Reconciling shared versus context-specific information in a neural network model of latent causes
Abstract It has been proposed that, when processing a stream of events, humans divide their experiences in terms of inferred latent causes (LCs) to support context-dependent learning. However, when shared structure is present across contexts, it is still unclear how the “splitting” of LCs and learni...
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| Asıl Yazarlar: | , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2024-07-01
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| Seri Bilgileri: | Scientific Reports |
| Online Erişim: | https://doi.org/10.1038/s41598-024-64272-5 |
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