Recent research has used large language models (LLMs) to study the neural basis of naturalistic language processing in the human brain. LLMs have rapidly grown in complexity, leading to improved language processing capabilities. Here, we utilized several families of transformer-based LLMs to investigate the relationshi...
Zhuoqiao Hong, Hao-Cheng Wang, Zaid Zada et al.· eLife· 0 citations
Humans are the only species with the ability to systematically combine words to convey an unbounded number of complex meanings. This process is guided by combinatorial processes whose underlying neural mechanisms remain obscured by inherent limitations of noninvasive brain measures and a near-total focus on comprehensi...
Adam M. Morgan, O. Devinsky, Werner K. Doyle et al.· Science Advances· 0 citations
Long-term outcomes in temporal lobe epilepsy depend not only on accurate localization and removal of epileptogenic tissue but also on how its connectivity is distributed across brain networks before surgery, which may represent a biomarker of late relapse.
V.Yu. Karpychev, Rebecca W. Roth, K. Davis et al.· Epilepsia· 0 citations
The model achieved high specificity in predicting long-term seizure recurrence, which supports its potential clinical utility for postoperative risk stratification and counseling rather than surgical exclusion and underscores the translational potential of network-level biomarkers to complement conventional predictors.
V.Yu. Karpychev, Rebecca W. Roth, William Yun et al.· Neurology· 1 citation
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