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NeuroDecodeR: a package for neural decoding in R.

Authors :
Meyers, Ethan M.
Source :
Frontiers in Neuroinformatics; 2024, p1-13, 13p
Publication Year :
2024

Abstract

Neural decoding is a powerful method to analyze neural activity. However, the code needed to run a decoding analysis can be complex, which can present a barrier to using the method. In this paper we introduce a package that makes it easy to perform decoding analyses in the R programing language. We describe how the package is designed in a modular fashion which allows researchers to easily implement a range of different analyses. We also discuss how to format data to be able to use the package, and we give two examples of how to use the package to analyze real data. We believe that this package, combined with the rich data analysis ecosystem in R, will make it significantly easier for researchers to create reproducible decoding analyses, which should help increase the pace of neuroscience discoveries. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16625196
Database :
Complementary Index
Journal :
Frontiers in Neuroinformatics
Publication Type :
Academic Journal
Accession number :
177126046
Full Text :
https://doi.org/10.3389/fninf.2023.1275903