Skip to main content
Advertisement

< Back to Article

Continuous action with a neurobiologically inspired computational approach reveals the dynamics of selection history

Fig 2

Results of the principal component regression (PCR) analysis.

(A) The regression coefficient (B) of the principal components predicts PoP. The three PCs are represented by dashed, dotted, and solid plots. Circle and triangle markers represent the significant reach distances (p<.05) in the early phase (11–36% distance) for PC2 and late phase (38–77% distance) for PC3, respectively. (B) Factor loadings of PC2. (C) Factor loadings of PC3. The distances between two vertical dashed lines correspond to the distances found significant in regression. PC2 was positively loaded by TSDN and negatively by TNDR in the early phase (between vertical dashed lines in Fig 3B), both containing prior distractor color features. PC3 was positively loaded by TNDS and negatively by TRDN in the late phase (between vertical dashed lines in Fig 2C), containing prior target color features. See supplementary information for the factor loadings of PC1 and the eigenvalues (Figs A and B in S2 Text).

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1011283.g002