A new framework infers multiscale stochastic neuromechanical models from neural and locomotion recordings to accurately describe and predict C. elegans dynamics for potential optogenetic control.
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2026 2verdicts
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A framework builds stable neural models of turbulent dynamics by enforcing energy-preserving nonlinearities and causal constraints in discrete-time flow maps, demonstrated on Charney-DeVore and Lorenz-96 systems.
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Predicting and controlling nonlinear neuro-mechanical locomotion dynamics
A new framework infers multiscale stochastic neuromechanical models from neural and locomotion recordings to accurately describe and predict C. elegans dynamics for potential optogenetic control.
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Physics and causally constrained discrete-time neural models of turbulent dynamical systems
A framework builds stable neural models of turbulent dynamics by enforcing energy-preserving nonlinearities and causal constraints in discrete-time flow maps, demonstrated on Charney-DeVore and Lorenz-96 systems.