Wilhelm Braun

The paper constructs a model connectome for Hydra's N3 nerve net and shows it can generate both short-lived and persistent activity patterns related to behavior.

The paper compares methods for estimating effective connectivity in neural networks, finding that lagged-cross-correlation performs best in sparse networks with delays and noise.

The paper investigates a two-population model of hippocampal CA1 to generate ripple oscillations and sequence replay, finding that structured connectivity and temporally narrow excitation are key for realistic oscillations and sparse pyramidal cell spiking.

This paper develops a neuronal network model for the moon jelly Aurelia aurita to understand how neural activity controls its energy-efficient swimming behavior.