Welcome to Net2Brain's Documentation!
=====================================

.. |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>`_ , 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 
use of advanced neural network analysis by both seasoned researchers and those new to computational neuroscience. 
As a hub for exploration and discovery, Net2Brain invites you to uncover the synergies between brain activity patterns 
and DNN activations, propelling the frontier of cognitive computational research.


To get started with the project, see the :ref:`installation` guide.


.. note::

   Please note that Net2Brain is currently under active development, and features may be updated regularly.


Citing Net2Brain
================

If you use Net2Brain in your research, please don't forget to cite our 
`paper in Frontiers <https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2025.1515873/full>`_:

.. code-block:: bash

   Bersch D, Vilas MG, Saba-Sadiya S, Schaumlöffel T, Dwivedi K, Sartzetaki C, 
   Cichy RM and Roig G (2025) Net2Brain: a toolbox to compare artificial vision 
   models with human brain responses. Front. Neuroinform. 19:1515873. 
   doi: 10.3389/fninf.2025.1515873


Contents
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.. toctree::
   :maxdepth: 2

   installation
   key_functions
   existing_models
   adding_own_netsets