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Adaptive Tuning Curve Widths Improve Sample Efficient Learning
Natural brains perform miraculously well in learning new tasks from a small number of samples, whereas sample efficient learning is still a major open problem in the field of machine learning. Here, we raise the question, how the neural coding scheme affects sample efficiency, and make first progres...
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| 出版年: | Front Comput Neurosci |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7041413/ https://ncbi.nlm.nih.gov/pubmed/32132915 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2020.00012 |
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