Wilson, Dan. Data-driven inference of high-accuracy isostable-based dynamical models in response to external inputs. Chaos: An Interdisciplinary Journal of Nonlinear Science 31.6 Web. doi:10.1063/5.0042874.

Wilson, Dan. Data-driven inference of high-accuracy isostable-based dynamical models in response to external inputs. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31 (6). https://doi.org/10.1063/5.0042874

Wilson, Dan. "Data-driven inference of high-accuracy isostable-based dynamical models in response to external inputs". Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (6). Country unknown/Code not available: American Institute of Physics. https://doi.org/10.1063/5.0042874. https://par.nsf.gov/biblio/10253776.

@article{osti_10253776,
place = {Country unknown/Code not available}, title = {Data-driven inference of high-accuracy isostable-based dynamical models in response to external inputs}, url = {https://par.nsf.gov/biblio/10253776}, DOI = {10.1063/5.0042874}, abstractNote = {Not Available}, journal = {Chaos: An Interdisciplinary Journal of Nonlinear Science}, volume = {31}, number = {6}, publisher = {American Institute of Physics}, author = {Wilson, Dan}, }