Maximilian V. Harl

The paper investigates how efficient coding operates in perception and valuation stages of goal-directed behavior, finding that both stages use separate efficient codes that interact to shape behavior.

This study introduces a gain-adaptive recurrent network model that explains adaptive tuning curves and reconciles adapter repulsion and prior attraction in sensory systems.

The paper introduces NeEDL, a network medicine-based method for detecting higher-order epistatic interactions in complex diseases, showing improved statistical significance and applicability across eight diseases.