Neural Signals
Neural Signal Protocol
Real-time communication for data exchange, coordination, and event distribution — inspired by biological neural signaling for instant mesh-wide coordination.
Signal Types
Query Signals
Request information from other neurons with automatic routing to the most appropriate node based on data location and availability.
Response Signals
Reply to queries with enriched metadata including confidence scores, processing time, and source attribution.
Knowledge Signals
Transfer knowledge and embeddings between neurons for distributed learning and knowledge synchronization.
Optimize Signals
System-wide optimization requests for topology adjustment, load balancing, and performance tuning.
Heartbeat Signals
Periodic health checks for node monitoring, failure detection, and automatic recovery coordination.
Signal Processing
Priority Queuing
Signals prioritized by importance level — critical signals processed immediately, normal signals queued for efficient processing.
Signal Routing
Intelligent routing based on mesh topology, node capabilities, and network conditions for optimal signal delivery.
Signal Aggregation
Batch similar signals for efficient processing and reduced network overhead while maintaining real-time responsiveness.
TTL Management
Time-to-live tracking ensures stale signals are automatically expired and removed from the mesh.