diff --git a/text/thesis/02MaterialsAndMethods.tex b/text/thesis/02MaterialsAndMethods.tex
index 1d9eb5a..8800d8b 100644
--- a/text/thesis/02MaterialsAndMethods.tex
+++ b/text/thesis/02MaterialsAndMethods.tex
@@ -238,7 +238,7 @@
     \begin{figure}
         \centering
         \includegraphics{experimentalDesign.jpg}
-        \caption{Center-out reaching task with four color-coded targets}
+        \caption{Center-out reaching task with four color-coded targets \cite{Shiman15}}
         \label{fig:experimentalDesign}
     \end{figure}
     Of the kinematic information tracked we only used position ($x,y$) and angle ($\theta$, rotation around $z$-axis) of the hand.\\
diff --git a/text/thesis/03Results.tex b/text/thesis/03Results.tex
index a1f4ef0..98e22fb 100644
--- a/text/thesis/03Results.tex
+++ b/text/thesis/03Results.tex
@@ -1,14 +1,24 @@
 \chapter{Results}
 \label{chp:results}
 \section{Number of Synergies}
-%TODO: plot, decision for 3
-%TODO: compare different number of synergies
+\label{res:noSyn}
+    To determine the number of synergies to use we predicted all EMG data with each technique and each number of synergies. The result is the plot in figure~\ref{fig:noSyn}.\\
+    The plot tells that 2 and 4 synergies are good values for Autoencoders, for default nevertheless we use 3 synergies since we also use 3 dimensions of kinematics and so it is better to compare. Three is also the most efficient number of Synergies for PCA and NNMF (cf. Section \ref{dis:noSyn}).
+    %TODO
+    \begin{landscape}
+        \begin{figure}
+            \centering
+            \includegraphics[height=\textwidth]{pictures/results/noSyn.png}
+            \caption{Self prediction accuracy with 1 to 6 synergies}
+            \label{fig:noSyn}
+        \end{figure}%TODO: check orientation
+    \end{landscape}
 \section{Classification}
     \subsection{Comparison of methods of recording}
         The different methods of recording (EEG, EMG and Low frequencies) also differ in the results. An ANOVA gives $p<0.001$ for all classifications done on 4 different movements and rest.
         \begin{figure}
             \centering
-            \includegraphics[width=0.9\textwidth]{pictures/results/classEEGemgLF.png}
+            \includegraphics[width=\textwidth]{pictures/results/classEEGemgLF.png}
             \caption{EEG, EMG and LF compared based on classification accuracy with 5 classes}
             \label{fig:classEEGemgLF}
         \end{figure}
@@ -44,12 +54,12 @@
             \includegraphics[width=\textwidth]{pictures/results/overviewEEGclass.png}
             \caption{Classification with EEG-data}
             \label{fig:overviewEEG}
-        \end{figure}
+        \end{figure}%TODO: landscape?
     \subsection{Low Frequencies}
         In figure~\ref{fig:overviewLF} the different settings for classification based on LowFrequency(LF)-data are shown. Default has values as in \ref{mat:default}. The runs with pause leave out the data 1 second before the movement begins (cf. \ref{mat:pause}). Runs with offset have an offset of 1 or 2 (cf. \ref{mat:offset}).
         \begin{figure}
             \centering
-            \includegraphics[width=\textwidth]{pictures/results/overviewLFclas.png}
+            \includegraphics[width=\textwidth]{pictures/results/overviewLFclass.png}
             \caption{Classification with LF-data}
             \label{fig:overviewLF}
         \end{figure}
@@ -78,7 +88,7 @@
             The over all performance is given in table \ref{tab:corrKin}.
             \begin{figure}
                 \centering
-                \includegraphics[width=0.9\textwidth]{pictures/results/corrEEGemgLF.png}
+                \includegraphics[width=\textwidth]{pictures/results/corrEEGemgLF.png}
                 \caption{EEG, EMG and LF compared based on prediction of velocities}
                 \label{fig:corrEEGemgLF}
             \end{figure}
@@ -116,7 +126,7 @@
             The over all performance is given in table \ref{tab:corrPos}.
             \begin{figure}
                 \centering
-                \includegraphics[width=0.9\textwidth]{pictures/results/corrEEGemgLFpos.png}
+                \includegraphics[width=\textwidth]{pictures/results/corrEEGemgLFpos.png}
