Chemoreception in fishes

Atema, Jelle; Finger, Thomas

doi:10.1016/0376-6357(85)90092-0

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“…continuous versus pulsed) (Moore and Atema 1991, Webster and Weissburg 2001, Crimaldi et al 2002, Keller and Weissburg 2004. Since many crustaceans track plumes too rapidly to rely on gradients of mean properties such as time-averaged concentration (Grasso andBasil 2002, Webster andWeissburg 2009), it has been suggested that their sensors must sample the instantaneous properties of an odorant plume (Atema 1985, Moore et al 1991, Weissburg and Zimmer-Faust 1993, Gomez et al 1994, Zimmer-Faust et al 1995, Koehl 2001b, 2006, Moore and Crimaldi 2004, Page et al 2011a, 2011b. Furthermore, many crustaceans 'sniff', i.e.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulations of odorant detection by biologically inspired sensor arrays

et al. 2011

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The antennules of many marine crustaceans enable them to rapidly locate sources of odorant in turbulent environmental flows and may provide biological inspiration for engineered plume sampling systems. A substantial gap in knowledge concerns how the physical interaction between a sensing device and the chemical filaments forming a turbulent plume affects odorant detection and filters the information content of the plume. We modeled biological arrays of chemosensory hairs as infinite arrays of odorant flux-detecting cylinders and simulated the fluid flow around and odorant flux into the hair-like sensors as they intercepted a single odorant filament. As array geometry and sampling kinematics were varied, we quantified distortion of the flux time series relative to the spatial shape of the original odorant filament as well as flux metrics that may be important to both organisms and engineered systems attempting to measure plume structure and/or identify chemical composition. The most important predictor of signal distortion is the ratio of sensor diameter to odorant filament width. Achieving high peak properties (e.g. sharpness) of the flux time series and maximizing the total number of odorant molecules detected appear to be mutually exclusive design goals. Sensor arrays inspired specifically by the spiny lobster Panulirus argus and mantis shrimp Gonodactylaceus falcatus introduce little signal distortion but these species' neural systems may not be able to resolve plume structure at the level of individual filaments via temporal properties of the odorant flux. Current chemical sensors are similarly constrained. Our results suggest either that the spatial distribution of flux across the aesthetasc array is utilized by P. argus and G. falcatus, or that such high spatiotemporal resolution is unnecessary for effective plume tracking.

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Section: Introductionmentioning

confidence: 99%