Update README.md

README.md

@@ -113,7 +113,7 @@ are not assumed to be constant, but instead they are affected by noise drawn fro
 a lognormal distribution. In each trial, $\theta_{-1,i}$ is given
 by $c -  \epsilon_i$. Likewise,  $\theta_{1,i}$ is given by
 $c + \epsilon_i$. The noise $\epsilon_i$ is drawn from a lognormal distribution with
-the location parameter $\mu_{R,i} =\log(x)$. Continue here. 
+the location parameter $\mu_{R,i} = \log\left(\left|\bar{\theta}_{R,i} - c\right|\right) - 0.5 \times \sigma^2$. Continue here. 
 $\mu_{R,i} =\log(\left|\overline{\theta}_{R,i}- c\right|) - 0.5 \times \sigma^{2}$ and
 scale parameter $\sigma$. $\sigma$ is a free parameter designed to
 quantify metacognitive ability. It is assumed that the criterion noise is perfectly