Welcome to Net2Brain’s Documentation!
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 and Radoslaw Cichy’s lab , 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 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:
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