CPC G06V 10/7715 (2022.01) [A61B 5/00 (2013.01); A61B 5/055 (2013.01); G01R 33/5608 (2013.01); G06F 18/2135 (2023.01); G06F 18/24133 (2023.01); G06T 7/0012 (2013.01); G01R 33/4806 (2013.01); G01R 33/56341 (2013.01); G06F 2218/12 (2023.01); G06T 7/0016 (2013.01); G06T 2207/10044 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20048 (2013.01); G06T 2207/30016 (2013.01)] | 11 Claims |
1. A method for determining connectivity within a dynamic system represented by complex spatio-temporal data, the method comprising, in a computer processor:
inputting signal data corresponding to the dynamic system into the computer processor, the signal data comprising points within a lattice;
ranking a plurality of optimal paths within the lattice according to path entropy, wherein the rankings are arranged in a coupling matrix;
using eigenvalues and eigenvectors from the coupling matrix to construct an information Hamiltonian;
estimating mode amplitudes corresponding to spatially and temporally interacting modes of the information Hamiltonian, wherein the mode amplitudes correspond to space and time localization patterns; and
generating an output comprising a display of space and time localization patterns that are indicative of connectivity within the dynamic system.
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