Biological Cybernetics

, Volume 93, Issue 3, pp 178–187 | Cite as

Integrating behavioral and neural data in a model of zebrafish network interaction



The spinal neural networks of larval zebrafish (Danio rerio) generate a variety of movements such as escape, struggling, and swimming. Various mechanisms at the neural and network levels have been proposed to account for switches between these behaviors. However, there are currently no detailed demonstrations of such mechanisms. This makes determining which mechanisms are plausible extremely difficult. In this paper, we propose a detailed biologically plausible model of the interactions between the swimming and escape networks in the larval zebrafish, while taking into account anatomical and physiological evidence. We show that the results of our neural model generate the expected behavior when used to control a hydrodynamic model of carangiform locomotion. As a result, the model presented here is a clear demonstration of a plausible mechanism by which these distinct behaviors can be controlled. Interestingly, the networks are anatomically overlapping, despite clear differences in behavioral function and physiology.


CPGs Zebrafish CiD interneuron MCoD interneuron Network interaction Motor co-ordination Escape behavior 


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Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  1. 1.Department of Computer ScienceMemorial University of NewfoundlandSt. John’sCanada
  2. 2.Department of Systems Design Engineering, Department of PhilosophyUniversity of WaterlooWaterlooCanada

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