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...

Descripción completa

Detalles Bibliográficos
Autores principales: Haxby, James V, Guntupalli, J Swaroop, Nastase, Samuel A, Feilong, Ma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Neuroscience
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

Internet

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

Ejemplares similares