Inverse transformed encoding models – a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding

Research article (NeuroImage, 2019) · cited 11× · AI/ML
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Inverse transformed encoding models – a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding

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Inverse transformed encoding models – a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Inverse transformed encoding models – a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding. Retrieved May 24, 2026, from https://4ort.xyz/entity/inverse-transformed-encoding-models-a-solution-to-the-problem-of-correlated-trial-by-trial-parameter-estimates-in-fmri-d
MLA “Inverse transformed encoding models – a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/inverse-transformed-encoding-models-a-solution-to-the-problem-of-correlated-trial-by-trial-parameter-estimates-in-fmri-d.
BibTeX @misc{4ortxyz_inverse-transformed-encoding-models-a-solution-to-the-problem-of-correlated-trial-by-trial-parameter-estimates-in-fmri-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Inverse transformed encoding models – a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding}}, year = {2026}, url = {https://4ort.xyz/entity/inverse-transformed-encoding-models-a-solution-to-the-problem-of-correlated-trial-by-trial-parameter-estimates-in-fmri-d}, note = {Accessed: 2026-05-24}}
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