Turbulent Olfactory Navigation

How it works

Comparisons

Highlighted claims

• Turbulent odor plumes are highly intermittent, with molecules arriving in sparse, unpredictable filaments rather than smooth gradients. — Clock-state olfactory search in turbulent flows using Q-learning: The geometry of plume recovery
• After detecting an odor cue, insects typically surge upwind, then cast laterally, and finally return downwind if the plume is lost. — Clock-state olfactory search in turbulent flows using Q-learning: The geometry of plume recovery
• Casting behavior is highly stereotyped in flying moths but temporally variable in flying Drosophila and walking cockroaches. — Clock-state olfactory search in turbulent flows using Q-learning: The geometry of plume recovery
• Experimental evidence from walking Drosophila indicates that time elapsed since the last odor detection is a primary driver of navigation behavior. — Clock-state olfactory search in turbulent flows using Q-learning: The geometry of plume recovery