Bayesian lesion-deficit inference with Bayes factor mapping: Key advantages, limitations, and a toolbox.

Sperber C, Gallucci L, Smaczny S, Umarova R

Open source

DOI
10.1016/j.neuroimage.2023.120008
Published
2023 May 1
Container
NeuroImage
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.neuroimage.2023.120008,
  title = {Bayesian lesion-deficit inference with Bayes factor mapping: Key advantages, limitations, and a toolbox.},
  author = {Sperber C and Gallucci L and Smaczny S and Umarova R},
  year = {2023},
  journal = {NeuroImage},
  doi = {10.1016/j.neuroimage.2023.120008},
  url = {https://doi.org/10.1016/j.neuroimage.2023.120008}
}

RIS

TY  - JOUR
TI  - Bayesian lesion-deficit inference with Bayes factor mapping: Key advantages, limitations, and a toolbox.
AU  - Sperber C
AU  - Gallucci L
AU  - Smaczny S
AU  - Umarova R
PY  - 2023
JO  - NeuroImage
DO  - 10.1016/j.neuroimage.2023.120008
UR  - https://doi.org/10.1016/j.neuroimage.2023.120008
ER  -

APA

C, S., L, G., S, S., & R, U. (2023). Bayesian lesion-deficit inference with Bayes factor mapping: Key advantages, limitations, and a toolbox.. NeuroImage. https://doi.org/10.1016/j.neuroimage.2023.120008

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