dev

src/learn.jl

@@ -567,6 +567,7 @@ function onLearn!(wOut,
 end
 
 alltrue(args...) = false ∈ [args...] ? false : true
+isbetween(x, lowerlimit, upperlimit) = lowerlimit < x < upperlimit ? true : false
 
 #WORKING 1) implement 90% +w, 10% -w    2) rewrite this function
 function neuroplasticity(synapseConnectionNumber, 
@@ -609,7 +610,7 @@ function neuroplasticity(synapseConnectionNumber,
 
         # -w, synapse with less than 10% of avg activity get reduced weight by eta
         mask_less = isless.(synapticActivityCounter, lowerlimit)   # 1st criteria
-        
+
         mask_3 = alltrue.(mask_activeSynapse, mask_less)
         mask_3 .*= 1 .- eta  # minor activity synapse weight will be reduced by eta
         wRec .*= mask_3
@@ -622,6 +623,7 @@ function neuroplasticity(synapseConnectionNumber,
 
         # prune weak connection
         # mark weak / negative synaptic connection so they will get randomed in neuroplasticity()
+        mask = isbetween.(wRec, 0.0, 0.01)
         wRec = GeneralUtils.replaceBetween.(wRec, 0.0, 0.01, -1.0)  # mark with -1.0
 
         #WORKING rewire synapse connection