AI News, Artificial neural networks decode brain activity during performed and imagined movements

Artificial neural networks decode brain activity during performed and imagined movements

It included performed movements, but also hand and foot movements that were merely thought of, or an imaginary rotation of objects.

Even though the algorithm was not given any characteristics ahead of time, it works as quickly and precisely as traditional systems that have been created to solve certain tasks based on predetermined brain signal characteristics, which are therefore not appropriate for every situation.

The model is based on the connections between nerve cells in the human body in which electric signals from synapses are directed from cellular protuberances to the cell's core and back again.

The technology's potential has yet to be exhausted -- together with his team, the researcher would like to further pursue its development: 'Our vision for the future includes self-learning algorithms that can reliably and quickly recognize the user's various intentions based on their brain signals.

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