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Self-organizing maps on “what-where” codes towards fully unsupervised classification
Interest in unsupervised learning architectures has been rising. Besides being biologically unnatural, it is costly to depend on large labeled data sets to get a well-performing classification system. Therefore, both the deep learning community and the more biologically-inspired models community hav...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258173/ https://www.ncbi.nlm.nih.gov/pubmed/37188974 http://dx.doi.org/10.1007/s00422-023-00963-y |