Sharjah24 – Reuters: Scientists from the Swiss Federal Institute of Technology (EPFL) have developed a new machine learning algorithm CEBRA, which has the potential to reveal the hidden structure in data recorded from the brain, such as what mice see.
Mackenzie Mathis, Neuroscientist and Assistant Professor at EPFL stated, "The mouse is just passively watching this, much like you or I might be in a movie theater. And then what we wanted to do is at the same time they're recording from this mouse brain. And so we asked the question: could we actually reconstruct what the animal was watching just purely from the neural data? So we used our new algorithm CEBRA to build this latent representation of the embedding space."
"With this algorithm, we could do this with over 95% accuracy on these movies. So we think this is sort of a first demonstration that it's actually possible to do this brain machine interface style decoding. It doesn't mean we can read, of course, the mice's mind or human minds, but it definitely means that the representation base is rich enough to understand even this level of resolution, which is quite exciting," she added.
Researchers say the goal of CEBRA is to uncover structure in complex systems and could have clinical applications beyond neuroscience.
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