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Clique topology reveals intrinsic geometric structure in neural correlations
Detecting meaningful structure in neural activity and connectivity data is challenging in the presence of hidden nonlinearities, where traditional eigenvalue-based methods may be misleading. We introduce a novel approach to matrix analysis, called clique topology, that extracts features of the data...
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| I publikationen: | Proc Natl Acad Sci U S A |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
National Academy of Sciences
2015
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4640785/ https://ncbi.nlm.nih.gov/pubmed/26487684 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1506407112 |
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