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. (shrink)

In an approach to quantify the locomotor response to environmental stimuli in fishes and its central control mechanisms, initially stochastic models of spontaneous locomotor behavior are being formulated. In the present paper, the locomotor patterns of three active nurse shark,Ginglymostoma cirratum, in six experiments are converted into 17 locomotor variables and found to have definite time series structure. Sixty-seven of the 102 first order serial correlation coefficients are statistically significant, the incidence rate of which differs between experiments and between locomotor (...) variables. The percent residual variation about an autoregressive equation is transformed by a Fisher's z statistic and the means are found to differ significantly among experiments and among variables. The experiment by variable interaction is very low implying a consistency in the ranks of the variables despite the wide differences in their absolute levels over the experiments. This suggests the existence of a relatively rigid albeit occasionally latent locomotor control mechanism in the central nervous system. (shrink)