change how to random neuron's initial weight

src/learn.jl

@@ -437,6 +437,7 @@ function neuroplasticity(synapticConnectionNumber,
     projection = ones(i1,i2,i3)
     zitMask = zitMask .* projection   # (row, col, n)
     totalNewConn = sum(isequal.(wRec, -1.0), dims=(1,2))    # count new conn mark (-1.0), (1, 1, n)
+    # println("neuroplasticity, from $synapticConnectionNumber, $totalNewConn are replaced")
 
     # clear -1.0 marker
     GeneralUtils.replace_elements!(wRec, -1.0, synapticInactivityCounter, -0.99)

src/snnUtil.jl

@@ -95,64 +95,6 @@ function addNewSynapticConn!(mask::AbstractArray{<:Any}, x::Number, wRec::Abstra
 end
 
 
-# function addNewSynapticConn!(mask::AbstractArray{<:Any}, x::Number, A::AbstractArray{<:Any}, 
-#                             A2::AbstractArray{<:Any}, n=0; 
-#                             rng::AbstractRNG=MersenneTwister(1234))
-#     # println("mask ", mask, size(mask))
-#     # println("")
-#     # println("x ", x, size(x))
-#     # println("")
-#     # println("A ", A, size(A))
-#     # println("")
-#     # println("A2 ", A2, size(A2))
-#     # println("")
-#     # println("n ", n, size(n))
-#     # println("")
-
-#     total_x_tobeReplced = sum(isequal.(mask, x))
-#     remaining = 0
-#     if n == 0 || n > total_x_tobeReplced
-#         remaining = n - total_x_tobeReplced
-#         n = total_x_tobeReplced
-#     end
-
-#     # check if mask and A have the same size
-#     if size(mask) != size(A)
-#         error("mask and A must have the same size")
-#     end
-#     # get the indices of elements in mask that equal x
-#     indices = findall(x -> x == x, mask)
-#     # shuffle the indices using the rng function
-#     shuffle!(rng, indices)
-#     # select the first n indices
-#     selected = indices[1:n]
-#     # replace the elements in A at the selected positions with a
-#     for i in selected
-#         A[i] = rand(0.1:0.01:0.3)
-#         if A2 !== nothing
-#             A2[i] = 10000
-#         end
-#     end
-#     # println("==================")
-#     # println("mask ", mask, size(mask))
-#     # println("")
-#     # println("x ", x, size(x))
-#     # println("")
-#     # println("A ", A, size(A))
-#     # println("")
-#     # println("A2 ", A2, size(A2))
-#     # println("")
-#     # println("n ", n, size(n))
-#     # println("")
-#     # error("DEBUG    addNewSynapticConn!")
-#     return remaining
-# end
-
-
-
-
-
-
 
 
 

src/type.jl

@@ -376,8 +376,8 @@ function wRec(row, col, n, synapticConnectionNumber)
     end
 
     # 10% of neuron connection should be enough to start to make neuron fires
-    should_be_avg_weight = 1 / (0.1 * synapticConnectionNumber)
-    w = w .* (should_be_avg_weight / maximum(w))    # adjust overall weight
+    avgWeight = sum(w)/length(w)
+    w = w .* (0.1 / avgWeight)    # adjust overall weight
 
     return w    #(row, col, n)
 end
@@ -423,8 +423,6 @@ end
 
 
 
-
-