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Distance Discrimination of Weakly Electric Fish with a Sweep of Tail Bending Movements

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5777))

Abstract

Weakly electric fish use active electrolocation to identify objects. They generate electric field by the electric organ discharge and perceive the distortion of electric image with existence of certain object. There have been many researches to comprehend the electrolocation mechanism of electric fishes. It is known that the ratio between the maximal slope of electric image and its maximal amplitude can discriminate object distances, regardless of object size and conductivity. In this paper, we suggest that the temporal pattern with tail bending is another cue to disciminate object distances. As a result, the electric field pattern for a specific electroreceptor shows consistency, regardless of object size and conductivity, when the distance is constant. Also, the lateral location of an object significantly changes the temporal pattern of electric image.

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References

  1. Caputi, A., Budelli, R.: Peripheral electrosensory imaging by weakly electric fish. Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology 192(6), 587–600 (2006)

    Article  Google Scholar 

  2. Rasnow, B.: The effects of simple objects on the electric field of Apteronotus. Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology 178(3), 397–411 (1996)

    Google Scholar 

  3. Chen, L., House, J., Krahe, R., Nelson, M.: Modeling signal and background components of electrosensory scenes. Journal of Comparative Physiology A: Sensory, Neural, and Behavioral Physiology 191(4), 331–345 (2005)

    Article  Google Scholar 

  4. Von der Emde, G., Schwarz, S., Gomez, L., Budelli, R., Grant, K.: Electric fish measure distance in the dark. Nature 395(6705), 890–894 (1998)

    Article  Google Scholar 

  5. Von der Emde, G.: Active electrolocation of objects in weakly electric fish (1999)

    Google Scholar 

  6. Sicardi, E., Caputi, A., Budelli, R.: Physical basis of distance discrimination in weakly electric fish. Physica A: Statistical Mechanics and its Applications 283(1-2), 86–93 (2000)

    Article  Google Scholar 

  7. Schwarz, S., von der Emde, G.: Distance discrimination during active electrolocation in the weakly electric fish Gnathonemus petersii. Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology 186(12), 1185–1197 (2001)

    Article  Google Scholar 

  8. Heiligenberg, W.: Neural nets in electric fish. MIT Press, Cambridge (1991)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Sim, M., Kim, D. (2011). Distance Discrimination of Weakly Electric Fish with a Sweep of Tail Bending Movements. In: Kampis, G., Karsai, I., Szathmáry, E. (eds) Advances in Artificial Life. Darwin Meets von Neumann. ECAL 2009. Lecture Notes in Computer Science(), vol 5777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21283-3_8

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  • DOI: https://doi.org/10.1007/978-3-642-21283-3_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21282-6

  • Online ISBN: 978-3-642-21283-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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