ML&DL@FZJ.md

@@ -50,7 +50,8 @@ Methods: Classification and Regression (RF, SVM)
 * **[Molecular Neuroscience and Neuroimaging](https://www.fz-juelich.de/inm/inm-11/DE/Home/home_node.html)**  at INM-11<br>
 Contact: Christian Gerloff, c.gerloff@fz-juelich.de<br>
 Data: Neuroimaging (MRI, fNIRS), biobehavioral data (ECG, ANS) for developmental, social neuroscience, and motor control<br>
-Methods: Graph representation learning (structural and kernel-based embeddings, GNNs), Factorization (NMF), Regression and Classification (SVM, Ridge&Lasso, GP), Bayesian Inference (Bayesian hierarchical models)
+Methods: Graph representation learning (structural and kernel-based embeddings, GNNs), Factorization (NMF), Regression and Classification (SVM, Ridge&Lasso, GP), Bayesian Inference (Bayesian hierarchical models)<br>
+(last update: 25.3.2021)
 
 * **[Simulation Laboratory Neuroscience](http://www.fz-juelich.de/ias/jsc/EN/Expertise/SimLab/slns/research/research_node.html)** at JSC<br>
 Contact: [Kai Krajsek](https://www.fz-juelich.de/SharedDocs/Personen/IAS/JSC/EN/staff/krajsek_k.html), k.krajsek@fz-juelich.de<br>
@@ -104,4 +105,4 @@ tbd
 [[Home](Home)]
 
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-last change: 22.3.2021 sw
+last change: 25.3.2021 sw
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