synaptic connection strength concept

src/snn_utils.jl

@@ -4,13 +4,13 @@ using Flux.Optimise: apply!
 export calculate_α, calculate_ρ, calculate_k, timestep_forward!, init_neuron, no_negative!,
         precision, calculate_w_change!, store_knowledgefn_error!, interneurons_adjustment!, 
         reset_z_t!, resetLearningParams!, reset_learning_history_params!, reset_epsilonRec!,
-        reset_epsilonRecA!,
+        reset_epsilonRecA!, synapticConnStrength!,
         firing_rate_error!, firing_rate_regulator!, update_Bn!, cal_firing_reg!,
         neuroplasticity!, shakeup!, reset_learning_no_wchange!, adjust_internal_learning_rate!,
         gradient_withloss 
 
 using Statistics, Random, LinearAlgebra, Distributions, Zygote, Flux
-
+using GeneralUtils
 using ..types
 
 #------------------------------------------------------------------------------------------------100
@@ -298,22 +298,21 @@ function synapticConnStrength(currentStrength::AbstractFloat, updown::String, bi
     return updatedStrength
 end
 
-function synapticConnStrength(n::compute_neuron)
+function synapticConnStrength!(n::Union{compute_neuron, output_neuron})
     for (i, connStrength) in enumerate(n.synapticStrength)
         #WORKING
         # check whether connStrength increase or decrease based on usage from n.epsilonRec
-
-        # compute synaptic strength for this conn
-
-        # apply conn lowerlimit and upperlimit
-
+        updown = n.epsilonRec[i] == 0.0 ? "down" : "up"
+        updatedConnStrength = synapticConnStrength(connStrength, updown)
+        updatedConnStrength = GeneralUtils.limitvalue(updatedConnStrength, 
+                        n.synapticStrengthLimit.lowerlimit, n.synapticStrengthLimit.upperlimit)
         # at lowerlimit, mark wRec at this position to 0. for new random synaptic conn
-
-
+        if updatedConnStrength == n.synapticStrengthLimit.lowerlimit[1]        
+            n.wRec[i] = 0.0
+        end
     end
-
 end
-
+function synapticConnStrength!(n::input_neuron) end