diff --git a/src/learn.jl b/src/learn.jl
index cc17e6f..d5459b2 100644
--- a/src/learn.jl
+++ b/src/learn.jl
@@ -147,6 +147,7 @@ function learn!(n::alif_neuron, error::Number)
     ΔwRecChange = n.eta * error
     n.wRecChange = (n.subExInType * n.wRecChange) + ΔwRecChange
     reset_epsilonRec!(n)
+    reset_epsilonRecA!(n)
 end
 
 """ linear_neuron learn()
diff --git a/src/snn_utils.jl b/src/snn_utils.jl
index 5379163..32e0aa6 100644
--- a/src/snn_utils.jl
+++ b/src/snn_utils.jl
@@ -4,7 +4,7 @@ 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!,
-        cal_v_reg!, calculate_w_change_end!,
+        reset_epsilonRecA!,
         firing_rate_error!, firing_rate_regulator!, update_Bn!, cal_firing_reg!,
         neuroplasticity!, shakeup!, reset_learning_no_wchange!, adjust_internal_learning_rate!,
         gradient_withloss 
@@ -34,7 +34,7 @@ reset_v_t!(n::neuron) = n.v_t = n.vRest
 reset_z_t!(n::compute_neuron) = n.z_t = false
 reset_epsilonRec!(n::compute_neuron) = n.epsilonRec = n.epsilonRec * 0.0
 reset_epsilonRec!(n::output_neuron) = n.epsilonRec = n.epsilonRec * 0.0
-reset_epsilon_rec_a!(n::alif_neuron) = n.epsilonRecA = n.epsilonRecA * 0.0
+reset_epsilonRecA!(n::alif_neuron) = n.epsilonRecA = n.epsilonRecA * 0.0
 reset_epsilon_in!(n::compute_neuron) = n.epsilon_in = isnothing(n.epsilon_in) ? nothing : n.epsilon_in * 0.0
 reset_error!(n::Union{compute_neuron, linear_neuron}) = n.error = nothing
 reset_w_in_change!(n::compute_neuron) = n.w_in_change = isnothing(n.w_in_change) ? nothing : n.w_in_change * 0.0
@@ -75,7 +75,7 @@ reset_b_change!(n::linear_neuron) = n.b_change = n.b_change * 0.0
 # end
 # function reset_learning_no_wchange!(n::Union{alif_neuron, elif_neuron})
 #     reset_epsilonRec!(n)
-#     reset_epsilon_rec_a!(n)
+#     reset_epsilonRecA!(n)
 #     reset_v_t!(n)
 #     reset_z_t!(n)
 #     # reset_a!(n)
@@ -113,7 +113,7 @@ function resetLearningParams!(n::lif_neuron)
 end
 function resetLearningParams!(n::alif_neuron)
     reset_epsilonRec!(n)
-    reset_epsilon_rec_a!(n)
+    reset_epsilonRecA!(n)
     reset_wRecChange!(n)
     # reset_v_t!(n)
     # reset_z_t!(n)
@@ -300,10 +300,17 @@ end
 
 function synapticConnStrength(n::compute_neuron)
     for (i, connStrength) in enumerate(n.synapticStrength)
-        n.
-        synapticConnStrength
+        #WORKING
+        # check whether connStrength increase or decrease based on usage from n.epsilonRec
+
+        # compute synaptic strength for this conn
+
+        # apply conn lowerlimit and upperlimit
+
+        # at lowerlimit, mark wRec at this position to 0. for new random synaptic conn
 
 
+    end
 
 end