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.
PNAS publication: A universal description of stochastic oscillators
What do the beating of the human heart, the flashing of fireflies in a field, and the swinging of children on a playground have in common? They are all examples of rhythmic processes oscillations that occur spontaneously. Oscillations can be found everywhere, and arise from many different underlying physical, chemical, or biological mechanisms.
Nicolas Brunel receives the Valentin Braitenberg Award for Computational Neuroscience 2023
Nicolas Brunel receives this year's Valentin Braitenberg Award for Computational Neuroscience for his “pioneering work opening new perspectives in coding optimization, memory, and dynamics” (the award committee). The award ceremony will take place during the Bernstein Conference on September 27, 2023, in Berlin.
How the brain processes numbers
Measuring human brain activity down to the cellular level: until now, this has been possible only to a limited extent. With a new approach developed by researchers at the Technical University of Munich (TUM), it will now be much easier. The method relies on microelectrodes along with the support of brain tumor patients, who participate in studies while undergoing “awake” brain surgery. This enabled the team to identify how our brain processes numbers.
The Bernstein Network joins EBRAINS
On February 16, 2023, the Bernstein Network Computational Neuroscience became an associate member of EBRAINS.
A Step Towards Next-Generation Neuroscience Simulators
The group of Tobias Gemmeke at RWTH Aachen University has developed a highly flexible framework neuroAIˣ
Intelligent brains take longer to solve difficult problems
Do intelligent people think faster? Researchers at the BIH and Charité – Universitätsmedizin Berlin, together with a colleague from Barcelona, made the surprising finding that participants with higher intelligence scores were only quicker when tackling simple tasks, while they took longer to solve difficult problems than subjects with lower IQ scores. In personalized brain simulations of the 650 participants, the researchers could determine that brains with reduced synchrony between brain areas literally “jump to conclusions” when making decisions, rather than waiting until upstream brain regions could complete the processing steps needed to solve the problem. In fact, the brain models for higher score participants also needed more time to solve challenging tasks but made fewer errors. The scientists have now published their findings in the journal Nature Communications.
Theoretical biologists uncover novel mechanism for flight control in fruit flies
Researchers at the Institute for Theoretical Biology at Humboldt Universität have solved a long-standing mathematical puzzle about the emergence of electrical activity patterns during insect flight. Together with colleagues at the Johannes Gutenberg University in Mainz, they report a novel function for electrical synapses in governing the flight of fruit flies in the current issue of Nature.
AI helps understand learning processes
How does the brain learn spatial information? Neural computation researchers are using artificial intelligence to explore this question.
A Berlin elephant that peels bananas
A team from Humboldt University and the Zoo Berlin report on the banana-peeling elephant Pang Pha at Zoo Berlin in the new issue of the journal Current Biology.
How the brain slows down when we focus our gaze
Changing between slow and fast integration of information, the brain can flexibly modulate the timescales on which it operates. This is the result of a new study by an international team of researchers, now published in the journal Nature Communications. Their analysis of experimental data from the visual cortex and their computer simulations also provide an explanation for how different timescales can arise and how they can change: the structure of the neural networks determines how fast or slow information is integrated.