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In the honey bee antennal lobe, uniglomerular projection neurons (uPNs) transiently spike to odor sensory stimuli with odor-specific response latencies, i.e., delays to first spike after odor

stimulation onset. Recent calcium imaging studies show that the spatio-temporal response profile of

In the honey bee antennal lobe, uniglomerular projection neurons (uPNs) transiently spike to odor sensory stimuli with odor-specific response latencies, i.e., delays to first spike after odor

stimulation onset. Recent calcium imaging studies show that the spatio-temporal response profile of the activated uPNs are dynamic and changes as a result

of associative conditioning, facilitating odor-detection of learned odors.

Moreover, odor-representation in the antennal lobe undergo reward-mediated plasticity processes that increase response delay variations

in the activated ensemble of uniglomerular projection neurons. Octopamine is necessarily involved in these plasticity processes. Yet, the cellular mechanisms are not

well understood. I hypothesize that octopamine modulates cholinergic transmission to uPNs by triggering translation

and upregulation of nicotinic receptors, which are more permeable to calcium. Consequently, this increased calcium-influx signals transcription factors that upregulate potassium

channels in the dendritic cortex of glomeruli, similar to synaptic plasticity mechanisms recently

shown in various insect species. A biophysical model of the antennal lobe circuit is developed in order to test the hypothesis that increased potassium channel expression in uPNs mediate response delays to first

spike, dynamically tuning odor-representations to facilitate odor-detection of learned odors.
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    Title
    • Biophysical mechanism for neural spiking dynamics
    Contributors
    Date Created
    2016
    Resource Type
  • Text
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    • thesis
      Partial requirement for: Ph.D., Arizona State University, 2016
    • bibliography
      Includes bibliographical references (pages 41-48)
    • Field of study: Applied mathematics for the life and social sciences

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    by Adrian Nicholas Smith

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