Evolution of decision state for pure attractor model (left) and Bayesian attractor model (right) for different input strengths or different uncertainty parameters, respectively.

<p>There are two alternatives indicated by blue (alternative 1) and orange (alternative 2). Thinner lines indicate smaller stimulus strength. For the first 800ms, input reflecting alternative 1 was shown, with a switch to input caused by alternative 2 at 800ms. (A) In the pure attractor model speed and accuracy of initial and re-decisions is controlled by the input which we set to <b>I</b>_<i>t</i> = [Δ<i>tI</i>+<i>v</i>_<i>t</i>,0], if alternative 1 is correct, and <b>I</b>_<i>t</i> = [0,Δ<i>tI</i>+<i>v</i>_<i>t</i>], if alternative 2 is correct (<i>v</i>_<i>t</i> ∼