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Efficient inference for time-varying behavior during learning
The process of learning new behaviors over time is a problem of great interest in both neuroscience and artificial intelligence. However, most standard analyses of animal training data either treat behavior as fixed or track only coarse performance statistics (e.g., accuracy, bias), providing limite...
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| 出版年: | Adv Neural Inf Process Syst |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6594567/ https://ncbi.nlm.nih.gov/pubmed/31244514 |
| タグ: |
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