Bernstein Network News. Find the latest news from our researchers regarding current research results, new research projects and initiatives as well as awards and prizes.
Recognizing words is the basis of understanding the meaning of a text. When we read, we move our eyes very efficiently and fast from word to word. Generally, this flow is only interrupted when we encounter an unfamiliar word. Using functional magnetic resonance imaging (fMRI), an international team of scientists at the University of Vienna and Goethe University Frankfurt discovered that the distinction of familiar words and unfamiliar strings of characters, in the sense of a filtering process, also serves well as a model for the patterns of brain activity which are observed during reading. This filter is located in the lower left temporal lobe, a brain area which is important for the visual word recognition. These results were recently published in PLOS Computational Biology.
Three European collaborative projects and one comprehensive infrastructure project, all of which are to be led by researchers from Charité – Universitätsmedizin Berlin and the Berlin Institute of Health at Charité (BIH), have been given the go-ahead by the EU Commission. Charité researchers will also be involved in two further projects which are due to be launched. The new Charité-led projects will address mental health issues, an innovative cell therapy, prognosis after stroke, and virtual models of the brain. Charité will receive appropriately € 7 million in funding for this research. The EU’s framework program for research and innovation is the largest single-source funding program in the world.
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