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This article is part of the supplement: Sixteenth Annual Computational Neuroscience Meeting: CNS*2007

Open Access Poster presentation

Maintaining phase of the tri-phasic crab pyloric rhythm

Christina Mouser1*, Farzan Nadim2 and Amitabha Bose2

Author Affiliations

1 Department of Mathematical Sciences, Medgar Evers College of CUNY, Brooklyn, NY 11225, USA

2 Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, NJ 07102, USA

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BMC Neuroscience 2007, 8(Suppl 2):P97  doi:10.1186/1471-2202-8-S2-P97


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


Published:6 July 2007

© 2007 Mouser et al; licensee BioMed Central Ltd.

Introduction

Synaptic depression is a type of short-term plasticity that is observed in many rhythmically active networks [1]. We examine the role that synaptic depression plays in determining the phase of a group of neurons of the crab stomatogastric nervous system. We mathematically construct and analyze a model network consisting of an oscillator neuron that inhibits two follower neurons. We show that constant phase maintenance can be achieved solely through the interplay of the two follower neurons due to the depressive nature of their synaptic connectivity.

Model

The network we are studying is comprised of three neurons, AB, LP, and PY. AB is the pacemaker neuron of the pyloric network while LP and PY are the follower neurons. The activity of these neurons is modeled using Morris-Lecar type first order differential equations. LP and PY receive synaptic inputs from one another and from AB; see figure 1. The synapses are depressing and inhibitory meaning that the strength of the synapse weakens while the pre-synaptic neuron is active. The set of equations used to model this network is similar in form to that of [2].

thumbnailFigure 1. Crab pyloric network.

Results and conclusion

To understand the effect of the depressing synapses between LP and PY, we derived a set of equations that allows us to determine the time at which LP and PY enter their active states relative to when AB enters its active state. This then allowed us to determine which parameters most signifficantly contribute to the phase of LP, ΦLP, and the phase of PY, ΦPY. We found that reciprocal inhibition between LP and PY leads to better phase maintenance than when AB is the sole input to these neurons. This occurs because when the reciprocal inhibition is present, ΦLP and ΦPY are determined mostly by the synaptic properties rather than by their membrane kinetics. In addition, we found that when the input from the oscillator neuron AB is not depressing, the connectivity between LP and PY is in fact able to produce phase maintenance. The essential property necessary to produce this phase maintenance is for the synapses to increasingly recover from the synaptic depression as the period increases. However, phase maintenance is optimal when the synapse from AB is depressing. Furthermore, these analytic results can be compared to experimental data and can be used to make predications about the biological network in the absence of synaptic depression from the group pacemaker.

Acknowledgements

This work was supported in part by PSC-CUNY PSCREG-37-74, the National Science Foundation DMS-0315862 (CA), the National Science Foundation DMS-0615168 (AB) and the National Institutes of Health MH-60605 (FN).

References

  1. Marder E: From biophysics to models of network function.

    Annu Rev Neurosci 1998, 21:25-45. PubMed Abstract | Publisher Full Text OpenURL

  2. Manor Y, Bose A, Booth V, Nadim F: Contribution of synaptic depression to phase maintenance in a model rhythmic network.

    J Neurophysil 2003, 90:3513-3528. Publisher Full Text OpenURL