Attemp of an Analysis of Human Biological Neural Algorithm for Sensing Earthquake Precursors

This edition has made a major update on the contents of neuroscience

We statistically validated the 2011-2022 earthquake prediction records of Ada, the

sixth finalist of the second Chinese AETA in 2021 (Supplementary 1), who made 147

proseismic forecasts (60% of which were 5.5 magnitude earthquakes) in 12 years

with a prediction accuracy above 70% with a confidence level of 95%. Since the

reliable seismic precursor signals described by Ada and the Alfvén wave

characteristics match quite well, this paper proposes a hypothesis on how to trigger

proseismicity based on the Alfvén superlength wave model of Gillette et al. (Q G)

Note (2): When the plume of the upper mantle column intrudes into the magma and

lithosphere of the soft flow layer during the rising and falling exchange of hot and

cold molten material masses in the deep interior of the Earth, it is possible, under

certain conditions, to bulk and surface plasma sheets are formed, forming Alfven

nonlinear isolated wavelets, and Alfven waves frequently perturb the geomagnetic

field and release huge heat and kinetic energy thus triggering earthquakes.