Inverse transformed encoding models - a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding.
- DOI
- 10.1016/j.neuroimage.2019.116449
- Published
- 2020 Apr 1
- Container
- NeuroImage
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neuroimage.2019.116449,
title = {Inverse transformed encoding models - a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding.},
author = {Soch J and Allefeld C and Haynes JD},
year = {2020},
journal = {NeuroImage},
doi = {10.1016/j.neuroimage.2019.116449},
url = {https://doi.org/10.1016/j.neuroimage.2019.116449}
}RIS
TY - JOUR TI - Inverse transformed encoding models - a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding. AU - Soch J AU - Allefeld C AU - Haynes JD PY - 2020 JO - NeuroImage DO - 10.1016/j.neuroimage.2019.116449 UR - https://doi.org/10.1016/j.neuroimage.2019.116449 ER -
APA
J, S., C, A., & JD, H. (2020). Inverse transformed encoding models - a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding.. NeuroImage. https://doi.org/10.1016/j.neuroimage.2019.116449
Source records
- pubmed · retrieved 2026-09-26T17:13:06.493Z