Analysis of 34 real networks shows real interaction strengths organize functional memory at greater hierarchical depth than random weights, collapsing onto four recurrent dynamical organizations with weight geometry as the primary driver.
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Weight geometry governs functional memory in complex systems
Analysis of 34 real networks shows real interaction strengths organize functional memory at greater hierarchical depth than random weights, collapsing onto four recurrent dynamical organizations with weight geometry as the primary driver.