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Bernstein Conference 2023

Bernstein Conference 2023

Bernstein Conference

Bernstein Conference

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Get to know the Bernstein Network!

Get to know the Bernstein Network!

Bernstein Network Computational Neuroscience

Bernstein Network Computational Neuroscience

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Welcome

The Bernstein Network Computational Neuroscience connects experimental and theoretical scientists. It comprises more than 200 research groups and almost 350 individual scientists from all over the world who combine experimental neuroscientific approaches with theoretical models and computer simulations.

The Bernstein Network was launched in 2004 through a major funding initiative of the German Federal Ministry of Education and Research (BMBF) which aimed at advancing the transfer of theoretical knowledge to clinical and technical applications. The network is named after the German physiologist and biophysicist Julius Bernstein (1839-1917).

News

Berlin May 24, 2023

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.

Berlin May 31, 2023

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.

Bochum May 9, 2023

AI helps understand learning processes

How does the brain learn spatial information? Neural computation researchers are using artificial intelligence to explore this question.

Berlin April 12, 2023

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.

Events

Bernstein Conference

Invited Speakers

Important dates & FAQ

Tentative Schedule

Calls

Alexander von Humboldt Professorship for Artificial Intelligence

The Alexander von Humboldt Professorship is the most highly endowed German science award and is granted exclusively to top researchers who are world leaders in their field as well as working abroad.

Deadline: 15.04.2023

Forschungsstipendien für Doktorandinnen und Doktoranden

Dieses Programm fördert Forschungsaufenthalte im Ausland während einer Promotion. Die Auslandsaufenthalte können zwischen einem und zwölf Monaten betragen. Der Förderzeitraum kann zeitlich aufgeteilt werden und auch in verschiedenen Ländern stattfinden.

Deadline: 15.06.2023

Schilling-Professur und Forschungsgruppe Computationale Neurologie

Im Rahmen ihres Programms "Neurowissenschaft in der Klinik" (1997 bis 2021) finanzierte die Stiftung insgesamt sieben Abteilungen/Institute für kliniknahe Grundlagenforschung an neurologischen Universitätskliniken. Diese Neugründungen ermöglichen WissenschaftlerInnen, die auf dem Gebiet der kliniknahen Grundlagenforschung arbeiten, Fragestellungen aus der Klinik aufzunehmen und die Ergebnisse ihrer Forschung in die klinische Anwendung zu übertragen.
Aktuell wird eine Stiftungsprofessur Computationale Neurologie ausgeschrieben

Deadline: 15.07.2023