An educational tool exploring how AI could interpret neural signals across different species. This simulation visualizes theoretical neural patterns and their potential translations.
Select a species to simulate its neural communication patterns
Select a species and start simulation to see neural patterns...
Plants use electrical signals (action potentials) and chemical compounds (VOCs) for communication. Unlike animals, they lack centralized nervous systems but can transmit signals through their vascular systems.
AI systems analyze patterns in neural data to identify correlations. This simulation demonstrates how pattern recognition algorithms might interpret biological signals.
Researchers analyze electrical changes, chemical emissions, and correlate patterns with environmental conditions to understand species communication.