Ensemble Kalman filtering without a model F Hamilton, T Berry, T Sauer Physical Review X 6 (1), 011021, 2016 | 105 | 2016 |
Hybrid modeling and prediction of dynamical systems F Hamilton, AL Lloyd, KB Flores PLoS Computational Biology 13 (7), e1005655, 2017 | 74 | 2017 |
Real-time tracking of neuronal network structure using data assimilation F Hamilton, T Berry, N Peixoto, T Sauer Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 88 (5 …, 2013 | 62 | 2013 |
Detecting connectivity changes in neuronal networks T Berry, F Hamilton, N Peixoto, T Sauer Journal of neuroscience methods 209 (2), 388-397, 2012 | 38 | 2012 |
Predicting chaotic time series with a partial model F Hamilton, T Berry, T Sauer Physical Review E 92 (1), 010902, 2015 | 36 | 2015 |
Kalman-Takens filtering in the presence of dynamical noise F Hamilton, T Berry, T Sauer The European Physical Journal Special Topics 226, 3239-3250, 2017 | 29 | 2017 |
Differential responses to ω-agatoxin IVA in murine frontal cortex and spinal cord derived neuronal networks GL Knaack, H Charkhkar, FW Hamilton, N Peixoto, TJ O'Shaughnessy, ... NeuroToxicology 37, 19-25, 2013 | 23 | 2013 |
Tracking intracellular dynamics through extracellular measurements F Hamilton, T Berry, T Sauer PloS one 13 (10), e0205031, 2018 | 19 | 2018 |
Nonlinear Kalman Filtering for Censored Observations J Arthur, A Attarian, F Hamilton, H Tran Applied Mathematics and Computation 316, 155-166, 2017 | 18 | 2017 |
Non‐parametric Data Assimilation Scheme for Land Hydrological Applications M Khaki, F Hamilton, E Forootan, I Hoteit, J Awange, M Kuhn Water Resources Research, 2018 | 17 | 2018 |
Correcting observation model error in data assimilation F Hamilton, T Berry, T Sauer Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (5), 2019 | 15 | 2019 |
Reconstructing neural dynamics using data assimilation with multiple models F Hamilton, J Cressman, N Peixoto, T Sauer Europhysics Letters 107 (6), 68005, 2014 | 14 | 2014 |
Parameter estimation in differential equations: A numerical study of shooting methods F Hamilton SIAM Undergraduate Research Online 4 (16-31), 1, 2011 | 14 | 2011 |
Forecasting and uncertainty quantification using a hybrid of mechanistic and non-mechanistic models for an age-structured population model J Lagergren, A Reeder, F Hamilton, RC Smith, KB Flores Bulletin of mathematical biology 80, 1578-1595, 2018 | 13 | 2018 |
Time-dependent increase in network response to stimulation F Hamilton, R Graham, L Luu, N Peixoto PloS one 10 (11), e0142399, 2015 | 11 | 2015 |
Detection of bladder contractions from the activity of the external urethral sphincter in rats using sparse regression EM Rutter, CL Langdale, JA Hokanson, F Hamilton, H Tran, WM Grill, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (8 …, 2018 | 6 | 2018 |
Adaptive filtering for hidden node detection and tracking in networks F Hamilton, B Setzer, S Chavez, H Tran, AL Lloyd Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (7), 2017 | 6 | 2017 |
Target engagement with transcranial current stimulation F Fröhlich, R Force, WA Huang, C Lustenberger, T McPherson, J Riddle, ... Transcranial Direct Current Stimulation in Neuropsychiatric Disorders …, 2021 | 3 | 2021 |
Dynamic steering of in vitro cortical neurons using field stimulation F Hamilton, A Akhavian, G Knaack, H Charkhkar, S Minnikanti, WJ Kim, ... 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 1 | 2014 |
Nonlinear kalman filtering for censored observations FW Hamilton, HT Tran, A Attarian North Carolina State University. Center for Research in Scientific Computation, 2017 | | 2017 |