Carlos R. Ponce

The paper uses heatmaps to show that neurons in the primate ventral visual stream encode animal features more than general objects, with this trend increasing through the visual hierarchy.

The paper predicts neuronal activity in one visual cortical area from another in single trials, with or without visual stimulation, in mice and macaques.

The paper investigates how visual neurons in areas V1, V4, and PIT align with image manifolds from deep generative models, finding that PIT neurons adapt to both texture and object representations over time.

This paper evolves synthetic stimuli using deep generative networks and genetic algorithms to maximize neuronal firing in macaque visual cortex, finding that these stimuli outperform natural images.