90 citations · 205 across the 7 of their papers we have counts for
7 papers
Identification of nonlinear noisy dynamics of an ecosystem from observations of one of its trajectory components
V. N. Smelyanskiy, D. G. Luchinsky, M. Millons
The problem of determining dynamical models and trajectories that describe observed time-series data allowing for the understanding, prediction and possibly control of complex syst…
Inference of a nonlinear stochastic model of the cardiorespiratory interaction
V. N. Smelyanskiy, D. G. Luchinsky, A. Stefanovska +1
A new technique is introduced to reconstruct a nonlinear stochastic model of the cardiorespiratory interaction. Its inferential framework uses a set of polynomial basis functions r…
Reconstruction of stochastic nonlinear dynamical models from trajectory measurements
V. N. Smelyanskiy, D. G. Luchinsky, D. A. Timucin +1
A new algorithm is presented for reconstructing stochastic nonlinear dynamical models from noisy time-series data. The approach is analytical; consequently, the resulting algorithm…
Model reconstruction of nonlinear dynamical systems driven by noise
V. N. Smelyanskiy, D. A. Timucin, A. Bandrivskyy +1
An efficient technique is introduced for model inference of complex nonlinear dynamical systems driven by noise. The technique does not require extensive global optimization, provi…
Activated escape of periodically driven systems
M. I. Dykman, B. Golding, L. I. McCann +4
We discuss activated escape from a metastable state of a system driven by a time-periodic force. We show that the escape probabilities can be changed very strongly even by a compar…
High Frequency Stochastic Resonance in Periodically Driven Systems
M. I. Dykman, D. G. Luchinsky, R. Mannella +4
High frequency stochastic resonance (SR) phenomena, associated with fluctuational transitions between coexisting periodic attractors, have been investigated experimentally in an el…