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Learning to Represent a Multi-Context Environment: More than Detecting Changes
Learning an accurate representation of the environment is a difficult task for both animals and humans, because the causal structures of the environment are unobservable and must be inferred from the observable input. In this article, we argue that this difficulty is further increased by the multi-c...
Autores principales: | Qian, Ting, Jaeger, T. Florian, Aslin, Richard N. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3400979/ https://www.ncbi.nlm.nih.gov/pubmed/22833727 http://dx.doi.org/10.3389/fpsyg.2012.00228 |
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