diff --git a/CSNN-Simulator/apps/Mnist.cpp b/CSNN-Simulator/apps/Mnist.cpp
index 0226f68d6ef0025e25df6b5c59a102c2e5b47cde..afd6d013eb7530300a7f3e86f7fe04f4bfc8ad36 100644
--- a/CSNN-Simulator/apps/Mnist.cpp
+++ b/CSNN-Simulator/apps/Mnist.cpp
@@ -45,7 +45,7 @@ int main(int argc, char** argv) {
 	experiment.template add_test<dataset::Mnist>(input_path+"t10k-images.idx3-ubyte", input_path+"t10k-labels.idx1-ubyte");
 
 	float th_lr = 1.0f;
-	float t_obj = 0.50f;
+	float t_obj = 0.75f;
 	float w_lr = 0.1f;
 	float alpha = 0.05f;
 
diff --git a/CSNN-Simulator/apps/MnistForSpiNNaker.cpp b/CSNN-Simulator/apps/MnistForSpiNNaker.cpp
index 65ed956e4557cea4032000306c5683030eb1c010..8513c89dc9a011454075e2c82ebee3967987b9be 100644
--- a/CSNN-Simulator/apps/MnistForSpiNNaker.cpp
+++ b/CSNN-Simulator/apps/MnistForSpiNNaker.cpp
@@ -34,7 +34,7 @@ int main(int argc, char** argv) {
 	experiment.template add_test<dataset::Mnist>(input_path+"t10k-images.idx3-ubyte", input_path+"t10k-labels.idx1-ubyte");
 
 	float th_lr = 1.0f;
-	float t_obj = 0.50f;
+	float t_obj = 0.75f;
 	float alpha = 0.05f;
 	float alpha_p= 0.01f;
 	float alpha_n= 0.005f;
diff --git a/CSNN-Simulator/src/Experiment.cpp b/CSNN-Simulator/src/Experiment.cpp
index f920be4477d0501ec06b344cc73c28b759f0b669..8e346ebb4a60738ed1ff538bbca59060fa0a6837 100644
--- a/CSNN-Simulator/src/Experiment.cpp
+++ b/CSNN-Simulator/src/Experiment.cpp
@@ -36,7 +36,7 @@ AbstractExperiment::AbstractExperiment(const std::string& name) :
 		std::cout << "Experiment renamed in " << _name << std::endl;
 	}
 
-	_isRandom = "";
+	_isRandom = "MY_5IM";
 	std::seed_seq seed(std::begin(_name), std::end(_name));
 	_random_generator.seed(seed);
 
diff --git a/CSNN-Simulator/src/layer/Convolution.cpp b/CSNN-Simulator/src/layer/Convolution.cpp
index 245c3559ee1f22e194155a8ba152388cb80d2952..b4efb5d80ed9833b167b70acab6e698887c11395 100644
--- a/CSNN-Simulator/src/layer/Convolution.cpp
+++ b/CSNN-Simulator/src/layer/Convolution.cpp
@@ -257,6 +257,7 @@ void _priv::DenseImpl::train(const std::vector<Spike>& input_spike, const Tensor
 			_a.at(0, 0, z) += w.at(spike.x, spike.y, spike.z, z);
 			// check if the voltage crossed the threshold
 			if(_a.at(0, 0, z) >= th.at(z)) {
+				_model.layer_Spikes+=1;
 				for(size_t z1=0; z1<depth; z1++) {
 					th.at(z1) -= _model._lr_th*(spike.time - _model._t_obj);
 
@@ -321,4 +322,4 @@ void _priv::DenseImpl::test(const std::vector<Spike>& input_spike, const Tensor<
 			}
 		}
 	}
-}
\ No newline at end of file
+}