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Scientists used AI to reconstruct basic images from mice's brain activity while they watched videos.
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.
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.
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.
While promising for understanding animal consciousness and empathy, the technology raises ethical concerns about mental privacy as similar methods advance in humans.
Los científicos utilizaron la IA para reconstruir imágenes básicas de la actividad cerebral de los ratones mientras veían videos.