Carlo Reverberi
@carloreve.bsky.social
Decisions, AI, brain and all the rest
Great work @marcociapparelli.bsky.social ! Well deserved publication! 😃 And with CerCor nice editing now reads like a charm!
Happy to share that our work on semantic composition is out now -- open access -- in Cerebral Cortex!
With Marco Marelli (@ercbravenewword.bsky.social), @wwgraves.bsky.social & @carloreve.bsky.social.
doi.org/10.1093/cerc...
With Marco Marelli (@ercbravenewword.bsky.social), @wwgraves.bsky.social & @carloreve.bsky.social.
doi.org/10.1093/cerc...
September 12, 2025 at 10:07 AM
Great work @marcociapparelli.bsky.social ! Well deserved publication! 😃 And with CerCor nice editing now reads like a charm!
Brilliant preprint by
@marcociapparelli.bsky.social
on compositionality in the semantic network. He used model-driven RSA to identify brain regions representing building blocks vs. compound meanings in concepts like cat-fish or cactus-beetle #compositionality #rsa Details below! 👇
@marcociapparelli.bsky.social
on compositionality in the semantic network. He used model-driven RSA to identify brain regions representing building blocks vs. compound meanings in concepts like cat-fish or cactus-beetle #compositionality #rsa Details below! 👇
🚨New preprint!🚨
1/7 Happy to share new work with Marco Marelli, @wwgraves.bsky.social & @carloreve.bsky.social! We re-analyze fMRI studies to identify which regions represent semantic information compositionally, and what operations best describe composition.
doi.org/10.1101/2025...
1/7 Happy to share new work with Marco Marelli, @wwgraves.bsky.social & @carloreve.bsky.social! We re-analyze fMRI studies to identify which regions represent semantic information compositionally, and what operations best describe composition.
doi.org/10.1101/2025...
Characterizing semantic compositions in the brain: A model-driven fMRI re-analysis
Semantic composition allows us to construct complex meanings (e.g., ''dog house'', ''house dog'') from simpler constituents (''dog'', ''house''). So far, neuroimaging studies have mostly relied on hig...
doi.org
May 2, 2025 at 10:19 AM
Brilliant preprint by
@marcociapparelli.bsky.social
on compositionality in the semantic network. He used model-driven RSA to identify brain regions representing building blocks vs. compound meanings in concepts like cat-fish or cactus-beetle #compositionality #rsa Details below! 👇
@marcociapparelli.bsky.social
on compositionality in the semantic network. He used model-driven RSA to identify brain regions representing building blocks vs. compound meanings in concepts like cat-fish or cactus-beetle #compositionality #rsa Details below! 👇