AI Predicts Behavior From Brain Activity
Neuroscience, behavioral science, and medical research are accelerating with the help of the predictive power of artificial intelligence (AI) machine learning. A new peer-reviewed study published in PLoS Computational Biology demonstrates an AI deep learning model that can predict behavior at nearly real-time speed with 95% accuracy.
“Deep learning is a powerful tool for accurately decoding movement, speech, and vision from neural signals from the brain and for neuroengineering such as brain-computer interface (BCI) technology that utilizes the correspondence relationship between neural signals and their intentional behavioral expressions,” reported corresponding author Toru Takumi at the Kobe University School of Medicine, along with researchers Takehiro Ajioka, Nobuhiro Nakai, and Okito Yamashita.
Brain-computer interfaces enable those with impaired motor or speech and other disabilities to operate and control external devices such as computers, robotic limbs, as well as communicate. For those suffering from neurological disorders, locked-in syndrome, motor impairment, and paralysis, brain-computer interfaces offer hope of improving the........
© Psychology Today
visit website