Sign in

Miriam Hauptman

@miriam-hauptman.bsky.social
177 followers 271 following 7 posts

Postdoctoral researcher @stanford.edu, previously: PhD @jhu.edu concepts | language | plasticity | development | neuroscience m-hauptman.github.io

PostsRepliesMedia
Reposted by Miriam Hauptman
Tobias Gerstenberg @tobigerstenberg.bsky.social · 22/01/2026
Thanks @miriam-hauptman.bsky.social for sharing your work with us! How people learn about the visual world from language is mediated through causal models. Both sighted and blind people infer how many colors an object has based on how color ➡️ function. 📃 m-hauptman.github.io/files/Hauptm...
091
Miriam Hauptman @miriam-hauptman.bsky.social · 20/11/2025
New paper with Marina Bedny out in eLife (elifesciences.org/articles/101...). Main takeaway: Different kinds of causal knowledge are supported by different semantic brain networks - consistent with the "intuitive theories" framework from developmental psychology. 1/
elifesciences.org
Animacy semantic network supports causal inferences about illness
Making causal inferences about illness, compared to making causal inferences about mechanical breakdown and reading causally unconnected sentences, activates a semantic brain network implicated in the conceptual representation of animate entities (e.g. people, animals).
1299
Reposted by Miriam Hauptman
Hannah Small @hsmall.bsky.social · 24/09/2025
Excited to share new work with @hleemasson.bsky.social , Ericka Wodka, Stewart Mostofsky and @lisik.bsky.social! We investigated how simultaneous vision and language signals are combined in the brain using naturalistic+controlled fMRI. Read the paper here: osf.io/b5p4n 1/n
15011