3 citations · 3 across the 6 of their papers we have counts for
6 papers
Deviations from global coupling in adaptive oscillator networks: a mean-field theory for the variance of coupling weights
Richard Gast, Shotaro Takasu, Juergen Kurths +1
A wide range of physical and biological systems are adaptive networks, in which the dynamics of the nodes and of the edges connecting them co-evolve. Mean-field reductions of such…
Local connectivity balance shapes population dynamics in random recurrent networks
Shotaro Takasu, Richard Gast, Ann Kennedy
Disordered dynamical systems comprising many interacting units, from ecological communities to neural circuits, are ubiquitous, and understanding how connectivity shapes their coll…
A multi-ensemble mean-field reduction method for networks of globally coupled phase oscillators with arbitrary parameter distributions
Richard Gast, Shotaro Takasu, Helmut Schmidt +1
Understanding the dynamical properties of coupled phase oscillator systems with heterogeneous oscillator frequencies has been a long-standing challenge of complex systems theory. W…
BiomechGPT: Extending Motion-Language Models to Clinical Motion Understanding
Ruize Yang, Ann Kennedy, R. James Cotton
Advances in markerless motion capture are making high-quality biomechanical data increasingly accessible, creating a growing need for scalable downstream analytics. Building a besp…
PyRates -- A Code-Generation Tool for Dynamical Systems Modeling
Richard Gast, Thomas R. Knösche, Ann Kennedy
Mathematical models allow us to gain a deeper understanding of real-world dynamical systems. One of the most powerful mathematical frameworks for modeling real-world phenomena are…
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos
Jennifer J. Sun, Lili Karashchuk, Amil Dravid +9
Quantifying motion in 3D is important for studying the behavior of humans and other animals, but manual pose annotations are expensive and time-consuming to obtain. Self-supervised…