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

A stochastic locomotor control model for the goldfish (Carassius auratus) 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Biotheoretica Springer Journals

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

Matis, J.; Childers, D.; Kleerekoper, H.
Acta Biotheoretica , Volume 23 (2) – Apr 19, 2005
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References (10)

Publisher
Springer Journals
Copyright
Copyright
Subject
Philosophy; Philosophy of Biology; Evolutionary Biology
ISSN
0001-5342
eISSN
1572-8358
DOI
10.1007/BF01614683
Publisher site
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Abstract

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.

Journal

Acta Biotheoretica – Springer Journals

Published: Apr 19, 2005

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