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Electric fish measure distance in the dark

Author

Listed:
  • Gerhard von der Emde

    (Institute für Zoologie, Universität Bonn, Poppelsdorfer Schloss)

  • Stephan Schwarz

    (Institute für Zoologie, Universität Bonn, Poppelsdorfer Schloss)

  • Leonel Gomez

    (Institute Alfred Fessard, C.N.R.S.
    Faculty of Science, University of the Republic of Uruguay)

  • Ruben Budelli

    (Faculty of Science, University of the Republic of Uruguay)

  • Kirsty Grant

    (Institute Alfred Fessard, C.N.R.S.)

Abstract

Distance determination in animals can be achieved by visual or non-visual cues1. Weakly electric fish use active electrolocation for orientation in the dark2. By perceiving self-produced electric signals with epidermal electroreceptors, fish can detect, locate and analyse nearby objects. Distance discrimination, however, was thought to be hardly possible because it was assumed that confusing ambiguity could arise with objects of unknown sizes and materials3,4,5. Here we show that during electrolocation electric fish can measure the distance of most objects accurately, independently of size, shape and material. Measurements of the ‘electric image’ projected onto the skin surface during electrolocation6,7,8 revealed only one parameter combination that was unambiguously related to object distance: the ratio between maximal image slope and maximal image amplitude. However, slope-to-amplitude ratios for spheres were always smaller than those for other objects. As predicted, these objects were erroneously judged by the fish to be further away than all other objects at an identical distance. Our results suggest a novel mechanism for depth perception that can be achieved with a single, stationary two-dimensional array of detectors.

Suggested Citation

  • Gerhard von der Emde & Stephan Schwarz & Leonel Gomez & Ruben Budelli & Kirsty Grant, 1998. "Electric fish measure distance in the dark," Nature, Nature, vol. 395(6705), pages 890-894, October.
    • Handle: RePEc:nat:nature:v:395:y:1998:i:6705:d:10.1038_27655
    DOI: 10.1038/27655
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    Cited by:

    1. Caroline G Forlim & Reynaldo D Pinto, 2014. "Automatic Realistic Real Time Stimulation/Recording in Weakly Electric Fish: Long Time Behavior Characterization in Freely Swimming Fish and Stimuli Discrimination," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-14, January.
    2. Na Yu & Ginette Hupé & Charles Garfinkle & John E Lewis & André Longtin, 2012. "Coding Conspecific Identity and Motion in the Electric Sense," PLOS Computational Biology, Public Library of Science, vol. 8(7), pages 1-16, July.
    3. Caroline Garcia Forlim & Reynaldo Daniel Pinto & Pablo Varona & Francisco B Rodríguez, 2015. "Delay-Dependent Response in Weakly Electric Fish under Closed-Loop Pulse Stimulation," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-14, October.

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