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NEWSROOM

NEWSROOM

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.

Tübingen July 19, 2022

ERC Starting Grant for Philipp Berens

Cluster speaker Philipp Berens has received a Starting Grant from the European Research Council (ERC) for his "NextMechMod" project. The project, which aims to develop new models and algorithms for studying amacrine cells, particular nerve cells in the retina of the eye, will be funded with a total of around 1.5 million euros over a period of five years. With the Starting Grants, the ERC provides outstanding young scientists with additional funding in their research careers.


Berlin July 15, 2022

PhD program Computational Neuroscience will be funded for three year by the Einstein Foundation

After a competitive selection process, our PhD program will be funded with 300,000 € for three years by the Berlin Einstein Foundation as Einstein Foundation Doctoral Program.


Tübingen July 8, 2022

Out of sight, quickly out of mind

We are very bad at recalling objects at our gaze direction from short-term memory - even though this is the area we see most sharply, report brain researchers from Tübingen led by Professor Ziad Hafed.


Regensburg July 4, 2022

How can smell control behavior?

The DFG (German Research Foundation) is funding the research group led by Professor Dr. Veronica Egger of the University of Regensburg in the research project "Modulation of Olfaction: How Recurrent Circuits Determine State-Dependent Behavior" with about 4.2 million euros.


Bochum July 1, 2022

How our minds re-create the past

Funding for the research unit approved for a further three years


Berlin June 30, 2022

Multi-million funding for AI research “made in Berlin”

Joint press release of the Senate Department for Higher Education and Research, Health, Long-Term Care and Gender Equality, BIFOLD and Technische Universität Berlin


Vienna June 13, 2022

Reading center in the brain builds a word filter

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.


Berlin June 13, 2022

Horizon Europe: Charité coordinates four new EU projects

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.


Freiburg June 10, 2022

Brains for Brains Award 2022 for Simone Azeglio from Italy

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


Mainz, Mannheim June 10, 2022

Functional MRI for mice and humans: more direct translation of learning processes

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.


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