Cargando…
Increasing neural network robustness improves match to macaque V1 eigenspectrum, spatial frequency preference and predictivity
Task-optimized convolutional neural networks (CNNs) show striking similarities to the ventral visual stream. However, human-imperceptible image perturbations can cause a CNN to make incorrect predictions. Here we provide insight into this brittleness by investigating the representations of models th...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775238/ https://www.ncbi.nlm.nih.gov/pubmed/34995280 http://dx.doi.org/10.1371/journal.pcbi.1009739 |