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
The human capacity to construct and share subjective experiences from diverse sensory inputs is central to human cognition, and is vividly exemplified through music listening. Direct, focused music perception has been extensively studied while free, imaginative listening, typical of real-world engagement with music, ha...
I. Jalon, Jamal A. Williams, K. E. Christianson et al.· Nature Communications· 0 citations
Neuroimaging dissociates specialized language regions from the domain-general multiple-demand (MD) network, yet the functional contribution of MD regions to language processing remains unresolved. Because MD recruitment during linguistic tasks is conventionally attributed to domain-general cognitive load, prior researc...
Miriam Havin, Meir Meshulam, Taelin Karidi et al.· bioRxiv· 0 citations
It is concluded that explaining how language can emerge from neural population codes, in both biological and artificial systems, will not be achieved through the incremental refinement of algebraic-symbolic theories but will demand new theoretical paradigms.
Samuel A. Nastase, Zaid Zada, A. Goldberg et al.· Neuron· 1 citation
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