Behavioral correlates of cortical semantic representations modeled by word vectors

The quantitative modeling of semantic representations in the brain plays a key role in understanding the neural basis of semantic processing. Previous studies have demonstrated that word vectors, which were originally developed for use in the field of natural language processing, provide a powerful...

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Veröffentlicht in:	PLoS computational biology 2021-06, Vol.17 (6), p.e1009138-e1009138
Hauptverfasser:	Nishida, Satoshi, Blanc, Antoine, Maeda, Naoya, Kado, Masataka, Nishimoto, Shinji
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adult Algorithms Auditory Perception - physiology Behavior Behavior - physiology Biology and Life Sciences Brain Brain - diagnostic imaging Brain - physiology Brain mapping Brain Mapping - statistics & numerical data Cognition Computational Biology Engineering and Technology Evaluation Experiments Female Functional magnetic resonance imaging Functional Neuroimaging - statistics & numerical data Human behavior Humans Information processing Labeling Language Magnetic resonance imaging Magnetic Resonance Imaging - statistics & numerical data Male Medicine and Health Sciences Middle Aged Modelling Models, Neurological Models, Psychological Motion Pictures Natural Language Processing Neural circuitry Neuroimaging Neurological research Perception Physical Sciences Physiological aspects Representations Research and Analysis Methods Semantics Social Sciences Visual Perception - physiology Words (language) Young Adult
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