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Shenghao Tan

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Open access Aug 2026

A traveling network model predicts emergent dynamics and search behavior from local remodeling in Physarum polycephalum

These findings demonstrate how a traveling network model can capture P. polycephalum behaviors, highlighting the potential to use traveling networks more broadly for understanding and predicting connected dynamic systems by linking local measurements to emergent, system-wide behaviors.

Arnold Chen, Shenghao Tan, Yash V. Mundewadi et al. · 0 citations

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