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[Preprint]. 2024 Dec 4:2024.03.20.585972. Originally published 2024 Mar 20. [Version 2] doi: 10.1101/2024.03.20.585972

Figure 2. Assistive decoders influence neural population dimensionality.

Figure 2.

(A) Normalized participation ratio (PRnorm) 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) ΔPRnorm 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) PRnorm as a function of training duration in days. (D) PRnorm 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, PRnorm for pre < post, one-sided Wilcoxon signed-rank test).