Draw neural spike patterns on the left canvas. The AI decoder will analyze your pattern and translate it into cursor movements in real-time. This demonstrates how brain-computer interfaces decode neural activity into actionable commands.
Draw spikes by clicking and dragging:
Spikes Detected: 0
Real-time cursor position:
X Position
150
Y Position
150
Confidence Level
0%
Last Direction
No movement yet
Total Movements
0
1. Neural Recording: Brain-computer interfaces use microelectrodes to record electrical activity from neurons. Each spike represents a neuron firing.
2. Pattern Recognition: Machine learning algorithms analyze the spatial and temporal patterns of neural spikes to identify the user's intent.
3. Decoding: The decoder translates neural patterns into commands—in this case, cursor movements in four directions.
4. Real-time Feedback: The system provides immediate visual feedback, allowing users to learn and adapt their neural patterns for better control.
Real-world applications: Paralyzed patients use BCIs like Neuralink and BrainGate to control robotic arms, type messages, and navigate computer interfaces using only their thoughts.