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.
Research funding for the digital orientation of Life Sciences
Funding of "Deep Learning Methods for Association Studies of Transcriptomic and Systemic Dynamics in Morphogenetically Active Tissues"
Recognizing pathological movement patterns – with the help of artificial intelligence
Göttingen research project "Deep Movement Diagnostics" receives around 1.2 million euros for the development of three-dimensional reconstructions of movement patterns
Brains for Brains Award 2019 for Tuan Pham from Vietnam/ USA
Tuan Pham from the University of Chicago (USA) will be awarded this year's Brains for Brains Young Researchers Award of the Bernstein Network Computational Neuroscience.
The scientific case for brain simulations
HBP scientists argue for brain simulators as “mathematical observatories” for neuroscience
Hearing the light: how artificial hearing could become more natural
Researchers at the University Medical Center Göttingen (UMG) and the German Primate Center – Leibniz Institute for Primate Research (DPZ) are demonstrating improved frequency resolution of artificial hearing using optical stimulation of the inner ear.
Abundance of information narrows our collective attention span
New study investigates 'social acceleration'
Primed for memory formation
A new study carried out in a collaboration between researchers from LMU and UC San Diego suggests that new sensory experiences are encoded in pre-existing patterns of neuronal activity, which are recalled, modulated and enhanced following periods of behavioral activity.
Pushing digital process optimization
Chemnitz University of Technology develops learning algorithm for improved car body manufacturing in BMBF-funded project
How intelligent is Artificial Intelligence?
Scientists put AI systems to the test
Opening the Black Box of Dendritic Computing
How do nerve cells compute? This fundamental question drives LMU neurobiologists led by Andreas Herz. They have now presented a novel method to disentangle complex neural processes in a much more powerful way than was previously possible.
















