Estimating orientation in natural scenes: A spiking neural network model of the insect central complex
Fig 5
Performance across different natural scenes during rotation and translation.
(A) Mean RMSE (degrees) between ground truth and estimated heading during the probe trial with only visual information available, over 20 simulated seeds and 16 shifts of the panorama initial angle ± bootstrapped standard error (top), and total number of failed simulations for each natural scene, where the bump of activity is lost (bottom). Scenes are separated into camera rotation only (left; 23 scenes), and circular translation and rotation (right; 10 scenes). (B-G) Comparisons of spiking and image properties between natural scenes with more than 1% failure rate, high or low variance. (B) Number of failures. (C) Mean ring neuron spikes. (D) Total number of ring neurons active. (E) Number of ring neurons with multi-directional receptive fields. (F) Mean over ring neuron activation correlation matrix. (G) Mean over video frame correlation matrix. (For all plots *** ANOVA p<0.001; ** ANOVA p<0.01; * ANOVA p<0.05).