Cut parameter manipulation that will be confusing due to some nonintu…

…itive effects of increasing PFC input

ch9/stroop/README.md

@@ -64,7 +64,7 @@ Now that we have seen that the model accounts for several important aspects of t
 
 * Reduce the `From PFC` parameter in the ControlPanel from 0.3 to 0.25 and then do `Init` (critical to apply the change and restart the testing) and `Run` and look at the `Test Trial Plot` to see the results.
 
-You should see that the model is now significantly slower for the conflict color naming condition. This is the same pattern of data observed in frontal and schizophrenic patient populations [Cohen & Servan-Schreiber (1992)](#references).  Thus, we can see that the top-down activation coming from the PFC task units is specifically important for the controlled-processing necessary to overcome the prepotent word reading response. If you reduce the top-down strength even further (e.g., around 0.1), the network will start making errors in the color naming conflict condition (which you can see in the `Err` line in the plot -- you may need to unclick `RT` so the y-axis scales so you can view errors). You can also go the other way and increase the value to .32 which produces a selective reduction in color naming conflict cycles.  Note that to fit the model to the actual patient response times, one must adjust for overall slowing effects that are not present in the model, and the perceptual / motor offsets.
+You should see that the model is now significantly slower for the conflict color naming condition. This is the same pattern of data observed in frontal and schizophrenic patient populations [Cohen & Servan-Schreiber (1992)](#references). Thus, we can see that the top-down activation coming from the PFC task units is specifically important for the controlled-processing necessary to overcome the prepotent word reading response. Note that to fit the model to the actual patient response times, one must adjust for overall slowing effects that are not present in the model, and the perceptual / motor offsets. If you reduce the top-down strength even further (e.g., around 0.1), the network will start making errors in the color naming conflict condition (which you can see in the `Err` line in the plot -- you may need to unclick `RT` so the y-axis scales so you can view errors).  
 
 Although we have shown that reducing the PFC gain can produce the characteristic behavior of frontal patients and people with schizophrenia, it is still possible that other manipulations could cause this same pattern of behavior without specifically affecting the PFC. In other words, the observed behavior may not be particularly diagnostic of PFC deficits. For example, one typical side effect of neurological damage is that overall processing is slower -- what if this overall slowing had a differential impact on the color naming conflict condition? To test this possibility in the model, let's increase the time constant parameter `DtVmTau` in the control panel, which determines the overall rate of activation updating in the model.