Figure 2. Assistive decoders influence neural population dimensionality.
(A) Normalized participation ratio () for an example adaptive decoder learning series (same as in Fig. 1D). Error bars are 95% confidence intervals estimated via bootstrapping (see Methods). Note that most error bars are hidden by data point markers. (B) distributions for learning series with adaptive decoders (N = 7 for monkey J and N = 3 for monkey S). Control data is from 2 monkeys (P and R) using fixed decoders (data from [18]). (C) as a function of training duration in days. (D) before and after decoder adaptation, grouped by the type of change (with (right) and without (left) readout unit changes) across all series and monkeys (Weight change only: p = 0.16 (ns), N = 16; readout + weight change: p = 0.0039 (**), N = 9, for pre < post, one-sided Wilcoxon signed-rank test).