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This article is part of the supplement: Twentieth Annual Computational Neuroscience Meeting: CNS*2011

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Effects of synaptic and intrinsic parameters in shaping dynamic responses to olfactory input: a combined computational-experimental study of two glomerular microcircuits

William Erik Sherwood1*, Ryan Carey2 and Matt Wachowiak3

Author Affiliations

1 Center for BioDynamics, Boston University, Boston, MA 02215, USA

2 Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA

3 Department of Physiology and Brain Institute, University of Utah, Salt Lake City, UT 04108, USA

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BMC Neuroscience 2011, 12(Suppl 1):P365  doi:10.1186/1471-2202-12-S1-P365

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

Published:18 July 2011

© 2011 Sherwood 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

Initial synaptic processing of odors occurs in the mammalian olfactory bulb (OB): temporally dynamic odorant-evoked inputs are first processed at the olfactory receptor neuron (ORN) level, and similarly dynamic, patterned output is transmitted from the mitral cell (MC) layer to olfactory cortex. Prior work has shown that bursts of odor-evoked ORN activity exhibit odor-specific and glomerulus-specific durations, rise times, latencies, and amplitudes [1]. Similarly diverse patterning is seen in MC activity, which is temporally organized around the respiratory cycle and changes qualitatively during odor sampling. The temporal spread of sensory input following a single inhalation (~100-300 ms) is comparable to the range of discrimination times for different olfactory tasks [2,3], consistent with these dynamics being important in shaping odor perception.

Situated between the ORN input and MC output layers, the neuronal circuitry of the glomerular layer acts to consolidate and modulate OB output. Thousands of juxtaglomerular neurons from three distinct classes form the neuronal network within a glomerulus; several synaptic and gap junctional microcircuits have been identified in the intraglomerular network [4]. What transformation(s) of ORN input into MC output might the intraglomerular circuitry perform? We investigate temporal dynamics in computational models of two intraglomerular microcircuits: the classical ORN-MC circuit and a variant circuit that incorporates between the ORN and MC an external tufted (ET) cell capable of endogenous bursting [5]. These neurons are represented with single-compartment, Hodgkin-Huxley-style models [6,7]. Circuit inputs are calcium signals recorded from the presynaptic terminals of ORNs of head-fixed rats exposed to odorants using a ‘sniff playback’ mechanism [8,9]. These calcium signals are converted to excitatory synaptic inputs with temporal signatures closely matching that of inputs to the real neurons. The response dynamics of the circuits’ MC output are strongly shaped by the input signal. We explore how the circuits’ dynamics vary for different odorants, synaptic strengths, and degrees of synaptic adaptation, and we compare the two circuits’ dynamics as parameters controlling intrinsic properties of the ET and MC cells are varied.


  1. Spors H, Wachowiak M, Cohen LB, Friedrich RW: Temporal Dynamics and Latency Patterns of Receptor Neuron Input to the Olfactory Bulb.

    J. Neurosci 2006, 26:1247-1249. PubMed Abstract | Publisher Full Text OpenURL

  2. Abraham NM, Spors H, Carleton A, Margrie TW, Kuner T, Schaefer AT: Maintaining accuracy at the expense of speed: stimulus similarity defines odor discrimination time in mice.

    Neuron 2004, 44:865-876. PubMed Abstract | Publisher Full Text OpenURL

  3. Wesson DW, Donahou TN, Johnson MO, Wachowiak M: Sniffing behavior of mice during performance in odor-guided tasks.

    Chemical Senses 2008, 33:581-596. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  4. Wachowiak M, Shipley MT: Coding and synaptic processing of sensory information in the glomerular layer of the olfactory bulb.

    Seminars in Cell Dev. Bio 2006, 17:411-428. Publisher Full Text OpenURL

  5. De Saint Jan D, Hirnet D, Westbrook GL, Chupak S: External Tufted Cells Drive the Output of Olfactory Bulb Glomeruli.

    J. Neurosci 2009, 29(7):2043-2052. PubMed Abstract | Publisher Full Text OpenURL

  6. Bathellier B, Lagier S, Faure P, Lledo PM: Circuit properties generating gamma oscillations in a network model of the olfactory bulb.

    J. Neurophysiol 2006, 92:2678-2691. OpenURL

  7. Sherwood WE, Tien JH, Carey RM, Kopell N: Computational modeling of the external tufted cell of the mammalian olfactory bulb.

    BMC Neurosci 2010, 11(Suppl 1):P128. BioMed Central Full Text OpenURL

  8. Cheung MC, Carey RM, Wachowiak M: A method for generating natural and user-defined sniffing patterns in anesthetized or reduced preparations.

    Chemical Senses 2009, 34:63-76. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  9. Carey RM, Verhagen JV, Wesson DW, Wachowiak M: Temporal Structure of Receptor Neuron Input to the Olfactory Bulb Imaged in Behaving Rats.

    J. Neurophysiol 2009, 101:1073-1088. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL