Scientists Develop Living Computing Device Using Real Brain Cells
Researchers at Princeton University have developed a unique 3D computing system that integrates living brain cells with advanced electronic components.
The experimental device uses biological neurons connected through a specially designed mesh of microscopic wires and electrodes. According to the researchers, the system can recognize electrical patterns and may support future studies in brain function, neurological disorders, and energy-efficient computing.
How the system works
Unlike earlier approaches that relied on flat, 2D cell cultures in petri dishes, the new system allows neurons to grow in a three-dimensional structure.
The team created a flexible 3D mesh made of ultra-thin metal wires and electrodes, coated with epoxy to maintain stability while still supporting delicate brain cells. This structure acts as a scaffold for neuron growth, enabling the formation of a large interconnected network.
The device contains around 70,000 biological neurons, along with dozens of microscopic electrodes that can both monitor and stimulate neural activity.
Learning and pattern recognition
Researchers observed the system over several months as it developed and adapted. They tested how different neural connections strengthened or weakened over time and trained algorithms to detect patterns in electrical signals.
In experiments involving spatial and temporal patterns, the system was able to correctly distinguish between different inputs, showing early signs of computational capability.
The team believes the platform could be expanded in the future to handle more complex tasks and improve understanding of how biological networks process information.
Potential impact on AI and neuroscience
According to the researchers, the project was initially designed to study basic neuroscience. However, it may also contribute to solving challenges in artificial intelligence, particularly related to energy consumption.
Scientists note that the human brain performs complex tasks using far less energy than modern AI systems, making biological computing models an area of growing interest.
They also suggest that 3D neural systems could help in studying and potentially treating neurological diseases.
The research team at Princeton continues to explore ways to improve and scale the technology for future applications.
