Sebastian Säger

Temporal kinetics of brain state effects on visual perception

This study examines how brain states affect visual perception, finding rapid transitions between states and reduced high-frequency activity during inattention without impairing sensory discrimination.

Machine-Learning-Based spike marking in signal and source space EEG from a patient with focal epilepsy

This paper uses artificial neural networks to classify interictal epileptiform discharges in EEG data from a patient with focal epilepsy, achieving high accuracy in signal and source space analyses.

Data-Driven Discovery of Feedback Mechanisms in Acute Myeloid Leukaemia: Alternatives to classical models using Deep Nonlinear Mixed Effect modeling and Symbolic Regression

This paper introduces a method combining DeepNLME and symbolic regression to discover feedback mechanisms in acute myeloid leukaemia using longitudinal data, outperforming baseline models.

Mathematical Models for the Influence of Cytarabine on White Blood Cell Dynamics in Acute Myeloid Leukemia

The paper develops and evaluates mathematical models to predict white blood cell dynamics during cytarabine treatment in AML, finding that different models yield similar accuracy and identifying a new pharmacodynamic hypothesis.