Talks
Graduate Programs
We aim at fostering a new generation of scientists who have been trained in both mathematical / computational skills and neuroscientific methodologies. Therefore, the Bernstein Center Berlin has set up two international, interdisciplinary graduate programs:
News
Ratten spielen verstecken/Rats play hide and seek - neue Publikation in SCIENCE/new Science Paper
Auch Ratten spielen Verstecken/Rats play hide and seek
Studie in Science zeigt: Ratten wechseln zwischen verschiedenen RollenÜberall auf der Welt spielen Kinder verstecken. Aber können Tiere das auch? Wissenschaftlerinnen und Wissenschaftler der Humboldt-Universität zu Berlin (HU) am Bernstein Center Computational Neuroscience (BCCN) zeigen in einer aktuellen Studie, dass Ratten sehr schnell eine Ratte-Mensch-Version des Versteckspiels lernen und mühelos zwischen verschiedenen Rollen – Verstecken und Suchen – wechseln können. Die Forscherinnen und Forscher vermuten, dass Versteckspielen evolutiv wesentlich älter ist, als bisher gedacht.All around the world children play hide and seek. But do animals do so too? In a recent study, scientists from the Bernstein Center Computational Neuroscience (BCCN) Berlin and the Humboldt University Berlin show that rats can quickly learn a rat-human version of the game and can easily switch between different roles – hiding and searching. The scientists suspect that hide and seek has its origins much earlier in evolution than previously thought.
First BCCN/ICCN Berlin Alumni Workshop
BCCN alumni came from all over the world to be part of the first alumni workshop. With scientific talks, business talks, poster session and a moderated discussion about career inside outside university, the divers program was perfectly matched to the needs of our alumni.
About
The Bernstein Center Berlin was founded in 2004 and addresses one of the most challenging questions in computational and cognitive neuroscience:
“How is it possible that we can react to sensory stimuli with millisecond precision if intermediate processing elements – on the level of single synapses, single neurons, small networks and even large neural systems – vary significantly in their response to the same repeated stimulus?”