Advertisement

< Back to Article

A probabilistic, distributed, recursive mechanism for decision-making in the brain

Fig 4

Monkey reaction times are consistent with (r)MSPRT using depleted discrimination information.

(a, b) Mean reaction time of monkeys (lines) with 99% Chebyshev confidence intervals (shading) and (r)MSPRT predictions for correct (a; Eq 14) and error trials (b; Eq 15) when using information-depleted statistics (MT parameter set Ωd). (r)MSPRT results are means of 100 simulations with 3200, 4800 total trials each for N = 2, 4, respectively. Confidence intervals become larger in error trials because monkeys made fewer mistakes for higher coherence levels. (c-f) ‘Violin’ plots of reaction time distributions (vertically plotted histograms reflected about the y-axis) from monkeys (red; 766–785, 1170–1217 total trials for N = 2, 4, respectively) and (r)MSPRT when using information-depleted statistics (blue; single Monte Carlo simulation with 800, 1200 total trials for N = 2, 4).

Fig 4

doi: https://doi.org/10.1371/journal.pcbi.1006033.g004