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Evelina Fedorenko

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Open access Sep 2026

The language network does not support music perception across a range of music experience

Music and language share many similarities, yet music does not elicit a response in the language brain areas in adults with typical amounts of music experience, and patients with aphasia show preserved music ability. However, this dissociation might not generalize across development or expertise: it may not yet be pres...

Halie A. Olson, Xuanyi Jessica Chen, Dana Boebinger et al. · 0 citations
Open access Aug 2026

A language network in the individualized functional connectomes of 1199 human brains doing arbitrary tasks

A century and a half of neuroscience has yielded many divergent theories of the neurobiology of language. Two factors that likely contribute to this situation include (a) conceptual disagreement about language and its component processes, and (b) intrinsic inter-individual variability in the topography of language area...

Cory Shain, Evelina Fedorenko · 4 citations
Open access Aug 2026

Functional Identification of Language-Responsive Sensors in Individual Participants in MEG Investigations

Making meaningful inferences about the functional architecture of the language system requires the ability to refer to the same neural units across individuals and studies. Traditional brain imaging approaches align and average brains together in a common space. However, lateral frontal and temporal cortices, where the...

Mathias Huybrechts, R. Bruffaerts, Alvincé L. Pongos et al. · 1 citation
#artificial intelligence Preprint Sep 2026

CogGym: Towards Large-Scale Comparative Evaluation of Human and Machine Cognition

CogGym is introduced, a scalable, unified framework grounded in cognitive science for systematically comparing model and human behavior on matched experimental trials, and intends for CogGym to provide a living evaluation framework that continually incorporates new cognitive science experiments to characterize where mo...

Lance Ying, Jinzhou Wu, Y. Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Shared circuits predict whether LLMs generalize across formats in arithmetic reasoning

In many forms of reasoning, including arithmetic reasoning, generalizing across superficial changes in input format is effortless for humans: anyone who can solve 2+5 can also solve'two plus five'. In contrast, LLMs are more brittle to surface variations of the prompts: for example, they solve numeric arithmetic proble...

Andrea Gregor de Varda, Sana Pandey, Peng-Rui Han et al. · 0 citations
Open access Aug 2026

Preserved topography, lateralization, selectivity, and functional connectivity of the language network in older brains

Healthy aging is associated with structural and functional brain changes. However, cognitive abilities vary in how they change with age: executive functions decline, while aspects of linguistic processing remain relatively preserved. This heterogeneity predicts differences among brain networks in whether and how they c...

A. Billot, Niharika Jhingan, M. Varkanitsa et al. · 1 citation
Open access Aug 2026

Behavioral and Brain Responses to Language Reflect Different Levels of Linguistic Representation

Human language processing can be studied through both behavior and brain activity, yet it remains unclear whether these two data types reflect sensitivity to the same information. One influential view holds that both behavioral and neural responses are largely determined by processing effort, often estimated by word su...

Andrea Gregor de Varda, Y. Berzak, Evelina Fedorenko et al. · 0 citations

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