Barna Zajzon

The paper shows that topographic modularity in neural circuits improves signal-to-noise ratio and task performance through recurrent inhibition.

The paper replicates and analyzes a modular spiking network with reward-based learning, highlighting its robustness and limitations under different conditions.

This study investigates how structured connectivity in modular spiking networks enables efficient and accurate information transfer between modules during stimulus processing.