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

Based on the incremental nature of knowledge acquisition, in this study we propose a growing self-organizing neural network approach for modeling the acquisition of auditory and semantic categories. We introduce an Interconnected Growing Self-Organizing Maps (I-GSOM) algorithm, which takes associati...

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Detalles Bibliográficos
Autores principales: Cao, Mengxue, Li, Aijun, Fang, Qiang, Kaufmann, Emily, Kröger, Bernd J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3960950/
https://www.ncbi.nlm.nih.gov/pubmed/24688478
http://dx.doi.org/10.3389/fpsyg.2014.00236

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3960950/
https://www.ncbi.nlm.nih.gov/pubmed/24688478
http://dx.doi.org/10.3389/fpsyg.2014.00236

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