Michael A. Gil

The paper quantifies collective movement phenotypes in ray-finned fishes using machine learning and finds it correlates with predation pressure, diet, and increased diversification rates.

This study shows that stable behavioral diversity can emerge in predator groups through shared learning, with group performance depending on specific strategy combinations.

The paper examines how behavioral plasticity in animals can shift indirect interactions in ecological networks from competition to mutualism or parasitism through changes in predator-prey dynamics.