diff --git a/usedMcode/callAll.m b/usedMcode/callAll.m
index fb574f2..366eb56 100644
--- a/usedMcode/callAll.m
+++ b/usedMcode/callAll.m
@@ -75,27 +75,30 @@
 %     correlationLFnnmf=zeros([j,noSynergies]);
     maxRidgeParamIndexEEGemg=zeros([j,noSynergies,k]);
     correlationEMGemg=zeros([j,noSynergies]);
+    maxRidgeParamIndexAutoecKin=zeros([j,noSynergies,k]);
+    correlationAutoecKin=zeros([j,noSynergies]);
     
     parfor j=1:size(numbersMat,2)
         number=numbersMat(j);
         subject=subjectsForNumbers{j};
         savePath=readAll(pathToFile,subject,number,windowEMG,windowEEG,shiftEMG,shiftEEG,maxFile,threshold,pburgOrder,minEEGFreq,maxEEGFreq,pause,noLFsamples,EMGChannels,noSynergies);
-        [meanAccurancysEMG(j),maxCEMG(j,:),cmScaledEMG(j,:,:)]=svmEciton(savePath,'EMG',k,maxExpC,maxPerClass,eegOffset);
-        [meanAccurancysEEG(j),maxCEEG(j,:),cmScaledEEG(j,:,:)]=svmEciton(savePath,'EEG',k,maxExpC,maxPerClass,eegOffset);
-        [meanAccurancysLF(j),maxCLF(j,:),cmScaledLF(j,:,:)]=svmEciton(savePath,'LF',k,maxExpC,maxPerClass,eegOffset);
-        [correlationEMGkin(j,:),maxRidgeParamIndexEMGkin(j,:,:)]=ridgeCV(savePath,'EMG','kin',k,ridgeParams,eegOffset);
-        [correlationEEGkin(j,:),maxRidgeParamIndexEEGkin(j,:,:)]=ridgeCV(savePath,'EEG','kin',k,ridgeParams,eegOffset);
-        [correlationLFkin(j,:),maxRidgeParamIndexLFkin(j,:,:)]=ridgeCV(savePath,'LF','kin',k,ridgeParams,eegOffset);
-        [correlationEMGautoenc(j,:),maxRidgeParamIndexEMGautoenc(j,:,:)]=ridgeCV(savePath,'EMG','Autoenc',k,ridgeParams,eegOffset);
-        [correlationEEGautoenc(j,:),maxRidgeParamIndexEEGautoenc(j,:,:)]=ridgeCV(savePath,'EEG','Autoenc',k,ridgeParams,eegOffset);
-        [correlationLFautoenc(j,:),maxRidgeParamIndexLFautoenc(j,:,:)]=ridgeCV(savePath,'LF','Autoenc',k,ridgeParams,eegOffset);
-        [correlationEMGpca(j,:),maxRidgeParamIndexEMGpca(j,:,:)]=ridgeCV(savePath,'EMG','PCA',k,ridgeParams,eegOffset);
-        [correlationEEGpca(j,:),maxRidgeParamIndexEEGpca(j,:,:)]=ridgeCV(savePath,'EEG','PCA',k,ridgeParams,eegOffset);
-        [correlationLFpca(j,:),maxRidgeParamIndexLFpca(j,:,:)]=ridgeCV(savePath,'LF','PCA',k,ridgeParams,eegOffset);
-        [correlationEMGnnmf(j,:),maxRidgeParamIndexEMGnnmf(j,:,:)]=ridgeCV(savePath,'EMG','NNMF',k,ridgeParams,eegOffset);
-        [correlationEEGnnmf(j,:),maxRidgeParamIndexEEGnnmf(j,:,:)]=ridgeCV(savePath,'EEG','NNMF',k,ridgeParams,eegOffset);
-        [correlationLFnnmf(j,:),maxRidgeParamIndexLFnnmf(j,:,:)]=ridgeCV(savePath,'LF','NNMF',k,ridgeParams,eegOffset);
+%         [meanAccurancysEMG(j),maxCEMG(j,:),cmScaledEMG(j,:,:)]=svmEciton(savePath,'EMG',k,maxExpC,maxPerClass,eegOffset);
+%         [meanAccurancysEEG(j),maxCEEG(j,:),cmScaledEEG(j,:,:)]=svmEciton(savePath,'EEG',k,maxExpC,maxPerClass,eegOffset);
+%         [meanAccurancysLF(j),maxCLF(j,:),cmScaledLF(j,:,:)]=svmEciton(savePath,'LF',k,maxExpC,maxPerClass,eegOffset);
+%         [correlationEMGkin(j,:),maxRidgeParamIndexEMGkin(j,:,:)]=ridgeCV(savePath,'EMG','kin',k,ridgeParams,eegOffset);
+%         [correlationEEGkin(j,:),maxRidgeParamIndexEEGkin(j,:,:)]=ridgeCV(savePath,'EEG','kin',k,ridgeParams,eegOffset);
+%         [correlationLFkin(j,:),maxRidgeParamIndexLFkin(j,:,:)]=ridgeCV(savePath,'LF','kin',k,ridgeParams,eegOffset);
+%         [correlationEMGautoenc(j,:),maxRidgeParamIndexEMGautoenc(j,:,:)]=ridgeCV(savePath,'EMG','Autoenc',k,ridgeParams,eegOffset);
+%         [correlationEEGautoenc(j,:),maxRidgeParamIndexEEGautoenc(j,:,:)]=ridgeCV(savePath,'EEG','Autoenc',k,ridgeParams,eegOffset);
+%         [correlationLFautoenc(j,:),maxRidgeParamIndexLFautoenc(j,:,:)]=ridgeCV(savePath,'LF','Autoenc',k,ridgeParams,eegOffset);
+%         [correlationEMGpca(j,:),maxRidgeParamIndexEMGpca(j,:,:)]=ridgeCV(savePath,'EMG','PCA',k,ridgeParams,eegOffset);
+%         [correlationEEGpca(j,:),maxRidgeParamIndexEEGpca(j,:,:)]=ridgeCV(savePath,'EEG','PCA',k,ridgeParams,eegOffset);
+%         [correlationLFpca(j,:),maxRidgeParamIndexLFpca(j,:,:)]=ridgeCV(savePath,'LF','PCA',k,ridgeParams,eegOffset);
+%         [correlationEMGnnmf(j,:),maxRidgeParamIndexEMGnnmf(j,:,:)]=ridgeCV(savePath,'EMG','NNMF',k,ridgeParams,eegOffset);
+%         [correlationEEGnnmf(j,:),maxRidgeParamIndexEEGnnmf(j,:,:)]=ridgeCV(savePath,'EEG','NNMF',k,ridgeParams,eegOffset);
+%         [correlationLFnnmf(j,:),maxRidgeParamIndexLFnnmf(j,:,:)]=ridgeCV(savePath,'LF','NNMF',k,ridgeParams,eegOffset);
         [correlationEEGemg(j,:),maxRidgeParamIndexEEGemg(j,:,:)]=ridgeCV(savePath,'EEG','EMG',k,ridgeParams,eegOffset);
+        [correlationAutoencKin(j,:),maxRidgeParamIndexAutoencKin(j,:,:)]=ridgeCV(savePath,'Autoenc','kin',k,ridgeParams,eegOffset);
         fprintf('%s%i finished %s\n',subject,number,datestr(datetime('now')))
     end
     
