Investigating individual-specific topographic organization has traditionally been a resource-intensive and time-consuming process. But what if we could map visual cortex organization in thousands of brains? Here we offer the community with a toolbox that can do just that! tinyurl.com/deepretinotopy

Really looking forward to #CCN2025!

On Tuesday, I'm presenting new work with @kathadobs.bsky.social on segregated vs. integrated face & body processing in visual cortex 😊🧍🧠

Using DNNs & fMRI, we test competing hypotheses, finding both distinct & shared selectivity.

Come by Poster A64 for more.

Very much looking forward to #CCN2025! Would love to see you at our lab's talks and posters, and meet me at the panel discussion in the Algonauts session on Wednesday!

We further disentangle word-derived dimensions from image-derived dimensions to answer in what way object representations differ when visual information is available vs absent

In this project, we uncovered 50 interpretable dimensions underlying word similarity judgments and showed that these dimensions more efficiently capture known semantic relationships than other semantic norms.

Curious about how people differentiate object words and how their mental representations compare to object images? Come check out my poster (F148) today at CNS! laurastoinski.com/website/Post... @martinhebart.bsky.social