Literature DB >> 16099058

Electrosensory interference in naturally occurring aggregates of a species of weakly electric fish, Eigenmannia virescens.

Eric W Tan1, Jonathan M Nizar, Erika Carrera-G, Eric S Fortune.   

Abstract

The detection and identification of behaviorally relevant signals in the presence of competing signals in the environment is a major challenge of animal sensory systems. In weakly electric fish such as Eigenmannia virescens, the interactions between the autogenous electric field and the electric fields of nearby conspecifics can have profound effects on the perception of other behaviorally relevant electrosensory information. To better understand the natural signals that the nervous system of Eigenmannia experiences during the processing of electrosensory information, we examined the electrosensory milieu of Eigenmannia in the wild and in the laboratory. Recordings of the electric fields of Eigenmannia were made in 'black' and 'white' waters near the Napo River in eastern Ecuador. Fourier analysis revealed that Eigenmannia typically experience the electric fields of three to five conspecifics during the day and night in each habitat. The median difference in electric organ discharge frequencies between nearby Eigenmannia during the day was 23 Hz in black water habitats, 41 Hz in white water, and 37 Hz at night in both habitats: these signals are known to activate tuberous electroreceptors and downstream CNS circuits. There was no correlation between the number of individual Eigenmannia detected at recording sites and electric organ discharge frequencies. Further, Eigenmannia apparently do not maximize the frequency differences between conspecifics. In laboratory studies fish were preferentially observed in aggregates of two fish or more. Aggregate sizes observed in the laboratory were similar to those in the wild.

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Year:  2005        PMID: 16099058     DOI: 10.1016/j.bbr.2005.06.014

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  14 in total

1.  Sub- and suprathreshold adaptation currents have opposite effects on frequency tuning.

Authors:  Tara Deemyad; Jens Kroeger; Maurice J Chacron
Journal:  J Physiol       Date:  2012-06-25       Impact factor: 5.182

2.  Neural heterogeneities influence envelope and temporal coding at the sensory periphery.

Authors:  M Savard; R Krahe; M J Chacron
Journal:  Neuroscience       Date:  2010-10-28       Impact factor: 3.590

Review 3.  Encoding and processing biologically relevant temporal information in electrosensory systems.

Authors:  E S Fortune; G J Rose; M Kawasaki
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-02-01       Impact factor: 1.836

4.  The cellular basis for parallel neural transmission of a high-frequency stimulus and its low-frequency envelope.

Authors:  Jason W Middleton; André Longtin; Jan Benda; Leonard Maler
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-18       Impact factor: 11.205

Review 5.  Perception and coding of envelopes in weakly electric fishes.

Authors:  Sarah A Stamper; Eric S Fortune; Maurice J Chacron
Journal:  J Exp Biol       Date:  2013-07-01       Impact factor: 3.312

6.  Temporal processing across multiple topographic maps in the electrosensory system.

Authors:  Rüdiger Krahe; Joseph Bastian; Maurice J Chacron
Journal:  J Neurophysiol       Date:  2008-05-28       Impact factor: 2.714

7.  Effects of restraint and immobilization on electrosensory behaviors of weakly electric fish.

Authors:  Eva M Hitschfeld; Sarah A Stamper; Katrin Vonderschen; Eric S Fortune; Maurice J Chacron
Journal:  ILAR J       Date:  2009

8.  Chirping and asymmetric jamming avoidance responses in the electric fish Distocyclus conirostris.

Authors:  Jacquelyn M Petzold; José A Alves-Gomes; G Troy Smith
Journal:  J Exp Biol       Date:  2018-09-10       Impact factor: 3.312

9.  The complexity of high-frequency electric fields degrades electrosensory inputs: implications for the jamming avoidance response in weakly electric fish.

Authors:  Aaron R Shifman; John E Lewis
Journal:  J R Soc Interface       Date:  2018-01       Impact factor: 4.118

10.  The spatial structure of stimuli shapes the timescale of correlations in population spiking activity.

Authors:  Ashok Litwin-Kumar; Maurice J Chacron; Brent Doiron
Journal:  PLoS Comput Biol       Date:  2012-09-13       Impact factor: 4.475

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