GENIUS - Global Electrome dyNamics, Interaction, acqUisition and uSe

Electrome dynamics emerge from electrical signals plants and fungi use to coordinate physiological functions, responding to environmental fluctuations. These dynamics are non-random, exhibit long-range spatio-temporal correlations, carry information over long-distances, signalling at the scales of hours and hundreds of metres, potentially realising a large-scale neuromorphic computing machine. We propose to examine the electrome of trees and fungi in a natural context to describe the complexity of their bioelectrical activity and correlate it with their health status and the occurrence of meteorological phenomena. GENIUS aims at installing an energetically autonomous remote infrastructure for the collection of the electrome in a natural environment, developing ad-hoc electronics, protocols and connection bridges for Artificial Intelligence of the Things applied to organisms of the Plantæ and Fungi kingdoms, correlating data generated by means of Machine Learning with measurable variables, extracting information about the overall systems’ behaviour by performing reservoir computing on the spatio-temporal series.