output neuron connect to random multiple compute neurons

src/Ironpen.jl

@@ -39,8 +39,6 @@ using .interface
                 (vth - vt)*100/vth as error 
             if output neuron activates when it should NOT, use output neuron's
                 (vt*100)/vth as error                       
-        [*4] output neuron connect to random multiple compute neurons and have the same structure
-            as lif
         [8] verify that model can complete learning cycle with no error
         [5] synaptic connection strength concept. use sigmoid
         [6] neuroplasticity() i.e. change connection
@@ -54,6 +52,8 @@ using .interface
         [DONE] add excitatory, inhabitory to neuron
         [DONE] implement "start learning", reset learning and "learning", "end_learning and
             "inference"
+        [DONE] output neuron connect to random multiple compute neurons and overall have 
+            the same structure as lif
 
     Change from version:    v06_36a
         -