Jean Faber

Epileptic seizure suppression: a computational approach for identification and control using real data

This paper proposes an autoregressive modeling approach for identifying and controlling epileptic seizures using real data, showing effectiveness in attenuating seizures and driving signals to interictal stages.

Frequency-coded patterns of sympathetic vasomotor activity are differentially evoked by the paraventricular nucleus of the hypothalamus in the Goldblatt hypertension model

The paper investigates frequency-coded patterns of sympathetic vasomotor activity in the PVN of hypertensive rats, finding differential spectral responses in renal and splanchnic nerves.

Self-organization of in vitro neuronal assemblies drives to complex network topology

The paper studies how neuronal network topology evolves in vitro by analyzing electrophysiological signals from rat hippocampal cultures, finding increasing integration and complex topological features.