AnAItool that decodes what mice see could enhance futurebrain-computer interfaces, according to a newstudy.
Named CEBRA, the system was developed by researchers atEPFL, a university in Switzerland.
To uncover hidden relationships between the brain and behaviour.
Given the brain is the most complex structure in our universe, its the ultimate test for CEBRA.
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Some of the brain activity had been measured with electrode probes in a mouses visual cortex.
All this data was used to train the basealgorithmin CEBRA.
As a result, the system learned to map brain activity to specific frames in a video.
Next, the team applied the tool to another mouse that had watched the video.
After analysing the data, CEBRA could accuratelypredict what the mouse had seen from the brain signals alone.
The team then reconstructed the clip from the neural activity.
The goal of CEBRA is to uncover structure in complex systems.
Nor isCERA limited to neuroscience research.
But perhaps the most exciting app is in brain-computer interfaces (BCIs).
For the researchers, an obvious next step is using CEBRA to enhance neural decoding in BCIs.
you could read the full study paperin Nature.
Story byThomas Macaulay
Thomas is the managing editor of TNW.
He leads our coverage of European tech and oversees our talented team of writers.
Away from work, he e(show all)Thomas is the managing editor of TNW.
He leads our coverage of European tech and oversees our talented team of writers.
Away from work, he enjoys playing chess (badly) and the guitar (even worse).
