diff --git a/neural-networks/seminarpaper.tex b/neural-networks/seminarpaper.tex
index d8eda16..e3bda8e 100644
--- a/neural-networks/seminarpaper.tex
+++ b/neural-networks/seminarpaper.tex
@@ -192,8 +192,10 @@ maxnames=2
   diffusion-based neuromodulation and compare them with respect to catastrophic
   forgetting. The results of the comparison being that modulated random search
   is not useful to combat catastrophic forgetting, modulated gaussian walk is
-  significantly better on that front and that the localized learning approach of
-  Velez and Clune overcomes catastrophic forgetting for small networks.
+  significantly better and likely useful for single task or combined feedback
+  situations. Localized learning overcomes catastrophic forgetting in a very
+  bespoke setup and more generally could be useful for situations with combined
+  tasks and distinct feedback for each task.
 
 % Lists:
 \setcounter{tocdepth}{2} 					% depth of the table of contents (for Seminars 2 is recommented)