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Tech and Science

Scientists Grew Mini Brains, Then Trained Them to Solve an Engineering Problem : ScienceAlert

Last updated: February 19, 2026 8:45 am
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Scientists Grew Mini Brains, Then Trained Them to Solve an Engineering Problem : ScienceAlert
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Lab-Grown Brain Tissue Shows Promise in Control Problem Solving

Researchers have made a significant breakthrough in the field of neuroscience by demonstrating that lab-grown brain tissue can be trained to solve complex control problems through structured feedback. Using a closed-loop system that provided electrical feedback based on performance, cortical organoids showed steady improvement in balancing an unstable virtual pole, a classic engineering benchmark.

The study, led by robotics and artificial intelligence researcher Ash Robbins at the University of California (UC) Santa Cruz, aimed to understand how neurons can be adaptively tuned to solve problems. By utilizing brain tissue in a dish, researchers hope to gain insights into how neurological diseases impact the brain’s capacity for plasticity.

Mature organoids grown for the experiment
Mature organoids grown for the experiment. (Robbins et al., bioRxiv, 2024)

Understanding the Cartpole Problem

The cartpole problem involves balancing a hinged pole vertically on a virtual cart by moving it left or right. It serves as a challenging control problem that requires constant adjustments to prevent the pole from tipping too far. This task is commonly used in reinforcement learning research due to its demand for fine-grained adjustments.

For the experiment, mouse stem cells were used to grow cortical tissue capable of neural signaling. While the organoids were not complex enough for cognitive functions, they could send and receive electrical signals, allowing their internal connections to adapt to external stimuli.

Adaptive Feedback for Improved Performance

The organoids were subjected to different feedback conditions: no feedback, random feedback, and adaptive feedback based on past performance. The adaptive feedback condition involved delivering bursts of high-frequency stimulation when performance decreased relative to previous episodes.

Results showed that organoids under adaptive feedback reached proficiency in balancing the pole 46% of the time, compared to 2.3% with no feedback and 4.4% with random feedback. This indicated that neural tissue could be tuned through feedback to enhance control.

While the study demonstrated short-term learning capabilities, organoids ‘forgot’ their training after a period of inactivity. Future research aims to improve the organoids’ memory and complexity to sustain long-term learning.

Implications and Ethical Considerations

The research, published in Cell Reports, opens new avenues for studying brain plasticity and neurological diseases. However, researchers emphasize that the goal is to advance brain research and disease treatment, not to replace conventional computers with lab-grown brain tissues.

As the field progresses, ethical considerations regarding the use of human brain organoids in research must be carefully addressed to ensure responsible scientific practices.

TAGGED:BrainsEngineeringGrewMiniproblemScienceAlertScientistsSolveTrained
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