Fig. 5: Menu updating of the value-threshold level and value representations.
a Normalized neuronal activity during the late fixation period (last 300 ms before reward delivery, rew). Same format as Fig. 4a. b Neuronal activity associated with choice-in conditions. For conditions from left to right n = 53, 51, 7, 53, 44, and 47 blocks. For multiple-menu comparisons (labeled with any number of *) from left to right P = 2.6 × 10−3, 5.8 × 10−8, 7.7 × 10−5. c Relative saccade latencies toward different value ranking targets across the 3 menus. All latencies are calculated relative to the 1st value ranking targets in the 3-values remaining menu. For conditions from left to right n = 53, 50, 14, 53, 40, and 53 blocks. For multiple-menu comparisons (labeled with any number of *) from top to down P = 1.7 × 10−10, 3.4 × 10−7, 0.011. d Neuronal activity associated with choice-out conditions. For conditions from left to right n = 49, 53, 49, 53, 53, 39, 53, 53, and 53 blocks. For multiple-value comparisons (labeled with any number of *) from top to down P = 8.5 × 10−66, 3.3 × 10−42, 4.0 × 10−14, 1.1 × 10−46, 1.4 × 10−18, 4.9 × 10−14. Data are presented for each value ranking when there were three values (3 V), two values (2 V), or one value (1 V) targets remaining in the array. n in (b–d) represents the number of blocks with more than 3 cases for the condition. For (b–d), source data are provided as a Source data file. For the boxplots, on each box, the central mark is the median, the edges of the box are the 25th and 75th percentiles, and the whiskers extend to the most extreme data points that the algorithm considers not to be outliers. Outliers are data points that are larger than Q3 + 1.5 × (Q3 − Q1) or smaller than Q1 − 1.5 × (Q3 − Q1), where Q1 and Q3 are the 25th and 75th percentiles, respectively (n.s., nonsignificant, *P < 0.05, **P < 0.01, ***P < 0.001; n-way ANOVA tests, post hoc tests were done with Bonferroni correction).
