Fig 4. Hybrid-natural models have better data efficiency for neural prediction.

a. Mean model performance (top) based on test data for SI and hybrid-natural (w = 0.2; n = 10 random seeds) with different training data sizes and mean difference between SI and hybrid-natural (bottom). b. Mean R-squared (top) of fitting a 2D Gaussian to spatial filters for green stimulus channel for SI and hybrid-natural (w = 0.2; n = 10 random seeds) with different training data sizes, and the mean difference between R-squared for SI and hybrid-natural (bottom). Error bars represent 2.5 and 97.5 percentiles with bootstrapping.