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Computational Intelligence and Neuroscience
Volume 2012, Article ID 173910, 10 pages
Research Article

Emergent Central Pattern Generator Behavior in Gap-Junction-Coupled Hodgkin-Huxley Style Neuron Model

1Program in Neuroscience, Stony Brook Universty, SUNY, Stony Brook, NY 11794-5230, USA
2Department of Physiology and Biophysics, Stony Brook Universty, SUNY, Stony Brook, NY 11794-8661, USA
3Department of Computer Science, Stony Brook Universty, SUNY, Stony Brook, NY 11794-4440, USA

Received 19 April 2012; Revised 23 October 2012; Accepted 30 October 2012

Academic Editor: Daoqiang Zhang

Copyright © 2012 Kyle G. Horn et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Most models of central pattern generators (CPGs) involve two distinct nuclei mutually inhibiting one another via synapses. Here, we present a single-nucleus model of biologically realistic Hodgkin-Huxley neurons with random gap junction coupling. Despite no explicit division of neurons into two groups, we observe a spontaneous division of neurons into two distinct firing groups. In addition, we also demonstrate this phenomenon in a simplified version of the model, highlighting the importance of afterhyperpolarization currents ( ) to CPGs utilizing gap junction coupling. The properties of these CPGs also appear sensitive to gap junction conductance, probability of gap junction coupling between cells, topology of gap junction coupling, and, to a lesser extent, input current into our simulated nucleus.