Researchers have integrated artificial intelligence with C. elegans worms to explore how deep reinforcement learning can guide behavior, showcasing a novel approach to brain-AI collaboration.
The AI agent analyzed the worms' positions through a camera, receiving updates multiple times a second, allowing it to navigate the worms toward food using light stimulation.
Through optogenetic engineering, the worms' neurons reacted to light, enabling precise control of movement and direction, thus enhancing the AI's effectiveness in guiding them.
This groundbreaking research utilized various genetic lines of C. elegans to study the distinct responses of worms to targeted light, influencing their ability to reach appetizing E. coli patches.
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