Most visual neuroimaging experiments require participants to fixate on a point in the center of the screen during stimulus presentation. This is important because large parts of the visual system are retinotopically organized (a distorted retina-reflecting map). If participants freely move their eyes, the same image stimulates different parts of this cortical map. Eye movements can introduce strong confounds: models may end up decoding eye position on the cortical map and not stimulus-related cortical patterns. There is debate about the strict necessity of fixation though. It also reduces natural viewing behavior and may suppress activity in higher-level visual areas. In general, reconstruction on free-viewing datasets should be approached with caution.
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Right. When something goes wrong, who is responsible? The user? The developer? The lack of regulation? When the reality of AI clashes with the promise of AI, what do we do?
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For now, Apple isn't saying much, and it's possible I'm overthinking the crumbs they've given us.