Extended Data Fig. 8: Animal behaviour, prior to cue display, is predictive of reset speed.
From: Population dynamics of head-direction neurons during drift and reorientation
a. Triggered average of gain shows a sharp decrease after cue display (Two-sided Wilcoxon rank-sum test: average gain 1-second pre-cue versus average gain 1-second post-cue: p = 0.0228, Z = 2.28) (top). However, overall absolute head angular velocity (aHAV) does not seem to differ before and after cue display (Two-sided Wilcoxon rank-sum test: average aHAV 1-second pre-cue versus average aHAV 1-second post-cue: p = 0.6259, Z = 0.49) (bottom). Same reset events as in Fig. 2g,h (n = 42 events). b. Separation of signals in a. between fast (Light blue; n = 22 events) and slow (Dark blue; n = 20 events) resets shows similar gain amplitudes over a 1-second interval prior to cue display (Two-sided Wilcoxon rank-sum test: p = 0.3580, Z = 0.92) (top). However, aHAV is lower for fast resets compared with slow resets, over the same period (Two-sided Wilcoxon rank-sum test: p = 0.0294, Z = 2.18) (Bottom). c. Head angular velocity becomes more predictive of reset type closer to the moment of cue-display when compared with prediction performance based on gain amplitudes within the same time interval. Deviance of the fit is used as defined in Matlab’s mnrfit function for logistic regression. Data shown is same as in Fig. 2g,h. Time dependent signals, in a and b, are shown as mean ± s.e.m. and bar-graphs show mean ± s.e.m. with individual datapoints.
