Cargando…
Deep Residual Network Predicts Cortical Representation and Organization of Visual Features for Rapid Categorization
The brain represents visual objects with topographic cortical patterns. To address how distributed visual representations enable object categorization, we established predictive encoding models based on a deep residual network, and trained them to predict cortical responses to natural movies. Using...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830584/ https://www.ncbi.nlm.nih.gov/pubmed/29491405 http://dx.doi.org/10.1038/s41598-018-22160-9 |