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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 |
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Author | Ethan Meyers [aut, cre] |
Maintainer | Ethan Meyers <ethan.meyers@gmail.com> |
License | GPL-3 |
Version | 0.2.0 |
URL | https://emeyers.github.io/NeuroDecodeR/ https://github.com/emeyers/NeuroDecodeR |
Package repository | View on CRAN |
Installation |
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