diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -2,7 +2,10 @@
 
 # Net2Brain 🧠
 
-<img src="docs/source/Net2Brain_Logo.png" alt="Net2Brain Logo" width="50%"/>
+<p align="center">
+  <img src="docs/source/Net2Brain_Logo.png" alt="Net2Brain Logo" width="48%"/>
+  <img src="docs/img/ARENA_text.jpg" alt="ARENA" width="48%"/>
+</p>
 
 
 Welcome to [__Net2Brain__](https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2025.1515873/full), a powerful toolbox designed to facilitate the comparison of human brain activity patterns with the activations of Deep Neural Networks (DNNs). With over 600 pre-trained DNNs available, Net2Brain empowers neuroscientists to explore and analyze the relationships between artificial and biological neural representations.
@@ -15,8 +18,7 @@ Net2Brain offers an all-in-one solution by providing access to over 600 pretrain
 **Bridging Neural and AI Research**:
 One of the primary objectives of Net2Brain is to facilitate the collaboration between neural and AI research. By providing a user-friendly toolbox, we aim to bridge the gap and empower non-computer scientists to leverage the benefits of deep neural networks in their neuroscientific investigations.
 
-To delve deeper into the toolbox, check out our [ReadTheDocs](https://net2brain.readthedocs.io/en/latest/index.html) or our [tutorial notebooks](notebooks), or our latest [paper release](https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2025.1515873/full).
-
+To delve deeper into the toolbox, check out our [ReadTheDocs](https://net2brain.readthedocs.io/en/latest/index.html) or our [tutorial notebooks](notebooks), or our latest [paper release](https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2025.1515873/full). Net2Brain is part of the DFG Research Unit [ARENA](https://neuroai-arena.github.io/).
 
 # Updates 
 
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--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -1,15 +1,20 @@
 Welcome to Net2Brain's Documentation!
 =====================================
 
-.. image:: Net2Brain_Logo.png
-   :align: center
+.. |logo| image:: Net2Brain_Logo.png
+   :scale: 50%
    :alt: Net2Brain Logo
+
+.. |arena| image:: ../img/ARENA_text.jpg
    :scale: 50%
+   :alt: ARENA
+
+|logo| |arena|
 
 Welcome to **Net2Brain**, the comprehensive toolbox designed to illuminate the intricate parallels between the complex workings of the human brain and the sophisticated activations of Deep Neural Networks (DNNs). 
 Offering access to over 600 pre-trained models, Net2Brain empowers researchers to delve into the comparative study of 
 biological and artificial neural networks. This powerful resource, created by the collaborative efforts of 
-`CVAI <http://www.cvai.cs.uni-frankfurt.de/>`_ and `Radoslaw Cichy's lab <https://www.ewi-psy.fu-berlin.de/psychologie/arbeitsbereiche/neural_dyn_of_vis_cog/team/rm_cichy/index.html>`_ , is tailored to advance our understanding of cognitive processes through the lens of AI.
+`CVAI <http://www.cvai.cs.uni-frankfurt.de/>`_ and `Radoslaw Cichy's lab <https://www.ewi-psy.fu-berlin.de/psychologie/arbeitsbereiche/neural_dyn_of_vis_cog/team/rm_cichy/index.html>`_ , while being part of the DFG Research Unit [ARENA](https://neuroai-arena.github.io/), is tailored to advance our understanding of cognitive processes through the lens of AI.
 
 Net2Brain stands out with its user-friendly design, supporting a broad spectrum of visual tasks 
 and data formats. It provides intuitive methods for analyzing neural representations, facilitating the