                 \caption{EEG, EMG and LF compared based on prediction of positions}
                 \label{fig:corrEEGemgLFpos}
             \end{figure}
diff --git a/text/thesis/04Discussion.tex b/text/thesis/04Discussion.tex
index ec1341a..5125614 100644
--- a/text/thesis/04Discussion.tex
+++ b/text/thesis/04Discussion.tex
@@ -1 +1,5 @@
 \chapter{Discussion}
+    \section{Number of Synergies}
+    \label{dis:noSyn}
+        As shown in section~\ref{res:noSyn} 2 and 4 Synergies are good values for Autoencoder since the slope of the mean prediction is steeper before than after. Another neuron doesn't improve the result as much as the last.\\
+        For PCA and NNMF this value is reached at 3 as \ref{fig:noSyn} shows.
diff --git a/text/thesis/mylit.bib b/text/thesis/mylit.bib
index 4deb475..355a059 100755
--- a/text/thesis/mylit.bib
+++ b/text/thesis/mylit.bib
@@ -72,7 +72,7 @@
   publisher={Pergamon-Press}
 }
 @inproceedings{Spueler16,
-   author = {M. Spüler and N. Irastorza Landa and A. Sarasola Sanz and A. Ramos-Murguialday},
+   author = {M. Spüler and N. Irastorza-Landa and A. Sarasola Sanz and A. Ramos-Murguialday},
    title = {Extracting Muscle Synergy Patterns from EMG Data Using Autoencoders},
    booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2016},
    publisher = "Springer International Publishing",
diff --git a/text/thesis/pictures/results/classEEGemgLF.png b/text/thesis/pictures/results/classEEGemgLF.png
index f671cc4..b485dc6 100644
--- a/text/thesis/pictures/results/classEEGemgLF.png
+++ b/text/thesis/pictures/results/classEEGemgLF.png
Binary files differ
diff --git a/text/thesis/pictures/results/corrEEGemgLF.png b/text/thesis/pictures/results/corrEEGemgLF.png
index e5b4671..f23df90 100644
--- a/text/thesis/pictures/results/corrEEGemgLF.png
+++ b/text/thesis/pictures/results/corrEEGemgLF.png
Binary files differ
diff --git a/text/thesis/pictures/results/corrEEGemgLFpos.png b/text/thesis/pictures/results/corrEEGemgLFpos.png
index 49bb2cb..74fa7f5 100644
--- a/text/thesis/pictures/results/corrEEGemgLFpos.png
+++ b/text/thesis/pictures/results/corrEEGemgLFpos.png
Binary files differ
diff --git a/text/thesis/pictures/results/lfToAutoencPause.png b/text/thesis/pictures/results/lfToAutoencPause.png
index 82b83fc..2d8d322 100644
--- a/text/thesis/pictures/results/lfToAutoencPause.png
+++ b/text/thesis/pictures/results/lfToAutoencPause.png
Binary files differ
diff --git a/text/thesis/pictures/results/noSynergiesWithMean.png b/text/thesis/pictures/results/noSynergiesWithMean.png
deleted file mode 100644
index 4cf6903..0000000
--- a/text/thesis/pictures/results/noSynergiesWithMean.png
+++ /dev/null
Binary files differ
diff --git a/text/thesis/pictures/results/pauseEMG.png b/text/thesis/pictures/results/pauseEMG.png
index 6bd6855..9c1ee23 100644
--- a/text/thesis/pictures/results/pauseEMG.png
+++ b/text/thesis/pictures/results/pauseEMG.png
Binary files differ
diff --git a/text/thesis/pictures/results/predictEMGfromEEG.png b/text/thesis/pictures/results/predictEMGfromEEG.png
index df3a43f..eac408d 100644
--- a/text/thesis/pictures/results/predictEMGfromEEG.png
+++ b/text/thesis/pictures/results/predictEMGfromEEG.png
Binary files differ
diff --git a/text/thesis/pictures/results/predictKinfromEEG.png b/text/thesis/pictures/results/predictKinfromEEG.png
index ca42e37..73a24ff 100644
--- a/text/thesis/pictures/results/predictKinfromEEG.png
+++ b/text/thesis/pictures/results/predictKinfromEEG.png
Binary files differ
diff --git a/text/thesis/pictures/results/predictPosfromEEG.png b/text/thesis/pictures/results/predictPosfromEEG.png
index 8b58174..367a2be 100644
--- a/text/thesis/pictures/results/predictPosfromEEG.png
+++ b/text/thesis/pictures/results/predictPosfromEEG.png
Binary files differ
diff --git a/text/thesis/pictures/topoplotMB1blink.png b/text/thesis/pictures/topoplotMB1blink.png
new file mode 100644
index 0000000..4176187
--- /dev/null
+++ b/text/thesis/pictures/topoplotMB1blink.png
Binary files differ
diff --git a/text/thesis/thesis.tex b/text/thesis/thesis.tex
index 7793682..4cbb9ff 100644
--- a/text/thesis/thesis.tex
+++ b/text/thesis/thesis.tex
@@ -21,6 +21,7 @@
 \usepackage[chapter]{algorithm}
 \usepackage{dsfont}
 \usepackage{algpseudocode}
+\usepackage{lscape}
 %\renewcommand{\familydefault}{\sfdefault}
 
