title: Tracking and control of neuronal Hodgkin-Huxley dynamics.
abstract: Nonlinear ensemble state estimation offers a paradigm-shifting improvement in our ability to observe, predict, and control the state of spiking neuronal systems. We use an ensemble Kalman filter to predict hidden states and future trajectories in the Hodgkin-Huxley equations, reconstruct ion dynamics, control neuronal activity including a strategy for dynamic conductance clamping, and show the feasibility of controlling pathological cellular activity such as seizures.
authors.affiliation: Center for Neural Engineering, Department of Engineering Science and Mechanics, The Pennsylvania State University, 212 Earth-Engineering Sciences Building, University Park, Pennsylvania 16802, USA. ghanim@psu.edu
authors.forename: Ghanim
authors.initials: G
authors.lastname: Ullah
authors.forename: Steven J
authors.initials: SJ
authors.lastname: Schiff
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000465:Algorithms; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics; D011188:Potassium / Q000378:metabolism
chemical_list: D011188:Potassium