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. 2019 Apr 8;17(4):e3000054. doi: 10.1371/journal.pbio.3000054

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© 2019 Gámez et al

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Fig 11 — A. Temporal positions of the activation periods of the neurons that were included to the simulation of the 1,000-ms target interval trial (red), in addition to the position of the activation periods of neurons that also participated in the 450-ms simulation (shaded). B,C. Radius (B) and variability (C) of PCA trajectories generated from moving bump simulations when the number of neurons was modified by a constant number (−100, green; −50, cyan; +50, yellow; and +100, red) from the original number of neurons (208 neurons for 450-ms target interval, 220 neurons for 550-ms target interval, 230 neurons for 650-ms target interval, 270 neurons for 850-ms target interval, and 282 neurons for 1,000-ms target interval; blue) while the activation period was kept constant at 257 ms across target intervals. A two-way ANOVA on the radius showed significant main effects for number of neurons (F(4, 100) = 10,544.2, p < 0.0001), target interval (F(4, 100) = 4,013.12, p < 0.0001), and their interaction (F(16, 100) = 25.8, p < 0.0001). Tukey HSD post hoc test showed significant differences for the radii of all simulations with different numbers of neurons and for all target intervals (p < 0.05). Additionally, A two-way ANOVA on the variability showed significant main effects for number of neurons (F(4, 100) = 2,421.8, p < 0.0001), target interval (F(4, 100) = 3,476.91, p < 0.0001), and their interaction (F(16, 100) = 22.53, p < 0.0001). Tukey HSD post hoc test showed significant differences for the variability of all simulations with different numbers of neurons (p < 0.05). D,E. Radius (D) and variability (E) of the trajectories generated from neural moving bumps in which the duration of the activation periods was reduced by 50% (short, green) or increased by 50% (long, red) of the original scaled duration (197 ms for 450-ms target interval, 205 ms for 550-ms target interval, 213 ms for 650-ms target interval, 233 ms for 850-ms target interval, and 257 ms for 1,000-ms target interval; blue) while the number of neurons was kept constant at 130 across target intervals. A two-way ANOVA on the variability showed significant main effects for activation duration (F(2, 60) = 3,081.54, p < 0.0001), target interval (F(4, 60) = 2,801.16, p < 0.0001), and their interaction (F(8, 60) = 211.34, p < 0.0001). Tukey HSD post hoc test showed significant differences for all simulations with different activation durations (p < 0.05). In addition, a two-way ANOVA on the variability showed significant main effects for activation duration (F(2, 60) = 1,227.53, p < 0.0001), target interval (F(4, 60) = 257.49, p < 0.0001), and their interaction (F(8, 60) = 24.87, p < 0.0001). Tukey HSD post hoc test showed significant differences for all simulations with different activation durations (p < 0.05). Thus, the number of neurons and the activation duration within moving bumps produce large changes in the radius and variability of the simulated neural trajectories. a.u., arbitrary unit; HSD, honestly significant difference; PCA, principal component analysis.