Status: OngoingReport ID: SPATIOTE-XX
Spatiotemporal Polychronization
Abstract
Information is not stored as static weight vectors but as precise electrical delays utilizing localized calcium traces. Specific data streams trigger repeatable spatiotemporal storms natively recognizing sequential structures.
Key Concept & Implementation
Utilizing time-of-flight between neurons to determine valid sequences over static pattern matching, drastically decreasing false positives.
Future Direction
Scaling the simulated time-step loop to sub-millisecond precision for hardware-level latency testing.
Nanoware AI / Research LabConfidential Output
