Cited by 143Fish biology, ecology, and behaviorPlant and Biological Electrophysiology StudiesElectromagnetic Fields and Biological Effects

Modeling signal and background components of electrosensory scenes

Chen, Ling, House, Jonathan L., Krahe, R�diger, Nelson, Mark E.·2005·Journal of Comparative Physiology A

Abstract

Weakly electric fish are able to detect and localize prey based on microvolt-level perturbations in the fish's self-generated electric field. In natural environments, weak prey-related signals are embedded in much stronger electrosensory background noise. To better characterize the signal and background components associated with natural electrolocation tasks, we recorded transdermal voltage modulations in restrained Apteronotus albifrons in response to moving spheres, tail bends, and large nonconducting boundaries. Spherical objects give rise to ipsilateral images with center-surround structure and contralateral images that are weak and diffuse. Tail bends and laterally placed nonconducting boundaries induce relatively strong ipsilateral and contralateral modulations of opposite polarity. We present a computational model of electric field generation and electrosensory image formation that is able to reproduce the key features of these empirically measured signal and background components in a unified framework. The model comprises an array of point sources and sinks distributed along the midline of the fish, which can conform to arbitrary body bends. The model is computationally fast and can be used to estimate the spatiotemporal pattern of activation across the entire electroreceptor array of the fish during natural behaviors.

Integrity signals

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Crossref · 10.1007/s00359-004-0587-3

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49 of 49 references verified0 citation errors · 0 not checkable

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  • The framework captures the spatial geometry of the fish and objects, using the field model fitted to data in [34].

    “Our framework captures the spatial geometry of the fish and objects (Fig 3 A), using the field model fitted to data in [34].”

    From An end-to-end model of active electrosensation (2024) · cites this paper as [34]

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Authors
Chen, L., House, J. L., Krahe, R., & Nelson, M. E.
Affiliations
University of Illinois Urbana-Champaign (US)
Corresponding author
Nelson, Mark E.
Venue
Journal of Comparative Physiology A
Published
2004-12-17
Volume
191
Issue
4
Pages
331-345
ISSN
  • 0340-7594 (ISSN-L)
  • 1432-1351
OpenAlex
W1969494732
Cited by
142
References
49
Citations by year
2025: 5 · 2024: 11 · 2023: 5 · 2022: 4 · 2021: 4 · 2020: 5 · 2019: 6 · 2018: 4 · 2017: 3 · 2016: 5 · 2015: 9 · 2014: 10 · 2013: 18 · 2012: 13
FWCI
3.36
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Comparative Physiology A (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Science Foundation
  • National Institute of Mental Health (R01-MH49242, R01MH049242)
Topics
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish biology, ecology, and behavior
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant and Biological Electrophysiology Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Electromagnetic Fields and Biological Effects
Keywords
weakly electric fish, electrolocation, Apteronotus albifrons, prey detection, electric field generation, computational model
MeSH terms
Animals, Electric Organ, Electrophysiology, Field Dependence-Independence, Membrane Potentials, Models, Biological, Perception, Sensory Receptor Cells, Computational Biology, Gymnotiformes

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