Fig. 3: The influence of a cue varies across individuals.
From: Multimodal cue integration and learning in a neural representation of head direction
This figure shows data for the 15 flies from Fig. 2. a, An example fly navigating in the virtual environment with the dim visual cue (HD encoding accuracy = 0.80). The polar histogram shows offset distribution. b, Another fly in the same environment (HD encoding accuracy = 0.14). c, Individual variations in HD encoding accuracy correlate with bump width (P = 0.01, Pearson correlation). Data are from the first block where the dim visual cue was presented (200 s in duration). The dim cue produced the most individual variation (Extended Data Fig. 2). d, Model showing that, with the dim cue, small variations in ER amplitude produce strongly correlated changes in bump width and HD encoding accuracy. e, Individual variations in HD encoding accuracy do not correlate with bump amplitude (P = 0.18, Pearson correlation). All data are from the environment with the dim cue. f, Model showing that, with a dim cue, small variations in ER amplitude produce weakly correlated changes in bump amplitude and HD encoding accuracy.
