Brain signals

Translating neural spikes into digital commands via high-density electrode arrays and machine learning.

Brain-computer interfaces (BCIs) capture electrical impulses from neurons using sensors like the Utah Array or Neuralink's N1 implant. These systems decode motor intentions (moving a cursor or robotic arm) by processing voltage spikes in the motor cortex. Current hardware supports over 1,000 channels of data: a significant jump from early 96-channel systems. Clinical trials (specifically the BrainGate consortium) have enabled paralyzed patients to type at speeds exceeding 60 characters per minute. The objective remains sub-10ms latency for seamless human-machine integration.

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