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Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies
Information that is shared across brains is encoded in idiosyncratic fine-scale functional topographies. Hyperalignment captures shared information by projecting pattern vectors for neural responses and connectivities into a common, high-dimensional information space, rather than by aligning topogra...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
eLife Sciences Publications, Ltd
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266639/ https://www.ncbi.nlm.nih.gov/pubmed/32484439 http://dx.doi.org/10.7554/eLife.56601 |