Simone Azeglio from Italy will be awarded this year's Brains for Brains Young Researcher Award of the Bernstein Network Computational Neuroscience.

Researchers have succeeded in identifying a network in the brain of mice that plays an important role in learning expectations and is remarkably similar to the network in the human brain.

The “Master Program Computational Neuroscience”, which started in October 2006 at the Bernstein Center for Computational Neuroscience Berlin (BCCN Berlin), has successfully been re-accredited by the system accreditation commission of the Technische Universität Berlin (TU Berlin) and is accredited until June 8, 2028. The “Zentrale Evaluations- und Akkreditierungsagentur (ZEvA)” (Central Evaluation and Accreditation Agency) assigned in July 2021 the right of system accreditation to the TU Berlin. Thus, the TU Berlin can accredit their study programs with an internal commission.

New tracking method captures 3D motion of body points and can factor out the influence of unwanted movement

Freiburg scientists at IMBIT conduct interdisciplinary research on human-machine interfaces

To tap the full potential of artificial intelligence, not only do we need to understand the decisions it makes, these insights must also be made applicable. This is the aim of the new book "xxAI - Beyond Explainable AI”, edited by Wojciech Samek, head of the Artificial Intelligence department at the Fraunhofer Heinrich Hertz Institute (HHI), and Klaus-Robert Mueller, professor of machine learning at the Technical University of Berlin (TUB) and director at BIFOLD. The publication is based on a workshop held during the International Conference on Machine Learning in 2020. Co-editors also include AI experts Andreas Holzinger, Randy Goebel, Ruth Fong and Taesep Moon. It is already the second publication by Samek and Mueller.

Our brains have multiple maps that are needed to plan our movements, navigate our environments, and perceive the world through our senses. The brain maps of our visual world have been studied with greatest detail and provide an opportunity to understand how other brain maps form, organize and function.

Direction-selective neuron subtypes detect complex motion patterns and not uniform directions of motion

EU funding for work on the adaptive properties of visual systems of insects

An international team of researchers from Tübingen and Cold Spring Harbor (New York) has found a pioneering way of determining at what pace changes typically happen. The new method avoids previous systematic errors in estimating timescales, for example of neural activity in the brain. The results are now being published in the journal Nature Computational Science; first applications of the method to neural recordings from the visual cortex highlight it as a powerful tool for neuroscience and many other disciplines.