Literature DB >> 14568217

Electric images of two low resistance objects in weakly electric fish.

Diego Rother1, Adriana Migliaro, Rafael Canetti, Leonel Gómez, Angel Caputi, Ruben Budelli.   

Abstract

Electroreceptive fish detect nearby objects by processing the information contained in the pattern of electric currents through their skin. In weakly electric fish, these currents arise from a self-generated field (the electric organ discharge), depending on the electrical properties of the surrounding medium. The electric image can be defined as the pattern of transepidermal voltage distributed over the receptive surface. To understand electrolocation it is necessary to know how electric image of objects are generated. In pulse mormyrids, the electric organ is localized at the tail, far from the receptors and fires a short biphasic pulse. Consequently, if all the elements in the environment are resistive, the stimulus at every point on the skin has the same waveform. Then, any measure of the amplitude (for example, the peak to peak amplitude) could be the unique parameter of the stimulus at any point of the skin. We have developed a model to calculate the image, corroborating that images are spread over the whole sensory surface and have an opposite center-surround, "Mexican-hat" shape. As a consequence, the images of different objects superimpose. We show theoretically and by simulation that the image of a pair of objects is not the simple addition of the individual images of these objects.

Mesh:

Year:  2003        PMID: 14568217     DOI: 10.1016/s0303-2647(03)00124-2

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  11 in total

Review 1.  Peripheral electrosensory imaging by weakly electric fish.

Authors:  A A Caputi; R Budelli
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-02-25       Impact factor: 1.836

Review 2.  Non-visual environmental imaging and object detection through active electrolocation in weakly electric fish.

Authors:  G von der Emde
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-01-28       Impact factor: 1.836

3.  Motion parallax in electric sensing.

Authors:  Federico Pedraja; Volker Hofmann; Kathleen M Lucas; Colleen Young; Jacob Engelmann; John E Lewis
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-02       Impact factor: 11.205

4.  Task-Related Sensorimotor Adjustments Increase the Sensory Range in Electrolocation.

Authors:  Federico Pedraja; Volker Hofmann; Julie Goulet; Jacob Engelmann
Journal:  J Neurosci       Date:  2019-12-09       Impact factor: 6.167

5.  Active electric imaging: body-object interplay and object's "electric texture".

Authors:  Angel A Caputi; Pedro A Aguilera; Ana Carolina Pereira
Journal:  PLoS One       Date:  2011-08-18       Impact factor: 3.240

6.  Fish geometry and electric organ discharge determine functional organization of the electrosensory epithelium.

Authors:  Juan Ignacio Sanguinetti-Scheck; Eduardo Federico Pedraja; Esteban Cilleruelo; Adriana Migliaro; Pedro Aguilera; Angel Ariel Caputi; Ruben Budelli
Journal:  PLoS One       Date:  2011-11-11       Impact factor: 3.240

7.  Theoretical analysis of pre-receptor image conditioning in weakly electric fish.

Authors:  Adriana Migliaro; Angel A Caputi; Ruben Budelli
Journal:  PLoS Comput Biol       Date:  2005-07-15       Impact factor: 4.475

8.  Spatial acuity and prey detection in weakly electric fish.

Authors:  David Babineau; John E Lewis; André Longtin
Journal:  PLoS Comput Biol       Date:  2007-03-02       Impact factor: 4.475

9.  Motor patterns during active electrosensory acquisition.

Authors:  Volker Hofmann; Bart R H Geurten; Juan I Sanguinetti-Scheck; Leonel Gómez-Sena; Jacob Engelmann
Journal:  Front Behav Neurosci       Date:  2014-05-28       Impact factor: 3.558

10.  Electric imaging through evolution, a modeling study of commonalities and differences.

Authors:  Federico Pedraja; Pedro Aguilera; Angel A Caputi; Ruben Budelli
Journal:  PLoS Comput Biol       Date:  2014-07-10       Impact factor: 4.475

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