Visual neurons drive two AI models to compete in generating neuron-preferred features. The models form shared local motifs, while neuronal preference shifts from texture to object structure over time, revealing dynamic changes in visual coding.
Our goal was to compare how visual neurons responded when tested with two different types of generative models. These models represent contrasting priors or visual languages: DeePSim produces textura… [+32862 chars]