@@ -122,6 +125,7 @@
 %     [correlationEEGnnmf,maxRidgeParamIndexEEGnnmf(:,:)]=ridgeCV(savePath,'EEG','NNMF',k,ridgeParams,eegOffset);
 %     [correlationLFnnmf,maxRidgeParamIndexLFnnmf(:,:)]=ridgeCV(savePath,'LF','NNMF',k,ridgeParams,eegOffset);
     [correlationEEGemg,maxRidgeParamIndexEEGemg(:,:)]=ridgeCV(savePath,'EEG','EMG',k,ridgeParams,eegOffset);
+    [correlationAutoencKin,maxRidgeParamIndexAutoencKin(:,:)]=ridgeCV(savePath,'Autoenc','kin',k,ridgeParams,eegOffset);
     fprintf('%s%i finished %s\n',subject,number,datestr(datetime('now')))
     
     save(strcat(pathToFile,sprintf('../matlabData/%s_call%s%i-%s.mat',datestr(datetime('now')),subject,number,name)));
diff --git a/usedMcode/ridgeCV.m b/usedMcode/ridgeCV.m
index 403ff76..7311cd3 100644
--- a/usedMcode/ridgeCV.m
+++ b/usedMcode/ridgeCV.m
@@ -10,6 +10,8 @@
     elseif strcmp(data,'LF')
         eeg=true;
         trainingData=trainingDataEEGlf(eegOffset+1:end,:);
+    elseif strcmp(goal,'Autoenc')
+        trainingData=synergiesAutoenc;
     else
         error('only EEG, EMG and LF are valid inputs for data');
     end