This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...

About the labs The Verstreken Lab and the Gonçalves Lab are based in Leuven, Belgium and part of the

Schulz et al. demonstrate how neural encoding and decoding can be cast as computing conditional distributions and how to modify variational autoencoders (VAEs) to calculate such distributions. The pro...

To gain insight into complex neural data, we must move toward a data-driven regime, employing large models trained on vast amounts of data. Experts weigh in.

Website for the object centric workshop at 2025 COSYNE

ZAPBench evaluates how well different models can predict the activity of over 70,000 neurons in a novel larval zebrafish dataset.

There are still far fewer women than men working in the field of machine learning. With "TWiML", Claire Vernade has fostered a community for women in Tübingen.

Can we build neural networks whose structure and computational abilities match a real brain? We are not quite there yet, but our new paper shows a strategy for getting closer to this goal.

Learning is an integral part of our lives, and the lives of all animals, but do you realize how wondrous our learning ability is? When we try to build machines that can learn, we are faced with deep q...

Scientific modeling applications often require estimating a distribution of parameters consistent with a dataset of observations - an inference task also known as source distribution estimation....

Join the conversation