Interconnected growing self-organizing maps for auditory and semantic acquisition modeling.

Cao, Mengxue; Li, Aijun; Fang, Qiang; Kaufmann, Emily; Kröger, Bernd J

Cao, Mengxue; Li, Aijun; Fang, Qiang; Kaufmann, Emily; Kröger, Bernd J.

Afiliación

Cao M; Laboratory of Phonetics and Speech Science, Institute of Linguistics, Chinese Academy of Social Sciences Beijing, China.
Li A; Laboratory of Phonetics and Speech Science, Institute of Linguistics, Chinese Academy of Social Sciences Beijing, China.
Fang Q; Laboratory of Phonetics and Speech Science, Institute of Linguistics, Chinese Academy of Social Sciences Beijing, China.
Kaufmann E; Department of Special Education, Faculty of Human Sciences, University of Cologne Cologne, Germany.
Kröger BJ; Neurophonetics Group, Department of Phoniatrics, Pedaudiology, and Communication Disorders, Medical School, RWTH Aachen University Aachen, Germany ; Cognitive Computation and Applications Laboratory, School of Computer Science and Technology, Tianjin University Tianjin, China.

Front Psychol ; 5: 236, 2014.

Article en En | MEDLINE | ID: mdl-24688478

Palabras clave

auditory feature map; auditorysemantic association; interconnected growing self-organizing map; language acquisition; neural network; neurocomputational models; semantic feature map

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Psychol Año: 2014 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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