time-based learning method based on new error formula

src/Ironpen.jl

@@ -34,14 +34,16 @@ using .interface
 
 """ 
     Todo:
-        [7] time-based learning method based on new error formula
+        [*6] time-based learning method based on new error formula 
+            (use output vt compared to vth instead of late time)
             if output neuron not activate when it should, use output neuron's 
                 (vth - vt)*100/vth as error 
             if output neuron activates when it should NOT, use output neuron's
-                (vt*100)/vth as error                       
-        [8] verify that model can complete learning cycle with no error
-        [5] synaptic connection strength concept. use sigmoid
-        [6] neuroplasticity() i.e. change connection
+                (vt*100)/vth as error            
+        [7] use LinearAlgebra.normalize!(vector, 1) to adjust weight after weight merge         
+        [9] verify that model can complete learning cycle with no error
+        [*5] synaptic connection strength concept. use sigmoid, turn connection offline
+        [8] neuroplasticity() i.e. change connection
         [] using RL to control learning signal
         [] consider using Dates.now() instead of timestamp because time_stamp may overflow
         [] training should include adjusting α, neuron membrane potential decay factor