Macaques recognize features in synthetic images derived from ventral stream neurons.

ABSTRACT: Primates can recognize features in virtually all types of images, an ability that still requires a comprehensive computational explanation. One hypothesis is that visual cortex neurons learn patterns from scenes, objects, and textures, and use these patterns to interpolate incoming visual information. We have used machine learning algorithms to instantiate visual patterns stored by neurons-we call these highly activating images prototypes. Prototypes from inferotemporal (IT) neurons often resemble parts of real-world objects, such as monkey faces and body parts, a similarity established via pretrained neural networks [C. R. Ponce et al., Cell 177, 999-1009.e10 (2019)] and naïve human participants [A. Bardon, W. Xiao, C. R. Ponce, M. S. Livingstone, G. Kreiman, Proc.

SUBMITTER: Mueller KN 

PROVIDER: S-EPMC10013870 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature