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
Gábor-Nelson's dipole estimation method offers a viable, low-barrier, imaging-independent alternative to traditional inverse modeling for non-invasive seizure phase tracking and opens pathways for scalable, phase-locked and closed-loop stimulation therapies in epilepsy and potentially other network-based brain disorder...
Kristóf Furuglyás, Márton Huszár-Kis, Bálint Horváth et al.· bioRxiv· 1 citation
OBJECTIVES
Distinguishing Idiopathic Generalized Epilepsy (IGE) from focal epilepsy (FE) can be challenging when IGE cases present with asymmetric clinical or electroencephalographic (i.e., atypical) features. We aimed to identify factors that lead to discordance in IGE diagnoses among epileptologists.
METHODS
41 pat...
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
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