A data-driven biomechanical modeling and optimization pipeline for studying salamander locomotions
Computational biomechanical models have been essential in understanding the interplay between neurons, biomechanics, and physical environments. The salamander Pleurodeles waltl is one important model organism for studying neuromechanics behind amphibious locomotion with regeneration capabilities. However, previous salamander models were either strongly simplified in geometry and physics or relied heavily on artificial parameter tuning without an accurate mapping of experimental data. Here, we present a biomechanical modeling and optimization pipeline grounded in animal data to build a biologic