Found 17 results
Filters: Author is Abarbanel, H. D. I.  [Clear All Filters]
Abarbanel H.DI, Rozdeba P.J, Shirman S..  2018.  Machine learning: Deepest learning as statistical data assimilation problems. Neural Computation. 30:2025-2055.
Wang J., Breen D., Akinin A., Broccard F., Abarbanel H.DI, Cauwenberghs G..  2017.  Assimilation of biophysical neuronal dynamics in neuromorphic VLSI. 11:1258-1270.
An Z., Rey D., Ye J.X, Abarbanel H.DI.  2017.  Estimating the state of a geophysical system with sparse observations: time delay methods to achieve accurate initial states for prediction. Nonlinear Processes in Geophysics. 24:9-22.
Armstrong E., Patwardhan A.V, Johns L., Kishimoto C.T, Abarbanel H.DI, Fuller G.M.  2017.  An optimization-based approach to calculating neutrino flavor evolution. Physical Review D. 96
Kadakia N., Rey D., Ye J., Abarbanel H.DI.  2017.  Symplectic structure of statistical variational data assimilation. Quarterly Journal of the Royal Meteorological Society. 143:756-771.
Abarbanel H.DI, Shirman S., Breen D., Kadakia N., Rey D., Armstrong E., Margoliash D..  2017.  A unifying view of synchronization for data assimilation in complex nonlinear networks. Chaos. 27
Nogaret A., Meliza C.D, Margoliash D., Abarbanel H.DI.  2016.  Automatic construction of predictive neuron models through large scale assimilation of electrophysiological data. Scientific Reports. 6
Armstrong E., Abarbanel H.DI.  2016.  Model of the songbird nucleus HVC as a network of central pattern generators. Journal of Neurophysiology. 116:2405-2419.
Kadakia N., Armstrong E., Breen D., Morone U., Daou A., Margoliash D., Abarbanel H.DI.  2016.  Nonlinear statistical data assimilation for HVCRA neurons in the avian song system. Biological Cybernetics. 110:417-434.
Schumann-Bischoff J., Parlitz U., Abarbanel H.DI, Kostuk M., Rey D., Eldridge M., Luther S..  2015.  Basin structure of optimization based state and parameter estimation. Chaos. 25
Nogaret A., O'Callaghan E.L, Lataro R.M, Salgado H.C, Meliza C.D, Duncan E., Abarbanel H.DI, Paton J.FR.  2015.  Silicon central pattern generators for cardiac diseases. Journal of Physiology-London. 593:763-774.
Ye J.X, Rey D., Kadakia N., Eldridge M., Morone U.I, Rozdeba P., Abarbanel H.DI, Quinn J.C.  2015.  Systematic variational method for statistical nonlinear state and parameter estimation. Physical Review E. 92
Rey D., Eldridge M., Kostuk M., Abarbanel H.DI, Schumann-Bischoff J., Parlitz U..  2014.  Accurate state and parameter estimation in nonlinear systems with sparse observations. Physics Letters A. 378:869-873.
Knowlton C., Meliza C.D, Margoliash D., Abarbanel H.DI.  2014.  Dynamical estimation of neuron and network properties III: network analysis using neuron spike times. Biological Cybernetics. 108:261-273.
Meliza C.D, Kostuk M., Huang H., Nogaret A., Margoliash D., Abarbanel H.DI.  2014.  Estimating parameters and predicting membrane voltages with conductance-based neuron models. Biological Cybernetics. 108:495-516.
Ye J.X, Rozdeba P.J, Morone U.I, Daou A., Abarbanel H.DI.  2014.  Estimating the biophysical properties of neurons with intracellular calcium dynamics. Physical Review E. 89
Whartenby W.G, Quinn J.C, Abarbanel H.DI.  2013.  The number of required observations in data assimilation for a shallow-water flow. Monthly Weather Review. 141:2502-2518.