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This paper proposes a framework linking partially observable Markov decision processes (POMDPs) with biochemical reaction dynamics to model phototaxis in unicellular algae, using inverse reinforcement learning to infer behavioral objectives from experimental trajectories.
Recent studies have finally elucidated the molecular mechanism of the bacterial flagellar motor, revealing how it uses proton motive force to rotate and switch directions, resolving a decades-long quest in biophysics.