NeuroDecodeR: Decode Information from Neural Activity

Neural decoding is method of analyzing neural data that uses a pattern classifiers to predict experimental conditions based on neural activity. 'NeuroDecodeR' is a system of objects that makes it easy to run neural decoding analyses. For more information on neural decoding see Meyers & Kreiman (2011) <doi:10.7551/mitpress/8404.003.0024>.

Package details

AuthorEthan Meyers [aut, cre]
MaintainerEthan Meyers <ethan.meyers@gmail.com>
LicenseGPL-3
Version0.2.0
URL https://emeyers.github.io/NeuroDecodeR/ https://github.com/emeyers/NeuroDecodeR
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("NeuroDecodeR")

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NeuroDecodeR documentation built on May 29, 2024, 4:40 a.m.