Title: Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks 1.0

Type Software Rosenberg, David M., Horn, Charles C. (2016): Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks 1.0. Zenodo. Software. https://zenodo.org/record/51140

Authors: Rosenberg, David M. (University of Pittsburgh) ; Horn, Charles C. (University of Pittsburgh) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

This repository is associated with the following publication: -----------

Neurophysiological analytics for all!  Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks. *Journal of Neurophysiology* 2016 Apr 20:jn.00137.2016. doi: 10.1152/jn.00137.2016.

https://www.ncbi.nlm.nih.gov/pubmed/27098025

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Please see the above report for information on the notebooks and data. A temporary executable environment with working Jupyter notebooks can be initiated by clicking the Binder link in the GitHub repository

https://github.com/cchorn/Neurophysiological-Analytics-for-All

This work was supported by the National Institutes of Health (NIH), including the Stimulating Peripheral Activity to Relieve Conditions (SPARC) Program (award# U18EB021772) and a grant to the University of Pittsburgh Cancer Institute (award# P30CA047904, Cancer Center Support Grant).

Usage Notes: * Running the Jupyter notebooks will produce output files, including images, analyzed data, and shareable HTML copies of the notebooks, which are accessible by going to "Open ..." on the Jupyter File menu. * The spike sorting notebook needs to be run before the spike train notebook, which depends on a spike timestamp output file. * For offline file usage, Python and R dependencies are listed in the README documents in the Supplement folders.  

More information

• DOI: 10.5281/zenodo.51140

Subjects

• neurophysiology, open source, electronic laboratory notebook, Python, R, Jupyter, electrophysiology, neuroscience

Dates

• Publication date: 2016
• Issued: May 07, 2016

Rights

• https://creativecommons.org/publicdomain/zero/1.0/legalcode Creative Commons Zero v1.0 Universal
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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