update version

src/forward.jl

@@ -73,7 +73,7 @@ function (kfn::kfn_1)(m::model, input_data::AbstractVector)
         kfn.neuronsArray[i].z_t1 = data
     end
 
-    kfn.firedNeurons_t0 = [n.z_t for n in kfn.neuronsArray]    #TODO check if it is used?
+    kfn.firedNeurons_t0 = [n.z_t for n in kfn.neuronsArray]
 
     # Threads.@threads for n in kfn.neuronsArray
     for n in kfn.neuronsArray
@@ -93,7 +93,7 @@ function (kfn::kfn_1)(m::model, input_data::AbstractVector)
     outputNeuron_v_t1 = [n.v_t1 for n in kfn.outputNeuronsArray]
 
     return out::Array{Bool}, outputNeuron_v_t1::Array{Float64}, sum(kfn.firedNeurons_t1),
-            kfn.exSignalSum, kfn.inSignalsum
+            [i.ExInSignalSum for i in kfn.outputNeuronsArray]
 end
 
 #------------------------------------------------------------------------------------------------100
@@ -218,15 +218,15 @@ function (n::linearNeuron)(kfn::T) where T<:knowledgeFn
         n.vError = n.v_t1   # store voltage that will be used to calculate error later
     else
         recSignal = n.wRec .* n.z_i_t
-        if n.id == 1 #FIXME debugging output neuron dead
-            for i in recSignal
-                if i > 0
-                    kfn.exSignalSum += i
-                elseif i < 0
-                    kfn.inSignalsum += i
-                else
-                end
-            end
+        n.ExInSignalSum = 0.0   #CHANGE for ploting
+        for i in recSignal
+            # if i > 0
+            #     kfn.exSignalSum += i
+            # elseif i < 0
+            #     kfn.inSignalsum += i
+            # else
+            # end
+            n.ExInSignalSum += i
         end
         n.recSignal = sum(recSignal)  # signal from other neuron that this neuron subscribed
         n.alpha_v_t = n.alpha * n.v_t