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A stochastic locomotor control model for the goldfish (Carassius auratus)

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Summary

The locomotor pattern of a goldfish may be described by 17 locomotor variables whose time series are known to exhibit distinct patterns of autocorrelation. The present model reduces the set of 17 variables to a set of seven predictor variables which optimize the prediction of future locomotor behavior. These seven variables are then grouped into two clusters by a dendogram analysis, and it is shown that the clusters are also characterized by their strength of prediction. A locomotor control model is then formulated where one cluster is interpreted to be a level of activity factor and the other is hypothesized to be a turning behavior factor.

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Authors and Affiliations

  1. Institute of Statistics, Texas A & M University, 77843, College Station, Texas, USA

    J. H. Matis & D. R. Childers

  2. Department of Biology, Texas A & M University, 77843, College Station, Texas, USA

    H. Kleerekoper

Authors
  1. J. H. Matis
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  2. D. R. Childers
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  3. H. Kleerekoper
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Matis, J.H., Childers, D.R. & Kleerekoper, H. A stochastic locomotor control model for the goldfish (Carassius auratus). Acta Biotheor 23, 45–54 (1974). https://doi.org/10.1007/BF01614683

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  • DOI: https://doi.org/10.1007/BF01614683

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