MF-Net learns a shared field state and mechanical transition rule from trajectories to deliver competitive forecasting and recoverable relation matrices on Lorenz-96 and real systems.
Progress of Theoretical Physics 76, 576–581
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Mixed-sign feedback disorder in Kuramoto-coupled active rotator networks reshapes pinning-drift balance, with weak coupling suppressing drift and stronger coupling restoring it when disorder is moderate.
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Mechanical Field Networks: Structured Neural Dynamics for Multivariate Systems
MF-Net learns a shared field state and mechanical transition rule from trajectories to deliver competitive forecasting and recoverable relation matrices on Lorenz-96 and real systems.
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Collective drift and pinning in active rotator networks with Kuramoto coupling and mixed-sign feedback disorder
Mixed-sign feedback disorder in Kuramoto-coupled active rotator networks reshapes pinning-drift balance, with weak coupling suppressing drift and stronger coupling restoring it when disorder is moderate.