Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Self-organizing map models of language acquisition
por: Li, Ping, et al.
Publicado: (2013) -
Emergence of an Action Repository as Part of a Biologically Inspired Model of Speech Processing: The Role of Somatosensory Information in Learning Phonetic-Phonological Sound Features
por: Kröger, Bernd J., et al.
Publicado: (2019) -
Semantic Elaboration in Auditory and Visual Spatial Memory
por: Taevs, Meghan, et al.
Publicado: (2010) -
Crossmodal Constraints on Human Perceptual Awareness: Auditory Semantic Modulation of Binocular Rivalry
por: Chen, Yi-Chuan, et al.
Publicado: (2011) -
Modeling the Mental Lexicon as Part of Long-Term and Working Memory and Simulating Lexical Access in a Naming Task Including Semantic and Phonological Cues
por: Stille, Catharina Marie, et al.
Publicado: (2020)