Figure 6. Classifier analysis.

The ability of a linear classifier to determine from the population of vlPFC neurons the: (a) current choice (low frequency [<0%] or high frequency [>0%]), or (b) stimulus coherence in four bins (<−50%, −50–0%, 0%–+50%, or >+50%). Results were computed using correct trials only in 300 ms time bins with 10 ms steps. Thick lines represent median decoding performance; dashed lines are the interquartile range. In the leftmost panel, the horizontal bar represents the range of the inferred times of the decision commitment for high (black), middle (dark gray), and low (light gray) coherence (the range is indicated by the large vertical bars). Choice- and coherence-decoding performance is aligned relative to different task epochs (from left to right): stimulus onset, inferred decision commitment, onset of joystick movement, and time of reward delivery. We did not conduct a classifier analysis on error trials because there was not enough data to generate reliable results.