dev

src/learn.jl

@@ -470,7 +470,7 @@ function neuroplasticity(synapseConnectionNumber,
         
         # rewire synapse connection
         rewireSynapse!(wRec, neuronInactivityCounter, synapticActivityCounter, 
-                        synapseReconnectDelay, zitCumulative)
+                        synapseReconnectDelay, synapseConnectionNumber, zitCumulative)
         # error("DEBUG ->  neuroplasticity 1")
     elseif progress == 0    # no progress, no weight update, only rewire
         # -w all non-fire connection except mature connection
@@ -481,7 +481,7 @@ function neuroplasticity(synapseConnectionNumber,
 
         # rewire synapse connection
         rewireSynapse!(wRec, neuronInactivityCounter, synapticActivityCounter, 
-                        synapseReconnectDelay, zitCumulative)
+                        synapseReconnectDelay, synapseConnectionNumber, zitCumulative)
 
         # error("DEBUG ->  neuroplasticity")
     else

src/snnUtil.jl

@@ -119,8 +119,8 @@ function growRepeatedPath!(wRec, synapticActivityCounter, eta)
     # seperate active synapse out of inactive in this signal
     mask_activeSynapse = (!isequal).(synapticActivityCounter, 0)
 
-    # adjust weight based on vt progress and repeatition (80% +w, 20% -w) depend on epsilonRec
-    mask_more, mask_less, _ = rankMatrix(synapticActivityCounter, 0.2) # sort synapse from highest to lowest activity
+    # adjust weight based on vt progress and repeatition (40% +w, 60% -w) depend on epsilonRec
+    mask_more, mask_less, _ = rankMatrix(synapticActivityCounter, 0.6) # sort synapse from highest to lowest activity
     
     # +w, synapse with more than 10% of avg activity get increase weight by eta
     # mask_more = (!isless).(synapticActivityCounter, lowerlimit)
@@ -165,8 +165,9 @@ end
 function rewireSynapse!(wRec::AbstractArray, neuronInactivityCounter::AbstractArray, 
                         synapticActivityCounter::AbstractArray, 
                         synapseReconnectDelay::AbstractArray,
+                        synapseConnectionNumber::Integer,
                         zitCumulative::AbstractArray)
-    _,_,i3,i4 = size(wRec)                  
+    i1,i2,i3,i4 = size(wRec)                  
     for n in 1:i3   # neuron-by-neuron
         if neuronInactivityCounter[1,1,n,i4][1] < -100000     # neuron die i.e. reset all weight
             println("neuron $n die")