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Information-Theoretic Bounds and Approximations in Neural Population Coding
While Shannon’s mutual information has widespread applications in many disciplines, for practical applications it is often difficult to calculate its value accurately for high-dimensional variables because of the curse of dimensionality. This article focuses on effective approximation methods for ev...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Neural Comput |
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| Κύριοι συγγραφείς: | , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2018
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6343676/ https://ncbi.nlm.nih.gov/pubmed/29342399 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1162/neco_a_01056 |
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