In our final analysis, we use our novel regression procedure to jointly predict fMRI responses using EEG and stimulus features. We find that low-level visual features predict EVC activity with a short temporal latency and that communication is represented in the STS with the longest latency.

The EEG signal predicts early visual cortex (EVC) with a very short latency. However, mid-level and high-level regions in the lateral visual pathway are represented with a similar latency, suggesting that the lateral visual stream may not be organized in a strict feedforward hierarchy.

We find that visual social primitives, such as how far apart two people are in a video, are decodable from EEG earlier than social interactions features like whether two people are communicating.

I am excited to share our recent preprint and the last paper of my PhD! Here, @imelizabeth.bsky.social, @lisik.bsky.social, Mick Bonner, and I investigate the spatiotemporal hierarchy of social interactions in the lateral visual stream using EEG-fMRI.

osf.io/preprints/ps...

#CogSci #EEG

We also provide a computational framework for how this is accomplished in the mind and brain. This framework proposes exciting directions for future research.

We review behavioral, computational, and neuroimaging evidence that converge to suggest that social interaction perception is visual and distinct from higher level social processes like theory of mind.

In our new paper out today at Trends in Cognitive Science, @lisik.bsky.social and I argue that social interaction perception is a visual process–computed by the visual system. (1/3)

tinyurl.com/nhh2dhx

#PsychSciSky #CogSci #CogPsyc #compneuro