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Learning from the Past: Approaches for Reproducibility in Computational Neuroscience
16 references·13 citing·37 second hop
Learning from the Past: Approaches for Reproducibility in Computational Neuroscience (2013)Learning from the Past: Approaches for Re…Accessible Reproducible Research (2010)Accessible Reproducible Resea…Reproducible research in signal processing (2009)Reproducible research in sign…Reproducible research and Biostatistics (2009)Reproducible research and Bio…Replicability is not Reproducibility:Nor is it Good Science (2009)Replicability is not Reproduc…The CellML Model Repository (2008)The CellML Model RepositoryReproducible Research in Computational Harmonic Analysis (2008)Reproducible Research in Comp…Explaining the Brain (2007)Explaining the BrainExplaining the brain : mechanisms and the mosaic unity of neuroscience (2007)Explaining the brain : mechan…Why Most Published Research Findings Are False (2005)Why Most Published Research F…Why Most Published Research Findings Are False (2005)Why Most Published Research F…Taverna: lessons in creating a workflow environment for the life sciences (2005)Taverna: lessons in creating …Scientific workflow management and the Kepler system (2005)Scientific workflow managemen…Quality Assurance in Analytical Chemistry (2005)Quality Assurance in Analytic…Extending ourselves: computational science, empiricism, and scientific method (2005)Extending ourselves: computat…Extending Ourselves (2004)Extending OurselvesElectronic documents give reproducible research a new meaning (1992)Electronic documents give rep…Easy-MODA: Simplifying standardised registration of scientific simulation workflows through MODA template guidelines powered by the Enalos Cloud Platform (2024)Easy-MODA: Simplifying standa…Characterising reproducibility debt in scientific software: A systematic literature review (2024)Characterising reproducibilit…Neuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysis (2022)Neuroscience Cloud Analysis A…Evaluating the Reproducibility of Physiological Stress Detection Models (2020)Evaluating the Reproducibilit…Editorial: Reproducibility and Rigour in Computational Neuroscience (2020)Editorial: Reproducibility an…Successes and Struggles with Computational Reproducibility: Lessons from the Fragile Families Challenge (2019)Successes and Struggles with …A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows (2019)A demonstration of modularity…Credibility, Replicability, and Reproducibility in Simulation for Biomedicine and Clinical Applications in Neuroscience (2018)Credibility, Replicability, a…Challenges in Reproducibility, Replicability, and Comparability of Computational Models and Tools for Neuronal and Glial Networks, Cells, and Subcellular Structures (2018)Challenges in Reproducibility…“Reproducible” Research in Mathematical Sciences Requires Changes in our Peer Review Culture and Modernization of our Current Publication Approach (2018)“Reproducible” Research in Ma…Reproducibility and Comparability of Computational Models for Astrocyte Calcium Excitability (2017)Reproducibility and Comparabi…A collaborative approach to computational reproducibility (2016)A collaborative approach to c…An automated and reproducible workflow for running and analyzing neural simulations using Lancet and IPython Notebook (2013)An automated and reproducible…Workflow Management (2002)Workflow Patterns (2003)Provenance and scientific workflows (2008)FireWorks: a dynamic workflow system designed for high‐throughput applications (2015)WaveLab and Reproducible Research (1995)Statistical Analyses and Reproducible Research (2007)myExperiment: a repository and social network for the sharing of bioinformatics workflows (2010)CloVR: A virtual machine for automated and portable sequence analysis from the desktop using cloud computing (2011)Next-generation sequencing data interpretation: enhancing reproducibility and accessibility (2012)Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement (1999)Meta-analysis of Observational Studies in Epidemiology A Proposal for Reporting (2000)The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials (2001)False-Positive Psychology (2011)Power failure: why small sample size undermines the reliability of neuroscience (2013)Estimating the reproducibility of psychological science (2015)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)The Scientific Image (1980)The Structure of Scientific Revolutions (1996)The philosophical novelty of computer simulation methods (2008)Neural Computation and the Computational Theory of Cognition (2012)The cognitive neuroscience revolution (2015)When mechanistic models explain (2006)Understanding complexity in the human brain (2011)Neuroscience Needs Behavior: Correcting a Reductionist Bias (2017)An overview of the CellML API and its implementation (2010)The Physiome Model Repository 2 (2011)Reproducibility in systems biology modelling (2021)Provenance for Computational Tasks: A Survey (2008)The design and realisation of the Virtual Research Environment for social sharing of workflows (2008)A survey on provenance: What for? What form? What from? (2017)The New Statistics (2013)The ethics of algorithms: Mapping the debate (2016)Nonreductive Physicalism and the Limits of the Exclusion Principle (2009)The AHA! Experience: Creativity Through Emergent Binding in Neural Networks (2010)Insects have the capacity for subjective experience (2016)Modelling and representing: An artefactual approach to model-based representation (2011)Understanding from Machine Learning Models (2019)
this work references cited by second hop

References

  • 2005Why Most Published Research Findings Are False10,471 cited
  • 2005Why Most Published Research Findings Are False4,702 cited
  • 2005Scientific workflow management and the Kepler system1,681 cited
  • 2007Explaining the Brain1,558 cited
  • 2007Explaining the brain : mechanisms and the mosaic unity of neuroscience985 cited
  • 2005Taverna: lessons in creating a workflow environment for the life sciences656 cited
  • 2004Extending Ourselves550 cited
  • 2005Extending ourselves: computational science, empiricism, and scientific method487 cited
  • 2010Accessible Reproducible Research308 cited
  • 2008The CellML Model Repository276 cited
  • 2009Reproducible research in signal processing275 cited
  • 2008Reproducible Research in Computational Harmonic Analysis274 cited
  • 2009Reproducible research and Biostatistics237 cited
  • 2009Replicability is not Reproducibility:Nor is it Good Science231 cited
  • 1992Electronic documents give reproducible research a new meaning212 cited
  • 2005Quality Assurance in Analytical Chemistry176 cited

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Cited by

  • 2020Evaluating the Reproducibility of Physiological Stress Detection Models83 cited
  • 2018Credibility, Replicability, and Reproducibility in Simulation for Biomedicine and Clinical Applications in Neuroscience58 cited
  • 2022Neuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysis51 cited
  • 2019Successes and Struggles with Computational Reproducibility: Lessons from the Fragile Families Challenge47 cited
  • 2017Reproducibility and Comparability of Computational Models for Astrocyte Calcium Excitability40 cited
  • 2018Challenges in Reproducibility, Replicability, and Comparability of Computational Models and Tools for Neuronal and Glial Networks, Cells, and Subcellular Structures36 cited
  • 2018“Reproducible” Research in Mathematical Sciences Requires Changes in our Peer Review Culture and Modernization of our Current Publication Approach22 cited
  • 2013An automated and reproducible workflow for running and analyzing neural simulations using Lancet and IPython Notebook21 cited
  • 2024Easy-MODA: Simplifying standardised registration of scientific simulation workflows through MODA template guidelines powered by the Enalos Cloud Platform14 cited
  • 2020Editorial: Reproducibility and Rigour in Computational Neuroscience12 cited
  • 2024Characterising reproducibility debt in scientific software: A systematic literature review9 cited
  • 2016A collaborative approach to computational reproducibility9 cited
  • 2019A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows8 cited