AIMC Topic: Broca Area

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Temporal structure of natural language processing in the human brain corresponds to layered hierarchy of large language models.

Nature communications Nov 26, 2025
Large Language Models (LLMs) offer a framework for understanding language processing in the human brain. Unlike traditional models, LLMs represent words and context through layered numerical embeddings. Here, we demonstrate that LLMs' layer hierarchy...
Humans Brain Language Female Young Adult Adult Male Deep Learning Models, Neurological Brain Mapping Natural Language Processing Comprehension Large Language Models Electrocorticography Broca Area
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Is it possible to detect cerebral dominance via EEG signals by using deep learning?

Medical hypotheses Jul 20, 2019
Each brain hemisphere is dominant for certain functions such as speech. The determination of speech laterality prior to surgery is of paramount importance for accurate risk prediction. In this study, we aimed to determine speech laterality via EEG si...
Humans Retrospective Studies Female Aged Young Adult Adult Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Adolescent Support Vector Machine Area Under Curve Electroencephalography Reference Values Fourier Analysis Dominance, Cerebral Broca Area Wernicke Area
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Classification of Overt and Covert Speech for Near-Infrared Spectroscopy-Based Brain Computer Interface.

Sensors (Basel, Switzerland) Sep 7, 2018
People suffering from neuromuscular disorders such as locked-in syndrome (LIS) are left in a paralyzed state with preserved awareness and cognition. In this study, it was hypothesized that changes in local hemodynamic activity, due to the activation ...
Humans Spectroscopy, Near-Infrared Speech Support Vector Machine Hemoglobins Healthy Volunteers Brain-Computer Interfaces Broca Area
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