Unfold.jl: Leveraging Julia to fit fast and flexible Linear(Mixed)Models to EEG data with optional overlap correction or spline regression | Zendy

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Unfold.jl: Leveraging Julia to fit fast and flexible Linear(Mixed)Models to EEG data with optional overlap correction or spline regression

Author(s) -

Benedikt Ehinger

Publication year - 2021

Publication title -

journal of vision

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.126

H-Index - 113

ISSN - 1534-7362

DOI - 10.1167/jov.21.9.2497

Subject(s) - computer science , python (programming language) , artificial intelligence , toolbox , matlab , univariate , machine learning , multivariate statistics , programming language , operating system

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