Stimulus predictability mediates a switch in locomotor smooth pursuit performance for Eigenmannia virescens

Eatai Roth, Katie Zhuang, Sarah A. Stamper, Eric S. Fortune, Noah J. Cowan

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

The weakly electric glass knifefish, Eigenmannia virescens, will swim forward and backward, using propulsion from an anal ribbon fin, in response to motion of a computer-controlled moving refuge. Fish were recorded performing a refuge-tracking behavior for sinusoidal (predictable) and sum-of-sines (pseudo-random) refuge trajectories. For all trials, we observed high coherence between refuge and fish trajectories, suggesting linearity of the tracking dynamics. But superposition failed: We observed categorical differences in tracking between the predictable single-sine stimuli and the unpredictable sum-of-sines stimuli. This nonlinearity suggests a stimulus-mediated adaptation. At all frequencies tested, fish demonstrated reduced tracking error when tracking single-sine trajectories and this was typically accompanied by a reduction in overall movement. Most notably, fish demonstrated reduced phase lag when tracking single-sine trajectories. These data support the hypothesis that fish generate an internal dynamical model of the stimulus motion, hence improving tracking of predictable trajectories (relative to unpredictable ones) despite similar or reduced motor cost. Similar predictive mechanisms based on the dynamics of stimulus movement have been proposed recently, but almost exclusively for nonlocomotor tasks by humans, such as oculomotor target tracking and posture control. These data suggest that such mechanisms might be common across taxa and behaviors.

Original languageEnglish (US)
Pages (from-to)1170-1180
Number of pages11
JournalJournal of Experimental Biology
Volume214
Issue number7
DOIs
StatePublished - Apr 2011
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Physiology
  • Aquatic Science
  • Animal Science and Zoology
  • Molecular Biology
  • Insect Science

Keywords

  • Eigenmannia virescens
  • Neural control
  • Prediction
  • Smooth pursuit
  • System modeling
  • Weakly electric fish

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