A nonlinear estimator for the activity of neuronal populations in the hippocampus

Michelle Chong (1) , Romain Postoyan (1) , Dragan Nesic (1) , Levin Kuhlmann (1) , Andrea Varsavsky (1)

1 Department of Electrical and Electronic Engineering [Melbourne]

We present an estimator design to reconstruct the mean membrane potential of individual neuronal populations from a single channel simulated electroencephalographic signal based on a model of the hippocampus. The robustness of the estimator against variations in the synaptic gains of the neuronal populations and disturbances in the input and measurement is studied. Our results are further illustrated in simulations.

Mots clés: stability; system state estimation; brain models; biomedical; robustness; stability.

Domaines: Automatique / Robotique

Michelle Chong, Romain Postoyan, Dragan Nesic, Levin Kuhlmann, Andrea Varsavsky. A nonlinear estimator for the activity of neuronal populations in the hippocampus. IFAC World Congress, 2011, Milan, Italy. pp.9899-9904, ⟨10.3182/20110828-6-IT-1002.01844⟩. ⟨hal-00768749⟩