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Limitations to Estimating Mutual Information in Large Neural Populations
Information theory provides a powerful framework to analyse the representation of sensory stimuli in neural population activity. However, estimating the quantities involved such as entropy and mutual information from finite samples is notoriously hard and any direct estimate is known to be heavily b...
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| 出版年: | Entropy (Basel) |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7516973/ https://ncbi.nlm.nih.gov/pubmed/33286264 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22040490 |
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