In a recent groundbreaking study, researchers have taken significant strides toward decoding brain activity, marking a substantial advance in the development of brain-machine interfaces. By harnessing an artificial intelligence (AI) image recognition algorithm, the team from Kobe University successfully predicted mouse movement based solely on brain functional imaging data, boasting an impressive accuracy rate of 95%. The findings have been published in PLoS Computational Biology. The motivation behind this study lies in the ongoing quest to decode neural signals, which is essential for the de…