Fig. 4: Characterization of low-dimensional task-related population activity.
From: Population-level coding of avoidance learning in medial prefrontal cortex
a, Mean projections (n = 80 repetitions) of neural data onto the five coding dimensions for avoid and error trials (top row) and ITI shuttles and random ITI periods (bottom row). b, VE by individual dimensions for avoid and error trials (distributions over 80 repetitions, mean and 95% CIs). c, Same as b for ITI shuttles. d, Pearson correlation coefficient between pairs of coding dimension projections (avoid and error projections concatenated; mean over 80 repetitions). e, Weight distributions for four example cells. We calculated how individual cells contributed to the five coding dimensions (Main) and normalized the weight values such that the sum of their absolute values was equal to 1. The following four examples show different types of distributions: (1) selective, (2 and 3) mixed-selective and (4) nonselective. f, Distribution of weight entropy values over all recorded cells. Black dots indicate the four example cells from e, and the dashed line indicates the maximum possible entropy. Ent., entropy.
