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Unsupervised Learning Facilitates Neural Coordination Across the Functional Clusters of the C. elegans Connectome
Modeling of complex adaptive systems has revealed a still poorly understood benefit of unsupervised learning: when neural networks are enabled to form an associative memory of a large set of their own attractor configurations, they begin to reorganize their connectivity in a direction that minimizes...
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| Publicat a: | Front Robot AI |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7805867/ https://ncbi.nlm.nih.gov/pubmed/33501208 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2020.00040 |
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