Extended Data Fig. 5: Comparison of GP tuning model and conventional parametric tuning model.
From: Single-neuron perturbations reveal feature-specific competition in V1
a, Model fit qualities for an example session, assessed on left-out data. Each dot is a single neuron, n = 358 neurons. GP model fit qualities were higher than those from the parametric tuning model, mean difference of 0.11, P = 5.02 × 10−60, Mann–Whitney U-test. b, Estimated preferred orientations of neurons were similar between models. Pearson correlation c = 0.88, calculated using only neurons significantly tuned to orientation. c, Estimated spatial frequency preferences of neurons were similar between models; c = 0.95 calculated using only neurons significantly tuned to spatial frequency. d, Signal correlations calculated from the two models were similar; c = 0.80. e, Noise correlations calculated from the two models were similar; c = 0.94.
