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Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification
Expectation learning is a unsupervised learning process which uses multisensory bindings to enhance unisensory perception. For instance, as humans, we learn to associate a barking sound with the visual appearance of a dog, and we continuously fine-tune this association over time, as we learn, e.g.,...
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| Izdano u: | Front Robot AI |
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| Glavni autori: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Frontiers Media S.A.
2019
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7806099/ https://ncbi.nlm.nih.gov/pubmed/33501152 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2019.00137 |
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