tag:joss.theoj.org,2005:/papers/tagged/computational%20neuroscienceJournal of Open Source Software2024-01-11T22:46:25ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/47432024-01-11T22:46:25Z2024-01-12T00:05:23ZPhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain–Computer Interfaces and Extended Reality Experimentsacceptedv1.0.02023-09-09 02:37:52 UTC932024-01-11 22:46:25 UTC920245854Ziheng'Leo'LiColumbia University, New York, New York, United States of America0000-0001-5187-200XHaowen'John'WeiColumbia University, New York, New York, United States of America0000-0003-1856-5627ZiwenXieColumbia University, New York, New York, United States of America0009-0006-2304-7591YunxiangPengColumbia University, New York, New York, United States of America0009-0000-1824-970XJunePyoSuhColumbia University, New York, New York, United States of America0009-0005-1211-6101StevenFeinerColumbia University, New York, New York, United States of America0000-0001-9978-7090PaulSajdaColumbia University, New York, New York, United States of America0000-0002-9738-134210.21105/joss.05854https://doi.org/10.5281/zenodo.10471500Python, C++, Cythonhttps://joss.theoj.org/papers/10.21105/joss.05854.pdfneuroscience, human–computer interaction, brain-computer interface, multi-modality, virtual augmented realitytag:joss.theoj.org,2005:Paper/42602023-09-20T00:32:03Z2023-09-21T00:01:17ZSpikeometric: Linear Non-Linear Cascade Spiking Neural Networks with Pytorch Geometricacceptedv1.0.02023-02-23 16:23:51 UTC892023-09-20 00:32:03 UTC820235451JakobL.SønstebøDepartment of Numerical Analysis and Scientific Computing, Simula Research Laboratory, Oslo, Norway0009-0009-0584-9293HermanBrunborgDepartment of Physics, University of Oslo, Oslo, NorwayMikkelElleLepperødDepartment of Numerical Analysis and Scientific Computing, Simula Research Laboratory, Oslo, Norway, Department of Physics, University of Oslo, Oslo, Norway0000-0002-4262-554910.21105/joss.05451https://doi.org/10.5281/zenodo.8358903Pythonhttps://joss.theoj.org/papers/10.21105/joss.05451.pdfpython, computational neuroscience, machine learning, spiking neural networks, generalized linear models, linear non-linear poisson modelstag:joss.theoj.org,2005:Paper/44692023-09-12T03:11:54Z2023-09-14T02:59:51ZmTRFpy: A Python package for temporal response function analysisaccepted1.2.12023-05-03 15:17:43 UTC892023-09-12 03:11:54 UTC820235657OleBialasDepartment of Biomedical Engineering, University of Rochester, USA0000-0003-4472-7626JinDouDepartment of Biomedical Engineering, University of Rochester, USA0009-0000-0539-5951EdmundC.LalorDepartment of Biomedical Engineering, University of Rochester, USA, Department of Neuroscience, University of Rochester, USA0000-0002-2498-663110.21105/joss.05657https://doi.org/10.5281/zenodo.8321912Pythonhttps://joss.theoj.org/papers/10.21105/joss.05657.pdfelectrophysiology, temporal response function, cognitive neuroscience, computational neuroscience, TRFtag:joss.theoj.org,2005:Paper/34202022-12-08T21:58:29Z2022-12-09T03:31:51ZPyNM: a Lightweight Python implementation of Normative Modelingaccepted1.0.0b12022-03-11 18:20:42 UTC802022-12-08 21:58:29 UTC720224321AnnabelleHarveyCentre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, Université de Montréal, QC, Canada, Centre de Recherche du CHU Sainte-Justine, Université de Montréal, QC, Canada0000-0002-9940-8799GuillaumeDumasCentre de Recherche du CHU Sainte-Justine, Université de Montréal, QC, Canada, Mila - Quebec AI Institute, Université de Montréal, QC, Canada0000-0002-2253-184410.21105/joss.04321https://doi.org/10.5281/zenodo.7396721Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.04321.pdfNormative Modeling, Heterogeneity, Heteroskedasticity, Big Data, Centiles, LOESS, Gaussian Process, Stochastic Variational Gaussian Process, GAMLSS, Computational Psychiatry, Neurosciencetag: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/31512022-07-04T16:37:30Z2022-07-05T00:00:36ZNeuralFieldEq.jl: A flexible solver to compute Neural Field Equations in several scenariosacceptedv0.1.22021-11-02 22:16:16 UTC752022-07-04 16:37:30 UTC720223974TiagoSequeiraInstituto Superior Técnico - University of Lisbon0000-0001-8579-367610.21105/joss.03974https://doi.org/10.5281/zenodo.6226695Juliahttps://joss.theoj.org/papers/10.21105/joss.03974.pdfComputational Neuroscience, Neural Field Equations, Stochastic Processes, Delayed Equations, Fast Fourier Transformstag:joss.theoj.org,2005:Paper/29122022-01-14T13:58:43Z2022-01-15T00:01:28Zdiman: A Clojure Package for Dimensional Analysisacceptedv1.0.52021-07-30 20:42:39 UTC692022-01-14 13:58:43 UTC720223735LungsiSharmaRonin Institute0000-0002-1607-016410.21105/joss.03735https://doi.org/10.5281/zenodo.5837630Clojurehttps://joss.theoj.org/papers/10.21105/joss.03735.pdfneuroscience, modeling, simulation, quantitative analysis, scientific computingtag:joss.theoj.org,2005:Paper/29042021-09-12T20:20:29Z2021-09-12T20:20:29Zsorn: A Python package for Self Organizing Recurrent Neural Networkaccepted0.4.92021-07-24 23:26:00 UTC652021-09-12 20:20:29 UTC620213545SaranrajNambusubramaniyanIndian center for Robotics Innovation and Smart-intelligence(IRIS-i), India, Institute of Cognitive Science, Universität Osnabrück, Germany0000-0002-7314-026110.21105/joss.03545https://doi.org/10.5281/zenodo.5496017Pythonhttps://joss.theoj.org/papers/10.21105/joss.03545.pdfSpiking Neural Network, OpenAI Gym, Neuromorphic computing, Neuroscience, Self Organizing Networks, Hebbian Learning, Associative Networkstag:joss.theoj.org,2005:Paper/21272021-02-21T10:47:00Z2021-02-22T00:01:22ZMiTfAT: A Python-based Analysis Tool for Molecular fMRI Experiments.acceptedv0.1.72020-10-23 14:24:51 UTC582021-02-21 10:47:00 UTC620212827VahidS.BokharaieMax Planck Institute for Biological Cybernetics, Tuebingen, Germany0000-0001-6544-796010.21105/joss.02827https://doi.org/10.5281/zenodo.4543316Pythonhttps://joss.theoj.org/papers/10.21105/joss.02827.pdfComputational Neuroscience, fMRI Analysis, Machine Learning, Time-Series Analysis