Tracking neural coding of perceptual and semantic features of concrete nouns

We present a methodological approach employing magnetoencephalography (MEG) and machine learning techniques to investigate the flow of perceptual and semantic information decodable from neural activity in the half second during which the brain comprehends the meaning of a concrete noun. Important in...

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Vydané v:	NeuroImage (Orlando, Fla.) Ročník 62; číslo 1; s. 451 - 463
Hlavní autori:	Sudre, Gustavo, Pomerleau, Dean, Palatucci, Mark, Wehbe, Leila, Fyshe, Alona, Salmelin, Riitta, Mitchell, Tom
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Inc 01.08.2012 Elsevier Limited
Predmet:	Accuracy Adult Brain Brain Mapping - methods Comprehension - physiology Digitization Female Humans Knowledge representation Language comprehension Magnetoencephalography Magnetoencephalography - methods Male Nerve Net - physiology Semantics Studies Visual Perception - physiology Young Adult Language comprehension Semantics Magnetoencephalography Knowledge representation
ISSN:	1053-8119, 1095-9572, 1095-9572
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