Artificial intelligence capable of decoding brain activity during sleep

We sleep on average one third of our time. But what does the brain do during these long hours? Using an artificial intelligence approach capable of decoding brain activity during sleep, scientists at the University of Geneva (UNIGE), Switzerland, were able to glimpse what we think about when we are asleep. By combining functional magnetic Read more about Artificial intelligence capable of decoding brain activity during sleep[…]

How efficient could be neurofeedback training

HSE University scientists have for the first time in the world investigated the impact of delayed reinforcement signals in neurofeedback (NFB) training. They have experimentally proven that reducing the delay in feedback (decreasing feedback latency) can significantly increase the efficacy of training. This opens up new potential for the use of NFB for cognitive enhancement, Read more about How efficient could be neurofeedback training[…]