.IzquierdoCognitive Science Program, Indiana University, Bloomington, IN, U.S.A., School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, U.S.A.0000-0002-2008-290X10.21105/joss.01609https://doi.org/10.5281/zenodo.3671994Python, C++https://joss.theoj.org/papers/10.21105/joss.01609.pdfinformation theory, multivariate data analysis, entropy, mutual information, partial information decompositiontag:joss.theoj.org,2005:Paper/7212019-02-19T02:29:11Z2021-02-15T11:32:49ZIDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networksacceptedv.0.4.02018-11-11 16:41:12 UTC342019-02-19 02:29:11 UTC420191081PatriciaWollstadtMEG Unit, Brain Imaging Center, Goethe-University Frankfurt, Fankfurt am Main, Germany0000-0002-7105-5207JosephT.LizierCentre for Complex Systems, Faculty of Engineering and IT, The University of Sydney, Sydney, Australia0000-0002-9910-8972RaulVicenteComputational Neuroscience Lab, Institute of Computer Science, Tartu, Estonia0000-0002-7894-6213ConorFinnCentre for Complex Systems, Faculty of Engineering and IT, The University of Sydney, Sydney, Australia, Data61, CSIRO, Epping, Australia0000-0001-8542-4205MarioMartinez-ZarzuelaCommunications and Signal Theory and Telematics Engineering, University of Valladolid, Valladolid, Spain0000-0002-6866-3316PedroMedianoComputational Neurodynamics Group, Department of Computing, Imperial College London, London, United Kingdom0000-0003-1789-5894LeonardoNovelliCentre for Complex Systems, Faculty of Engineering and IT, The University of Sydney, Sydney, Australia0000-0002-6081-3367MichaelWibralMEG Unit, Brain Imaging Center, Goethe-University Frankfurt, Fankfurt am Main, Germany, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany, Campus Institute for Dynamics of Biological Networks, Georg-August Universität, Göttingen, Germany0000-0001-8010-586210.21105/joss.01081https://doi.org/10.5281/zenodo.2554339Python, C, Matlab, Cudahttps://joss.theoj.org/papers/10.21105/joss.01081.pdfinformation theory, network inference, multivariate transfer entropy, mutual information, active information storage, partial information decompositiontag:joss.theoj.org,2005:Paper/5032018-06-11T10:33:54Z2021-02-15T11:33:21ZPhilentropy: Information Theory and Distance Quantification with Racceptedv0.2.02018-05-23 13:46:00 UTC262018-06-11 10:33:54 UTC32018765Hajk-GeorgDrostThe Sainsbury Laboratory, University of Cambridge, Bateman Street, Cambridge CB2 1LR, UK0000-0002-1567-306X10.21105/joss.00765https://doi.org/10.5281/zenodo.1286221R, C, C++https://joss.theoj.org/papers/10.21105/joss.00765.pdfinformation theory, distance metrics, probability functions, divergence quantification, jensen-shannon divergencetag:joss.theoj.org,2005:Paper/4822018-05-31T09:54:51Z2021-02-15T11:33:25Zdit: a Python package for discrete information theoryacceptedv1.2.02018-04-27 20:49:15 UTC252018-05-31 09:54:51 UTC32018738RyanG.JamesComplexity Sciences Center, Department of Physics, University of California at Davis0000-0003-2149-9085ChristopherJ.EllisonNoneJamesP.CrutchfieldComplexity Sciences Center, Department of Physics, University of California at Davis10.21105/joss.00738https://doi.org/10.5281/zenodo.1255350Python, C, PHPhttps://joss.theoj.org/papers/10.21105/joss.00738.pdfinformation theorytag:joss.theoj.org,2005:Paper/2912017-11-15T00:00:00Z2021-02-15T11:33:52ZMDEntropy: Information-Theoretic Analyses for Molecular Dynamicsacceptedv0.3.02017-10-02 18:13:23 UTC192017-11-15 00:00:00 UTC22017427CarlosX.HernándezStanford University0000-0002-8146-5904VijayS.PandeStanford University10.21105/joss.00427https://doi.org/10.5281/zenodo.1049032Pythonhttps://joss.theoj.org/papers/10.21105/joss.00427.pdfinformation theory, molecular dynamics, time-series