refractoring

src/forward.jl

@@ -47,9 +47,9 @@ function (kfn::kfn_1)(m::model, input_data::AbstractVector)
         end
 
         # clear variables
-        kfn.firedNeurons = Vector{Int64}()   
-        kfn.firedNeurons_t0 = Vector{Bool}()
-        kfn.firedNeurons_t1 = Vector{Bool}()
+        kfn.firedNeurons = Int64[] 
+        kfn.firedNeurons_t0 = Bool[]
+        kfn.firedNeurons_t1 = Bool[]
 
         kfn.learningStage = "learning"
         m.learningStage = kfn.learningStage

src/snn_utils.jl

@@ -421,9 +421,10 @@ function neuroplasticity!(n::outputNeuron, firedNeurons::Vector,
 
     # add new synaptic connection to neuron
     for (i, connIndex) in enumerate(zeroWeightConnIndex)
-        if length(nFiredPool) != 0 
-            newConn = popfirst!(nFiredPool) 
-        else
+        newConn::Int64 = 0
+        try
+            newConn = popfirst!(nFiredPool)
+        catch
             newConn = popfirst!(nNonFiredPool)
         end