diff --git a/usedMcode/noOfSynergies.m b/usedMcode/noOfSynergies.m
index 19ed5c0..f424a77 100644
--- a/usedMcode/noOfSynergies.m
+++ b/usedMcode/noOfSynergies.m
@@ -1,8 +1,12 @@
-addpath('/home/hohlochj/masterarbeit/usedMcode')
-pathToFile='/nfs/wsi/ti/messor/hohlochj/origData/';
-%pathToFile='/home/jph/Uni/masterarbeit/origData/';
+% addpath('/home/hohlochj/masterarbeit/usedMcode')
+% pathToFile='/nfs/wsi/ti/messor/hohlochj/origData/';
+pathToFile='/home/jph/Uni/masterarbeit/origData/';
 maxFile=5;
 
+maxSize=6;
+oneSubject=true;
+
+
 [subjects,numbers]=namesAndNumbers(pathToFile);
 numbersMat=cell2mat(numbers);
 subjectsForNumbers=cell(size(numbersMat,2),1);
@@ -15,6 +19,10 @@
     end
 end
 
+if oneSubject
+    numbersMat=numbersMat(1);
+end
+
 EMG=cell(size(numbersMat,2),1);
 
 parfor j=1:size(numbersMat,2)
@@ -26,11 +34,8 @@
 trainingData=cell2mat(EMG);
 
 
-
-maxSize=6;
-
 r2Autoenc=zeros([maxSize,size(trainingData,2)]);
-for i=1:maxSize
+parfor i=1:maxSize
     ae=trainAutoencoder(trainingData',i,'ShowProgressWindow',false);
     predicted=predict(ae,trainingData');
     r2Autoenc(i,:)=correlation2(trainingData,predicted');
@@ -46,7 +51,7 @@
 %PCA
 [COEFF,SCORE,latent] = pca(trainingData,'Centered',false);
 r2PCA=zeros([maxSize,size(trainingData,2)]);
-for i=1:maxSize
+parfor i=1:maxSize
     predicted=SCORE(:,1:i)*COEFF(:,1:i)';
     r2PCA(i,:)=correlation2(trainingData,predicted);   
 end
@@ -58,7 +63,7 @@
 
 %NNMF
 r2NNMF=zeros([maxSize,size(trainingData,2)]);
-for i=1:maxSize
+parfor i=1:maxSize
     [W,H]=nnmf(trainingData,i);
     predicted=W*H;
     r2NNMF(i,:)=correlation2(trainingData,predicted);
@@ -68,4 +73,4 @@
 plot(r2NNMF)
 title('NNMF')
 xlabel('number of syergies')
-ylabel('R^2')
\ No newline at end of file
+ylabel('R^2')