Danilo Bzdok

Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets

2019 · bioRxiv (Cold Spring Harbor Laboratory)

Abstract In recent years, deep learning has unlocked unprecedented success in various domains, especially in image, text, and speech processing. These breakthroughs may hold promise for neuroscience and especially for brain-imaging investigators who start to …

Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video

2025 · arXiv (Cornell University)

Robust tooling and publicly available pre-trained models have helped drive recent advances in mechanistic interpretability for language models. However, similar progress in vision mechanistic interpretability has been hindered by the lack of accessible frameworks and …