Fig. 2: Increasing cue intensity changes the bump profile.
From: Multimodal cue integration and learning in a neural representation of head direction
This figure shows data for 15 flies. a, EPG ΔF/F in the PB is used to infer the position of the EPG bump in the EB (green). When a visual cue is present, the bump tracks HD (blue). The offset between HD and bump is fairly constant when a bright visual HD cue is available. b, Offset distributions for the fly in a. Black lines are vector averages, with line length denoting HD encoding accuracy. Polar histograms are shown on the same scale. c, HD encoding accuracy in each condition. In c,d,f,g, single flies are shown in gray, mean values are shown in black and P values are shown (linear mixed-effects models with Tukey comparisons and Bonferroni corrections). d, Consistency of behavioral orienting in each condition. e, ΔF/F and fit (Extended Data Fig. 1) at two time points for the same fly. f, Bump width in each condition. g, Bump amplitude in each condition. h, Model of the effect of increasing cue intensity on HD encoding accuracy, EPG bump width, EPG bump amplitude and the range of ER → EPG weights (max–min). Mean of 100 simulation runs ± s.e.m. i, Model of the spatial profile of ER and EPG population activity at one HD for each condition. Bottom, ER → EPG weights at the end of each block. The maximum weight represents maximum inhibition. The bright cue produces a deeper notch in the weight matrix.
