Presenting BERG at CCN 2026
We are excited to present BERG during a Keynote & Tutorial at Cognitive Computational Neuroscience 2026.
😎About Me
I am a PhD student at the CVAI lab of Prof. Dr. Gemma Roig, focusing on exploring the connection between the human brain and its cortical functions through the lens of deep neural networks. My primary research aim is to understand why specific deep neural networks can predict processes in the human brain despite their biological implausibility, delving into the realms of interpretable AI and neuroscience. I am also one of the developers of the toolbox Net2Brain, which is a valuable tool for exploring the relationship between artificial neural networks and brain activity.
Interests
- Artificial Intelligence
- Computational Neuroscience
- Explainability
- Computer Vision
- Visual Cortex
Education
M.Sc Artificial Intelligence
Goethe University Frankfurt
B.Sc Computer Science
Goethe University Frankfurt
📚 My Research
My research sits at the intersection of artificial intelligence and computational neuroscience. I study how brains and deep neural networks represent the world, and how computational models can help us better understand brain function. My work focuses on model-brain alignment, brain encoding models, in silico neuroscience, and the interpretability of vision models such as Vision Transformers and CNNs, especially in how they represent objects, context, and semantic information. I also contribute to open tools and community resources such as BERG, Net2Brain, and the Algonauts Challenge.
Feel free to reach out if you’d like to collaborate! 😃
Publications (Selected)
The Brain Encoding Response Generator (BERG)
Brain Encoding Response Generator (BERG) is a resource consisting of multiple pre-trained encoding models of the brain and an accompanying Python package to generate accurate in silico neural responses to arbitrary stimuli with just a few lines of code.
Aug 12, 2025
The Algonauts Project 2025 Challenge: How the Human Brain Makes Sense of Multimodal Movies
The 2025 Algonauts Project challenge promotes collaboration between biological and artificial intelligence, leveraging the largest dataset of fMRI responses to movie watching.
Jan 6, 2025
Net2Brain: A Toolbox to Compare Artificial Vision Models with Human Brain Responses
Net2Brain is a toolbox for comparing deep neural network representations with human brain recordings using RSA, enabling cognitive computational neuroscience studies.
Aug 25, 2022
Recent & Upcoming Talks
Recent News
🎉 The Algonauts 2025 Challenge is Now Online!
The Algonauts Project 2025 challenge focuses on predicting human brain responses to complex multimodal movies. Important dates and features are now live!