 \usepackage{tikz}
@@ -109,13 +110,13 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 
-\addcontentsline{toc}{section}{Abstract}
 \section*{Abstract}
+\addcontentsline{toc}{section}{Abstract}
 
 Write here your abstract.%\cite{Morasso92}\cite{Tresch06}
 \newpage
-\addcontentsline{toc}{section}{Acknowledgments}
 \section*{Acknowledgments}
+\addcontentsline{toc}{section}{Acknowledgments}
 
 Write here your acknowledgments.
 % Martin, Rosenstiel, Birbaumer(?) - Data, Nieselt for template, WSI, Fachschaft, Familie, ...?
@@ -129,8 +130,8 @@
 \renewcommand{\baselinestretch}{1.3}
 \small\normalsize
 
-\addcontentsline{toc}{chapter}{Table of Contents}
 \tableofcontents
+\addcontentsline{toc}{chapter}{Table of Contents}
 
 \renewcommand{\baselinestretch}{1}
 \small\normalsize
@@ -144,8 +145,8 @@
 \renewcommand{\baselinestretch}{1.3}
 \small\normalsize
 
-\addcontentsline{toc}{chapter}{List of Figures}
 \listoffigures
+\addcontentsline{toc}{chapter}{List of Figures}
 
 \renewcommand{\baselinestretch}{1}
 \small\normalsize
@@ -159,8 +160,8 @@
 \renewcommand{\baselinestretch}{1.3}
 \small\normalsize
 
-\addcontentsline{toc}{chapter}{List of Tables}
 \listoftables
+\addcontentsline{toc}{chapter}{List of Tables}
 
 \renewcommand{\baselinestretch}{1}
 \small\normalsize
@@ -174,8 +175,8 @@
 \renewcommand{\baselinestretch}{1.3}
 \small\normalsize
 
-\addcontentsline{toc}{chapter}{List of Algorithms}
 \listofalgorithms
+\addcontentsline{toc}{chapter}{List of Algorithms}
 
 \renewcommand{\baselinestretch}{1}
 \small\normalsize
@@ -187,8 +188,8 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 % can be removed
-\addcontentsline{toc}{chapter}{List of Abbreviations}
 \chapter*{List of Abbreviations\markboth{LIST OF ABBREVIATIONS}{LIST OF ABBREVIATIONS}}
+\addcontentsline{toc}{chapter}{List of Abbreviations}
 
 \begin{tabbing}
 \textbf{EEG}\hspace{2cm}\=Electroencephalography\\
diff --git a/usedMcode/evaluationAccuracys.m b/usedMcode/evaluationAccuracys.m
index e665bdd..ddb3690 100644
--- a/usedMcode/evaluationAccuracys.m
+++ b/usedMcode/evaluationAccuracys.m
@@ -18,7 +18,7 @@
 title('ANOVA for EEG, EMG and LF')
 
 %% evaluate single form of recording
-input=accuracys.LF;
+input=accuracys.EMG;
 sizeY=2;
 limits_y=[100,0];
 
diff --git a/usedMcode/evaluationCorrelations.m b/usedMcode/evaluationCorrelations.m
index b870737..0899d38 100644
--- a/usedMcode/evaluationCorrelations.m
+++ b/usedMcode/evaluationCorrelations.m
@@ -90,12 +90,15 @@
 
 figure();
 
+sizeX=ceil(noOfPlots/sizeY);
 for i=1:noOfPlots
-    subplot(sizeY,ceil(noOfPlots/sizeY),i)
+    subplot(sizeY,sizeX,i)
     boxplot(input.(sprintf('%s',names{i})))
     title(names{i})
-    ylabel('correlation recorded - predicted')
     ylim(limits_y)
+    if ceil(i/sizeX) > ceil((i-1)/sizeX)
+        ylabel('correlation recorded - predicted')
+    end
 end
 
 anova1(cat(2,input.Default(:),input.Offset1(:),input.Offset2(:)),[0,1,2])
@@ -108,4 +111,4 @@
 anova1(correlations.EEG.emg.Default,EMGChannels)
 
 title('EMG from EEG')
-saveFigure(gcf,strcat(figureSavePath,'EEGemg'))
\ No newline at end of file
+mySaveFigure(gcf,strcat(figureSavePath,'EEGemg'))
\ No newline at end of file