Have you thought of using unchained pupillometry to infer effort/arousal with _uncontrolled_ visual stimulation? Sounds crazy? @yuqingc.bsky.social shows that convolutional modeling of pupil responses with gaze-contingent luminance changes finally allows just that! www.biorxiv.org/content/10.6...

A long while ago, w/ @yuqingc.bsky.social @psforscher.bsky.social @eikofried.bsky.social I registered a meta-research to study how socio-economic status (SES) was measured in cognitive neuroscience (osf.io/hwtxq) & we posted some very interesting (or alarming?) figure on X.

Out in Psychophysiology (OA): Typically, pupillometry struggles with complex stimuli. We introduced a method to study covert attention allocation in complex video stimuli - effects of top-down attention, bottom-up attention, and pseudoneglect could all be recovered. doi.org/10.1111/psyp.70036

#Neuroimaging crowd, hear me out! 👀 Did you ever want to add #EyeTracking to your #fMRI study but found it too much hassle? Got existing data you’d love to add eye tracking to? Consider trying out *MR-based eye tracking* (i.e. inferring gaze from eye voxels)! Here is a 🧵 with a few options!👇 1/9