Related topics: brain · embryonic stem cells

Machine learning reveals rapid material classification

A research team at The University of Tokyo has developed a powerful machine learning algorithm that predicts the properties and structures of unknown samples from an electron spectrum. This process may rapidly accelerate ...

Machine learning tracks moving cells

Both developing babies and elderly adults share a common characteristic: the many cells making up their bodies are always on the move. As we humans commute to work, cells migrate through the body to get their jobs done. Biologists ...

Opening the black box of dendritic computing

How do nerve cells compute? This fundamental question drives LMU neurobiologists led by Andreas Herz. They have now presented a novel method to disentangle complex neural processes in a much more powerful way than was previously ...

New mechanisms regulating neural stem cells

The use of stem cells to repair organs is one of the foremost goals of modern regenerative medicine. Scientists at Helmholtz Zentrum München and Ludwig Maximilian University of Munich (LMU) have discovered that the protein ...

Artificial synapses made from nanowires

Scientists from Jülich together with colleagues from Aachen and Turin have produced a memristive element made from nanowires that functions in much the same way as a biological nerve cell. The component is able to save and ...

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