Update README.md

README.md

@@ -113,8 +113,8 @@ 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 $\mu_{R,i} = \log(\left| \theta_{R,i} - c\right|)$. Continue here. 
-$\mu_{R,i} =\log(\left|\overline{\theta}_{R,i}- c\right|) - 0.5 \times \sigma^{2}$ and
+the location parameter $\mu_{R,i} = \log(\left| \theta_{R,i} - c\right|)- 0.5 \times \sigma^{2}$. Continue here. 
+$\mu_{R,i} =\log(\left|\overline{\theta}_{R,i}- c\right|) $ and
 scale parameter $\sigma$. $\sigma$ is a free parameter designed to
 quantify metacognitive ability. It is assumed that the criterion noise is perfectly
 correlated across confidence criteria, ensuring that the confidence criteria