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The language network is not engaged in object categorization

Yael Benn, Anna Ivanova, Oliver Clark, Zachary Mineroff, Chloe Seikus, Jack Santos Silva, Rosemary Varley, Evelina Fedorenko

Beyond linear regression: mapping models in cognitive neuroscience should align with research goals

Many cognitive neuroscience studies use large feature sets to predict and interpret brain activity patterns. Of crucial importance in all these studies is the mapping model, which defines the space of possible relationships between features and neural data.

Anna Ivanova, Martin Schrimpf, Stefano Anzellotti, Noga Zaslavsky, Evelina Fedorenko, Leyla Isik

Beyond linear regression: mapping models in cognitive neuroscience should align with research goals

Probabilistic atlas for the language network based on precision fMRI data from >800 individuals

Benjamin Lipkin, Greta Tuckute, Josef Affourtit, Hannah Small, Zachary Mineroff, Hope Kean, Olessia Jouravlev, Lara Rakocevic, Brianna Pritchett, Matthew Siegelman, Caitlyn Hoeflin, Alvincé Pongos, Idan A. Blank, Melissa Kline Struhl, Anna Ivanova, Steven Shannon, Aalok Sathe, Malte Hoffmann, Alfonso Nieto-Castañón, Evelina Fedorenko

The language network is recruited but not required for nonverbal event semantics

The ability to combine individual concepts of objects, properties, and actions into complex representations of the world is often associated with language. Yet combinatorial event-level representations can also be constructed from nonverbal input, such as visual scenes. Here, we test whether the language network in the human brain is involved in and necessary for semantic processing of events presented nonverbally.

Anna Ivanova, Zachary Mineroff, Vitor Zimmerer, Nancy Kanwisher, Rosemary Varley, Evelina Fedorenko