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Neo: an object model for handling electrophysiology data in multiple formats
0 references·8 citing·21 second hop
Neo: an object model for handling electrophysiology data in multiple formats (2014)Neo: an object model for handling electro…Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience (2018)Uncertainpy: A Python Toolbox…An overview of online based platforms for sharing and analyzing electrophysiology data from big data perspective (2017)An overview of online based p…A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC (2017)A Collaborative Simulation-An…Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks (2016)Neurophysiological analytics …High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination (2016)High-Performance Computing in…Designing Workflows for the Reproducible Analysis of Electrophysiological Data (2016)Designing Workflows for the R…NSDF: Neuroscience Simulation Data Format (2015)NSDF: Neuroscience Simulation…NeuroManager: a workflow analysis based simulation management engine for computational neuroscience (2015)NeuroManager: a workflow anal…Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)A survey of data provenance in e-science (2005)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Integrating the Allen Brain Institute Cell Types Database into Automated Neuroscience Workflow (2017)Scientific workflow management and the Kepler system (2005)Being Sensitive to Uncertainty (2007)Provenance and scientific workflows (2008)Ten Simple Rules for Reproducible Computational Research (2013)Interactive notebooks: Sharing the code (2014)Policy: NIH plans to enhance reproducibility (2014)Exploring the Determinants of Blockchain Acceptance for Research Data Management (2022)Frontiers in Massive Data Analysis (2013)Worldwide initiatives to advance brain research (2016)The pathologies of big data (2009)A systematic review of systematic review process research in software engineering (2013)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Global Sensitivity Analysis. The Primer (2007)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)EasyVVUQ: A Library for Verification, Validation and Uncertainty Quantification in High Performance Computing (2020)UQpy: A general purpose Python package and development environment for uncertainty quantification (2020)Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows (2022)
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Cited by

  • 2018Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience111 cited
  • 2016High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination34 cited
  • 2015NSDF: Neuroscience Simulation Data Format17 cited
  • 2017A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC16 cited
  • 2016Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks14 cited
  • 2017An overview of online based platforms for sharing and analyzing electrophysiology data from big data perspective14 cited
  • 2015NeuroManager: a workflow analysis based simulation management engine for computational neuroscience12 cited
  • 2016Designing Workflows for the Reproducible Analysis of Electrophysiological Data11 cited

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