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Poster presentation | Open | Published:

Understanding olfactory information processing by combining a physiologically realistic model of the olfactory bulb and olfactory cortex

The hypothesis that olfactory recognition depends on a distributed associative memory function embedded in the olfactory cortex (OC) was proposed by Haberly and Bower [1]. Since then, a number of abstract OC models have been constructed based on this hypothesis [24]. In large part, the associative memory hypothesis was founded on the seemingly random and distributed pattern of both mitral cell afferents to the olfactory cortex, and associative pyramidal connections within the cortex itself [5, 6]. However, more recently an analysis of the oscillatory properties of a physiologically realistic model of the olfactory cortex has predicted that the olfactory cortex may contain distributed, but highly specific and separable sub-networks interacting with a similar sub-network structure in the olfactory bulb (OB) [7]. We will present the work of a new multi-laboratory collaboration (Steuber, University of Hertfordshire, Bower, University of Texas Health Science Center San Antonio; Metzner, University of Lübeck), built around linking realistic models of the olfactory bulb [8, 9] and cortex [7]. The olfactory bulb model is being extended to explore how neuronal modulation of ion channels as well as bulbar inhibitory effects could support a sub-net organization of output to the olfactory cortex, as well as how sub-net structure in the OB and OC contribute to recorded patterns of oscillatory behaviour [10]. If a sub-network structure exists in both the OB and OC, it will have important implications for the neuronal representation of olfactory stimulus space as well as the process of olfactory perception.

References

  1. 1.

    Haberly LB, Bower JM: Olfactory cortex: model circuit for study of associative memory?. Trends Neurosci. 1989, 12: 258-64.

  2. 2.

    Hasselmo ME, Anderson BP, Bower JM: Cholinergic modulation of cortical associative memory function. J Neurophysiol. 1992, 67: 1230-1246.

  3. 3.

    Kapur A, Lytton WW, Ketchum KL, Haberly LB: Regulation of the NMDA component of EPSPs by different components of postsynaptic GABAergic inhibition: computer simulation analysis in piriform cortex. J Neurophysiol. 1997, 78 (5): 2546-59.

  4. 4.

    Patil MM, Hasselmo ME: Modulation of inhibitory synaptic potentials in the piriform cortex. J. Neurophysiol. 1999, 81 (5): 2103-2118.

  5. 5.

    Haberly LB, Price JL: The axonal projection patterns of the mitral and tufted cells of the olfactory bulb in the rat. Brain Res. 1977, 129 (1): 152-157.

  6. 6.

    Scott JW, McBride RL, Schneider SP: The organisation of projections from the olfactory bulb to the piriform cortex and olfactory tubercle in the rat. J Comp Neurol. 1980, 194 (3): 519-534.

  7. 7.

    Vanier MC: Realistic computer modelling of the mammalian olfactory cortex. PhD thesis. 2001

  8. 8.

    O’Connor S: Modelling gap junction-coupled networks of olfactory bulb mitral cells. PhD thesis. 2010

  9. 9.

    O'Connor S, Angelo K, Jacob TJ: Burst firing versus synchrony in a gap junction connected olfactory bulb mitral cell network model. Front Comput Neurosci. 2012, 6: 75-

  10. 10.

    Ketchum KL, Haberly LB: Membrane currents evoked by afferent fiber stimulation in rat piriform cortex. II Analysis with a system model. J Neurophysiol. 1993, 69 (1): 261-281.

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Correspondence to Simon O’Connor.

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Keywords

  • Olfactory Bulb
  • Realistic Model
  • Associative Memory
  • Olfactory Stimulus
  • Mitral Cell