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An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case
Within computational neuroscience, the algorithmic and neural basis of structure learning remains poorly understood. Concept learning is one primary example, which requires both a type of internal model expansion process (adding novel hidden states that explain new observations), and a model reducti...
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| Publié dans: | Front Comput Neurosci |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Frontiers Media S.A.
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7250191/ https://ncbi.nlm.nih.gov/pubmed/32508611 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2020.00041 |
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