Some important points from the article under the limitations section
- Each participant in the dataset spent up to 40 hours in the MRI machine to gather sufficient training data.
- Models were trained separately for every participant and are not generalizable across people.
Image limitations: MindEye is limited to the kinds of natural scenes used for training the model. For other image distributions, additional data collection and specialized generative models would be needed.
- … Non-invasive neuroimaging methods like fMRI not only require participant compliance but also full concentration on following instructions during the lengthy scan process. …
For anyone who hasn’t been in an MRI: 40 hours is a lot.
Those things are tight; not “look where you are going” tight, but you absolutely need to tell people beforehand that they will feel very uncomfortable inside, remind them that they can get out at any time, and show them how because they will not like being in there.
I wouldn’t spend 20 minutes in one if it were not important. I’d seriously push back on an hour. 40 hours is something I’d only do if that is absolutely necessary.
- Each participant in the dataset spent up to 40 hours in the MRI machine to gather sufficient training data.
- Models were trained separately for every participant and are not generalizable across people. Image limitations: MindEye is limited to the kinds of natural scenes used for training the model. For other image distributions, additional data collection and specialized generative models would be needed.
- … Non-invasive neuroimaging methods like fMRI not only require participant compliance but also full concentration on following instructions during the lengthy scan process. …