Miriam Hauptman
@miriam-hauptman.bsky.social
PhD Candidate, Psychological & Brain Sciences, Johns Hopkins University
concepts | language | plasticity | development | neuroscience
https://m-hauptman.github.io/
concepts | language | plasticity | development | neuroscience
https://m-hauptman.github.io/
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/
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).
elifesciences.org
November 20, 2025 at 10:15 PM
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/
Reposted by Miriam Hauptman
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
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September 24, 2025 at 7:46 PM
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
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