科学家在观看影片时利用人工智能从小鼠的脑活动中重建基本图像。 
Scientists used AI to reconstruct basic images from mice's brain activity while they watched videos.
伦敦大学学院的科学家们利用AI根据目视皮层记录到的神经信号,从老鼠的脑活动中重新制作了从观看人类体育镜头的脑活动中提取的微粒视频剪辑。 Scientists at University College London used AI to reconstruct grainy video clips from the brain activity of mice viewing human sports footage, based on neural signals recorded from their visual cortex. 通过培训AI模型来预测和逆向设计大脑模式,研究人员重建了原始场景的简化版本,尽管目前的重建分辨率低,仅限于狭小的视野。 By training an AI model to predict and reverse-engineer brain patterns, researchers recreated simplified versions of the original scenes, though current reconstructions are low-resolution and limited to a narrow field of view. 这种技术依靠钙成像和动态神经建模,有朝一日可以产生更锐利的全场视觉重建,帮助发现动物如何看待世界、梦想或体验幻觉。 The technique, which relies on calcium imaging and dynamic neural modeling, could one day yield sharper, full-field visual reconstructions and help uncover how animals perceive the world, dream, or experience illusions. 该技术虽然对理解动物意识和同情很有希望,但随着类似方法在人类中的发展,在道德上引起了对精神隐私的担忧。 While promising for understanding animal consciousness and empathy, the technology raises ethical concerns about mental privacy as similar methods advance in humans.
