Cortical Labs publicly demonstrated on March 8, 2026, that its CL1 biological computer can control the 1993 shooter game Doom using approximately 200,000 living human neurons. The achievement marks a significant milestone in biological computing and demonstrates the viability of interfacing digital systems with living neural tissue.
200,000 Human Neurons Control Gameplay Through Microelectrode Array
The CL1 system uses approximately 200,000 human neurons derived from induced pluripotent stem cells, typically repurposed from adult skin or blood samples. These cells are differentiated in the lab into functional cortical neurons and integrated onto a high-density microelectrode array maintained in a nutrient bath during operation.
The system works by converting game visuals into electrical stimulation patterns. When something appears on the left side of the screen, electrodes stimulate the corresponding region of the neural culture. The cellular electrical responses are interpreted as gameplay actions including movement, turning, and firing. Neurons receive feedback signals—small rewards for correct aiming and larger rewards for successful eliminations—enabling learning.
Developer Achieves Breakthrough in One Week Using New Python Interface
Sean Cole, an independent developer with little biological computing experience, got the system working in approximately one week using CL1's new Python programming interface. This rapid development timeline contrasts sharply with the complexity typically associated with biological computing and suggests the field may be becoming more accessible.
According to Cortical Labs researcher Alon Loeffler, Doom represents a significant increase in complexity compared to the team's 2022 demonstration of neurons playing Pong. The company reports the system's performance resembles a complete beginner who has never used a keyboard, mouse, or computer before.
Progression From Pong to Complex 3D Gameplay
The demonstration represents a four-year progression in biological computing capabilities. In 2022, the same team successfully taught neurons to play Pong, a much simpler two-dimensional game, publishing their findings in the journal Neuron. The successful control of Doom, with its complex 3D environment and multiple simultaneous inputs, demonstrates substantial advancement in the sophistication of biological computing systems.
Key Takeaways
- Cortical Labs demonstrated living human neurons playing Doom on March 8, 2026, using approximately 200,000 lab-grown neurons
- Neurons are derived from induced pluripotent stem cells repurposed from adult skin or blood samples
- Independent developer Sean Cole achieved the breakthrough in one week using CL1's new Python programming interface
- The system represents a major progression from the team's 2022 Pong demonstration to complex 3D gameplay
- Performance operates at beginner level, but demonstrates the viability of biological computing systems