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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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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3960950/ https://ncbi.nlm.nih.gov/pubmed/24688478 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpsyg.2014.00236 |
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