Fig. 7 | Nature Communications

Fig. 7

From: Distributed neural representation of saliency controlled value and category during anticipation of rewards and punishments

Fig. 7The alternative text for this image may have been generated using AI.

Principal component analysis of ensemble patterns in vmPFC. a Percentages of total variance explained by the first 5 PCs in each participant (n = 17). Each dot is a data point from a participant, and data from the same participant are connected by dashed lines. b Average histograms of loading coefficients for the first 3PCs. The frequency of loading coefficients falling under a particular bin was calculated separately for each participant. The mean and the SEM of frequencies in this bin were then obtained. This was repeated for all bins, spanning the entire range of loading coefficients. The mean frequencies in each bin are plotted here in the form of a histogram with error bars representing SEMs. c Summary of results of mixed-effect linear regression of the first 3 PCs on value, saliency, and category

Back to article page