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Selection: Notebooks>>J>>. The Latest Releases: 16 records Driver, Audio, English, 11/14/, KB. Audio driver for Win2K/XP. History of open science practices in cognitive neuroscience . sound components, and researchers rarely share the code, image, or sound files used in experimental tasks. . The use of electronic notebooks, version control software, and ;30(9)– Acer Laptop Aspire AS AMD Athlon II Neo Dual-Core K ( GHz) 3 GB Memory GB HDD ATI Radeon HD " Windows 7 Home.

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Aopen Notebook 1551-OG Audio Driver

Methods reproducibility Concern about reproducible workflows and practices across the computational sciences has sharpened in similar ways 76 — While the specific Aopen Notebook 1551-OG Audio that make computations reproducible vary from one field to another, Sandve and colleagues 78 summarize a set of steps that have broad applicability to cognitive neuroscientists.

These include avoiding manual data manipulation steps using scripts not GUIs ; keeping careful track of the provenance history Aopen Notebook 1551-OG Audio all data, including derived results; tracking versions of all software and data; and providing public access to all code, outputs, and data. Several data analysis tools have been developed based on free open source languages like R RStudio; rstudio.

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The tools can be used with version control environments like git or mercurial, allowing the history of a project's data analysis to be captured. Version control software can Aopen Notebook 1551-OG Audio used to store and share software, analyses, manuscripts, and documents written in virtually any language both human and computer.

Coupled with web-based repositories like GitHub qithub. The use of electronic notebooks, version control software, and web-based open data repositories has begun to enable cognitive neuroscience researchers to produce open and transparent workflows that can be readily reproduced.

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The authors use many of these techniques in their own research workflows. Other efforts focus on methods reproducibility across study teams.

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BIDS attempts to achieve an easily implementable file directory and data structure that captures critical data and metadata about brain imaging studies and some data about the behavioral tasks performed by participants. On the data sharing side, modern platforms have picked up where pioneers like the fMRIDC left off, making it ever easier for researchers to distribute large neuroimaging datasets in a readily usable form.

A major Aopen Notebook 1551-OG Audio focused on methods and results reproducibility is the Stanford Center for Reproducible Neuroscience CRN; reproducibility.

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A long-term goal of the CRN is not only to facilitate sharing, but also to provide containerized, modular, and fully reproducible cloud-based tools that can be easily executed via a graphical web interface. This will bring reproducible state-of-the-art neuroimaging data analysis within reach of researchers who lack the resources to deploy their own pipelines locally One of us 82 has argued Aopen Notebook 1551-OG Audio many problems in reproducing the methods of behavioral studies could be ameliorated if video of all experimental procedures was more widely recorded and shared with researchers.

Aopen Notebook 1551-OG Audio methods sections with restrictive page or word limits simply can't convey sufficiently detailed information about a study's methods so that it can be reproduced by another researcher.

Sharing video can Aopen Notebook 1551-OG Audio privacy risks, but the Databrary databrary. Like OSF, Databrary has begun to serve as a web-based home for researchers to store and share data, metadata, and materials about the non-imaging-related portions of a study, including videos of experimental procedures, images, audio recordings, or displays. Databrary largely focuses on developmental and learning science research now, but may expand in the future. In sum, the field is making rapid strides to improve the reproducibility of methods with the emergence of new tools, practices, centers, web-based data management systems, and data repositories.

Results reproducibility Despite the Aopen Notebook 1551-OG Audio lack of consensus about how to measure and thereby evaluate results reproducibility 1 and the noted significant problems with statistical power, we find a number of encouraging developments concerning the reproducibility of results.

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Other research programs focus on addressing questions about the long-term within-subject stability of responses 89 — 90and how the accurate assessment of within-participant differences might address questions about individual differences There is increasing support for conducting and publishing the results of confirmatory studies 94 — 95thereby rectifying some existing biases that often favor Aopen Notebook 1551-OG Audio publication of new, novel results over confirmatory ones.

Several large-scale cross-site imaging studies whose results were designed to be widely shared with the research community have been undertaken e. Biobank Project.

Findings from these studies are beginning to appear 95 with results that both confirm and extend current understanding. Perhaps equally important is the extent to which planning for the large-scale sharing of Aopen Notebook 1551-OG Audio sorts of data has led to publication of extensive details about processing pipelines 96 and careful planning about how to Aopen Notebook 1551-OG Audio shared components useful to other researchers. Policy makers and publishers have taken a renewed interest in how the context in which scientific research is conducted and results shared can influence reproducibility.

Following on the success of the ArXiv preprint service, increasing numbers of cognitive neuroscientists have begun to deposit article preprints in the BioRxiv preprint service biorxiv.

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An effort specific to psychological science PsyArxiv; osf. There have Aopen Notebook 1551-OG Audio been recent developments to improve appropriate usage and Aopen Notebook 1551-OG Audio of statistical tests by means of automated tools such as statcheck statcheck. A related tool, P-curve www. While largely focused on the psychological science literature, these initiatives bear close watching by cognitive neuroscientists as they illustrate how the standardization of reporting practices can lead to insights about the quality of research practices and strength or weakness of evidence across a broad published literature In the case of statcheck, the system depends on the the fact that most experimental psychology papers report statistical analyses in ways that allow pertinent parameters to be automatically extracted from the published texts.

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Clearly, the diversity of efforts focused on bolstering the reproducibility Aopen Notebook 1551-OG Audio cognitive neuroscience results have considerable forward momentum. Inferential reproducibility Since the Bennett and Miller review on replicability, new tools and practices that promise to bolster the reproducibility of inferences have been created and are being adopted at an accelerating rate.

We highlight three: Meta-analysis, improved statistical practices, and machine learning.

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For meta-analysis to succeed, the statistical effects from a large number of disparate studies must be collected, normalized, and reported in standardized ways The variability in analysis and reporting practices across the cognitive neuroscience literature can make meta-analysis challenging. As a result, the creation and curation of large-scale brain imaging databases has been essential for the growth of meta-analysis as Aopen Notebook 1551-OG Audio inferential tool.

One of the oldest such systems devoted to supporting meta-analytic datasets and software is the BrainMap project www.

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