Volume 11 Supplement 1

Nineteenth Annual Computational Neuroscience Meeting: CNS*2010

Open Access

Computational modeling of the external tufted cell of the mammalian olfactory bulb

  • William Erik Sherwood1Email author,
  • Joe Tien2,
  • Ryan Carey3 and
  • Nancy Kopell1
BMC Neuroscience201011(Suppl 1):P128

DOI: 10.1186/1471-2202-11-S1-P128

Published: 20 July 2010

The glomeruli of the mammalian olfactory bulb are the initial loci of synaptic processing in the olfactory system, and they contain at least three classes of juxtaglomerular (JG) interneurons whose roles in odor processing are not well understood. External tufted (ET) cells constitute one major class of excitatory JG interneurons, and recent experimental studies indicate that they may play a central role in coordinating intraglomerular activity [1]. Among their suggestive properties, ET cells have been found to burst endogenously at theta frequency, to entrain to patterned input at sniffing frequencies, and to synchronize via synaptic and gap junctional mechanisms [2, 3]. They also appear to be primary mediators of signal transmission between olfactory receptor neurons and mitral cells [4].

We present a single-compartment, Hodgkin-Huxley-style model of the ET cell which includes those identified membrane currents which are known to be essential for endogenous bursting: spiking sodium and potassium currents, a low-voltage activated T-type calcium current (ICaT), and a persistent sodium current (INaP) [5]. A model variant incorporating an H-type current was also constructed. Passive membrane properties were based on data from the literature, while the kinetics of active currents were obtained from voltage clamp data using the ‘full-trace’ method of the NEUROFIT software package [6]. The model neuron (versions implemented in PyDSTool [7] and MATLAB) is designed for use in larger scale computational models of the juxtaglomerular circuitry.

We explore the model’s parameter space using detailed parameter sweeps and Latin hypercube sampling, demarcating regions of bursting, tonic, and excitable behavior. To study the sensitivity of various functional characteristics to changes in parameter values, we employ specialized smooth optimization methods for bursting neural models [8]. We find that the half-activation voltages for ICaT and INaP are most critical for control of interburst period and duty cycle. We also investigate the phase response properties of the ET cell model and its responses to periodic input.

Declarations

Acknowledgements

We thank Michael T. Shipley and Shaolin Liu of the University of Maryland for generously sharing their ET cell voltage clamp data, and Allan Willms of the University of Guelph for assistance with NEUROFIT.

Authors’ Affiliations

(1)
Center for BioDynamics, Boston University
(2)
Mathematics Department, Ohio State University
(3)
Department of Biomedical Engineering, Boston University

References

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Copyright

© Sherwood et al; licensee BioMed Central Ltd. 2010

This article is published under license to BioMed Central Ltd.

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