A new neuroscience study backed with funding from the European Research Council, published in eLife, demonstrates how an AI deep learning algorithm is able to predict behavior by decoding brain activity.
In efforts to decipher the neural code, the researchers created an AI-based convolutional neural network (CNN, to predict behaviors from neural activity.
In the last step, the team tested the AI-algorithm with electrocorticography recordings taken from brains of humans while moving their fingers.
The researchers demonstrated successfully that measuring neural activity can decode and predict finger movement and spatial behaviors with AI.
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