update TODO

src/Ironpen.jl

@@ -34,7 +34,6 @@ using .interface
 
 """ 
     Todo:
-        [*1] wRec should not normalized whole. it should be local 5 conn normalized.
         [3] verify that model can complete learning cycle with no error
         [2] neuroplasticity() i.e. change connection
         [] using RL to control learning signal
@@ -58,6 +57,7 @@ using .interface
         [DONE] use LinearAlgebra.normalize!(vector, 1) to adjust weight after weight merge 
         [DONE] reset_epsilonRec after ΔwRecChange is calculated
         [DONE] synaptic connection strength concept. use sigmoid, turn connection offline
+        [DONE] wRec should not normalized whole. it should be local 5 conn normalized.
 
     Change from version:    v06_36a
         - 

src/learn.jl

@@ -101,6 +101,7 @@ function learn!(kfn::kfn_1, correctAnswer::AbstractVector)
             nonFlipedSign = isequal.(n.subExInType, wSign)  # 1 not fliped, 0 fliped
             LinearAlgebra.normalize!(n.wRec, 1)
             n.wRec .*= nonFlipedSign  # set weight that fliped sign to 0 for random new connection
+            normalizePeak!(n.wRec, 2)
 
             synapticConnStrength!(n)
             #TODO neuroplasticity