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This article is part of the supplement: Twenty First Annual Computational Neuroscience Meeting: CNS*2012

Open Access Poster presentation

Phase-lag return mappings for a 3 cell multifunctional central pattern generator

Jeremy Wojcik12*, Robert Clewley12 and Andrey Shilnikov12

Author Affiliations

1 Department of Mathematics and Statistics, Georgia State University, Atlanta, GA 30033, USA

2 Neuroscience Institute, Georgia State University, Atlanta, GA 30033, USA

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BMC Neuroscience 2012, 13(Suppl 1):P188  doi:10.1186/1471-2202-13-S1-P188

The electronic version of this article is the complete one and can be found online at:

Published:16 July 2012

© 2012 Wojcik et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Poster presentation

We describe and expand on a novel computational approach to reduce detailed models of central pattern generation to equationless return mapping for the phase lags between the constituting bursting interneurons [1].

Such mappings are then studied geometrically as the model parameters, including coupling properties of inhibitory and excitatory synapses, or external inputs are varied. Bifurcations of the fixed points and invariant circles of the mappings corresponding to various types of rhythmic activity are examined. These changes uncover possible biophysical mechanisms for control and modulation of motor-pattern generation. Our analysis does not require knowledge of the equations that model the system, and so provides a powerful new approach to studying detailed models, applicable to a variety of biological phenomena beyond motor control.

Motifs of three coupled cells are a common network configuration including models of biological central pattern generators. We demonstrate our technique on a motif of three reciprocally coupled, inhibitory and excitatory, cells that is able to produce multiple patterns of bursting rhythms. In particular, we examine the qualitative geometric structure of two-dimensional maps for phase lag between the cells. This reveals the organizing centers of emergent polyrhythmic patterns and their bifurcations, as the asymmetry of the synaptic coupling is varied. The presence of multistability and the types of attractors in the network are shown to be determined by the duty cycle of bursting, as well as coupling interactions.

thumbnailFigure 1. (A). We defined phase-lags for a 3 cell CPG model on a 2D torus. (B) A “flattened” phase-lag mapping showing convergence to 5 distinct attractors. Each stable fixed point represents a rhythmic output of the CPG


We thank W. Kristan, A. Neiman, P. Ashwin, C. Laing, and R. Lin for valuable suggestions.We acknowledge support from NSF Grants CISE/CCF-0829742 (to R.C.), DMS-1009591, RFFI Grant No. 08-01-00083 (to A.S.) and “Grant opportunities for Russian scientists living abroad” Project No. 14.740.11.0919, and the GSU Brains & Behavior program.


  1. Wojcik J, Clewley R, Shilnikov A: Order parameter for bursting polyrhythms in multifunctional central pattern generators.

    Physics Review E 2011, 83:056209-6.

    DOI: 10.1103/PhysRevE.83.056209