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Spatial Acuity and Prey Detection in Weakly Electric Fish

Overview of attention for article published in PLoS Computational Biology, March 2007
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Title
Spatial Acuity and Prey Detection in Weakly Electric Fish
Published in
PLoS Computational Biology, March 2007
DOI 10.1371/journal.pcbi.0030038
Pubmed ID
Authors

David Babineau, John E Lewis, André Longtin

Abstract

It is well-known that weakly electric fish can exhibit extreme temporal acuity at the behavioral level, discriminating time intervals in the submicrosecond range. However, relatively little is known about the spatial acuity of the electrosense. Here we use a recently developed model of the electric field generated by Apteronotus leptorhynchus to study spatial acuity and small signal extraction. We show that the quality of sensory information available on the lateral body surface is highest for objects close to the fish's midbody, suggesting that spatial acuity should be highest at this location. Overall, however, this information is relatively blurry and the electrosense exhibits relatively poor acuity. Despite this apparent limitation, weakly electric fish are able to extract the minute signals generated by small prey, even in the presence of large background signals. In fact, we show that the fish's poor spatial acuity may actually enhance prey detection under some conditions. This occurs because the electric image produced by a spatially dense background is relatively "blurred" or spatially uniform. Hence, the small spatially localized prey signal "pops out" when fish motion is simulated. This shows explicitly how the back-and-forth swimming, characteristic of these fish, can be used to generate motion cues that, as in other animals, assist in the extraction of sensory information when signal-to-noise ratios are low. Our study also reveals the importance of the structure of complex electrosensory backgrounds. Whereas large-object spacing is favorable for discriminating the individual elements of a scene, small spacing can increase the fish's ability to resolve a single target object against this background.

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Geographical breakdown

Country Count As %
United States 1 1%
Canada 1 1%
Unknown 84 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 29%
Researcher 14 16%
Student > Master 13 15%
Student > Bachelor 12 14%
Professor > Associate Professor 5 6%
Other 12 14%
Unknown 5 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 59%
Neuroscience 10 12%
Engineering 5 6%
Biochemistry, Genetics and Molecular Biology 4 5%
Sports and Recreations 3 3%
Other 7 8%
Unknown 6 7%