Flow impairs multisensory tracking and increases active sensing in weakly electric fish

Weakly electric fish rely on electrosensory, visual, and mechanosensory (lateral-line) cues to guide behavior in flowing water, yet the effects of ambient currents on multisensory tracking and active sensing remain poorly understood. We tested the weakly electric knifefish Apteronotus albifrons (N=4) tracking a moving refuge in a recirculating flow tunnel while systematically varying flow speed (0-16 cm s-1), illumination (light vs. dark), and refuge structure (windowed vs. nonwindowed). Tracking performance was quantified with time- and frequency-domain measures (root-mean-square error; gain-phase analyses), and active sensing as movement power outside stimulus frequencies (mean active sensing power, MASP). Increasing flow degraded tracking: relative to still water, RMSE rose by ∼46% at 16 cm s-1. Deficits were largest in darkness and with the windowed refuge, and were concentrated at low stimulus frequencies. Under higher flows, fish showed a trend toward increased off-frequency movement power (by ∼33%), consistent with compensatory active sensing to sustain sensory acquisition. The effects were nonlinear and context dependent. This pattern indicates that increasing hydrodynamic noise may drive dynamic reweighting among visual, electrosensory, and mechanosensory inputs. Collectively, our data indicate that ambient flow degrades low-frequency tracking and may elicit compensatory active sensing in A. albifrons, extending recent demonstrations of context-dependent sensing and control switches in this species and bridging rheotaxis with electrosensory refuge tracking.

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Publication Details

Journal
Journal of Experimental Biology
Published
2025-11-21
DOI
https://doi.org/10.1242/jeb.251478
Citations
1
Primary Topic
Fish biology, ecology, and behavior
Type
article
Field-Weighted Citation Impact
2.31
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article

Flow impairs multisensory tracking and increases active sensing in weakly electric fish

Burcu Ünlütabak, İsmail Uyanık, Emin Yusuf Aydın
1 citations
Journal of Experimental Biology
Fish biology, ecology, and behavior
2.31
article

Flow impairs multisensory tracking and increases active sensing in weakly electric fish

Burcu Ünlütabak, İsmail Uyanık, Emin Yusuf Aydın
article en
1 citations

Abstract

Weakly electric fish rely on electrosensory, visual, and mechanosensory (lateral-line) cues to guide behavior in flowing water, yet the effects of ambient currents on multisensory tracking and active sensing remain poorly understood. We tested the weakly electric knifefish Apteronotus albifrons (N=4) tracking a moving refuge in a recirculating flow tunnel while systematically varying flow speed (0-16 cm s-1), illumination (light vs. dark), and refuge structure (windowed vs. nonwindowed). Tracking performance was quantified with time- and frequency-domain measures (root-mean-square error; gain-phase analyses), and active sensing as movement power outside stimulus frequencies (mean active sensing power, MASP). Increasing flow degraded tracking: relative to still water, RMSE rose by ∼46% at 16 cm s-1. Deficits were largest in darkness and with the windowed refuge, and were concentrated at low stimulus frequencies. Under higher flows, fish showed a trend toward increased off-frequency movement power (by ∼33%), consistent with compensatory active sensing to sustain sensory acquisition. The effects were nonlinear and context dependent. This pattern indicates that increasing hydrodynamic noise may drive dynamic reweighting among visual, electrosensory, and mechanosensory inputs. Collectively, our data indicate that ambient flow degrades low-frequency tracking and may elicit compensatory active sensing in A. albifrons, extending recent demonstrations of context-dependent sensing and control switches in this species and bridging rheotaxis with electrosensory refuge tracking.

Journal of Experimental BiologyVol. 229(1)
Yeditepe University (TR), American University of Sharjah (AE), Hacettepe University (TR)
Openalex Percentile: Top 9%
Fish biology, ecology, and behavior
2.31
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