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 ...

Learning transistor mimics the brain

A new transistor based on organic materials has been developed by scientists at Linköping University. It has the ability to learn, and is equipped with both short-term and long-term memory. The work is a major step on the ...

Linear equations system will restore impaired hand motion

Researchers from the Moscow Institute of Physics and Technology have developed a model for predicting hand movement trajectories based on cortical activity: Signals are measured directly from a human brain. The predictions ...

Chip lights up optical neural network demo

Researchers at the National Institute of Standards and Technology (NIST) have made a silicon chip that distributes optical signals precisely across a miniature brain-like grid, showcasing a potential new design for neural ...

Timings and behaviour influence worm's response to force

How worms respond to signals such as taps or touches depends on details of the signal, including whether it increases or decreases, and on what the animal is doing at the time, says Andrew Leifer and his team of researchers ...

Enhanced detection of nuclear events, thanks to deep learning

A deep neural network running on an ordinary desktop computer is interpreting highly technical data related to national security as well as—and sometimes better than—today's best automated methods or even human experts.

Capturing brain signals with soft electronics

Klas Tybrandt, principal investigator at the Laboratory of Organic Electronics at Linköping University, has developed new technology for long-term stable neural recording. It is based on a novel elastic material composite, ...

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