Lab-grown brain tissue successfully solves a classic AI training problem

In a small lab at the University of California, Santa Cruz, clusters of mouse brain cells have taken on a task normally reserved for computer algorithms: keeping a simulated pole balanced upright. The experiment, which used real biological tissue to tackle a classic test problem in control engineering, shows that scientists can shape living neural circuits through structured feedback.

The research, detailed in Cell Reports, centers on cortical organoids – tiny spheres of brain tissue grown from mouse stem cells. These lab-grown neural clusters are far from capable of thought, but they do form functioning electrical connections and can respond to external signals.

What makes this study unusual is how the researchers used those signals. By linking the organoids to a virtual control environment, the team created a closed feedback loop in which neural activity determined the movement of a digital cart trying to keep a pole balanced vertically.

A developing ...