emeyers/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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Maintainer | |
| License | GPL-3 |
| Version | 0.2.0 |
| URL | https://emeyers.github.io/NeuroDecodeR/ https://github.com/emeyers/NeuroDecodeR |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
