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. 2010 May 6;6(5):e1000769. doi: 10.1371/journal.pcbi.1000769

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MacIver et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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(A) Electrosensory case. A black ghost knifefish is shown with the sensorium for detecting 3 mm long water fleas (Daphnia magna). Prey anywhere on or within the surface are detectable by the fish. From [12]. The volume of water which is scanned for prey will be the fish's velocity times its duration of movement, times the projected area of the sensorium in the direction of travel. In this case, the projected area is the height h times the width (dimension out of the plane of the figure) of the sensorium. As the body pitch increases, h increases and so does the projected area. (B) Visual case, assuming no swiveling of the eyes to compensate for body pitch. A stone moroko is shown with the sensorium for detecting 2 mm long water fleas (Daphnia pulex). From [22], as visualized in [12].

Inline graphic — (A) Electrosensory case. A black ghost knifefish is shown with the sensorium for detecting 3 mm long water fleas (Daphnia magna). Prey anywhere on or within the surface are detectable by the fish. From [12]. The volume of water which is scanned for prey will be the fish's velocity times its duration of movement, times the projected area of the sensorium in the direction of travel. In this case, the projected area is the height h times the width (dimension out of the plane of the figure) of the sensorium. As the body pitch increases, h increases and so does the projected area. (B) Visual case, assuming no swiveling of the eyes to compensate for body pitch. A stone moroko is shown with the sensorium for detecting 2 mm long water fleas (Daphnia pulex). From [22], as visualized in [12].