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Bernstein TV

Bernstein TV is a series of short movies that report about current research of the Bernstein Network Computational Neuroscience. The movies are produced by the Bernstein Coordination Site (BCOS).


A grid in the brain

BernsteinTV_Grid in the Brain_Standfoto

How do we orientate in space? Researchers at the Bernstein Center Berlin discover nerve cells in the brain that are arranged in a hexagonal pattern. They may help us find our way - just like grid lines on city maps.


Less is more


How does the brain distinguish between relevant and irrelevant stimuli? And how do animals like the locust succeed in this task, even though their nervous system is tiny? Scientists of the Bernstein Center Berlin have investigated the little hoppers and find that they are more similar to humans than expected.


NEST - A brain simulator


How do nerve cells communicate? How do they store memories? Computer simulations help scientists to better understand the complex processes that take place in the brain. The simulation software NEST allows them to investigate how thousands of nerve cells interact -- and, thus, to get closer to deciphering the secrets of the brain (July 2012).


Decision and action - A matter of nerves


Penalty – defeat or victory can depend on where the shooter decides to aim at. What happens in the shooter’s head? How does his brain prepare the decision? With the aim of making progress towards brain-controlled neural prostheses, scientists of the Bernstein Center Computational Neuroscience investigate these questions (June 2012).


Mathematics of a Glance


What is it that makes a movement typically human? Scientists of the Bernstein Center Munich investigate this question using gaze shifts. The results of experiments and simulations could contribute to improving diagnostic methods and developing more human-like robots (May 2012).


Crippling rhythms of Parkinson


What happens in Parkinson's disease? Researchers at the Bernstein Center Freiburg developed a mathematical model that can explain changes of neuronal activity in Parkinson's. The model also provides new hints for an improved treatment of Parkinson's by deep brain stimulation (February 2012).