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Neural Network Identification of Run-and-Tumble Dynamics Governing Rules
Microorganisms such as E. coli and algae typically adjust their motility in response to external stimuli. While their behavioral response patterns are readily measurable, the underlying internal reaction dynamics are complex and more challenging to measure directly. Here, we propose a neural network approach that uncovers the governing rules from observable stimulus-response data, enabling the revelation of potential internal signaling structures. Lei et al. 2025
Image Credit: Shicong Lei and Min Tang
