Odor processing and associative olfactory learning in the moth Manduca sexta.

Neural representations of odors get associated with other stimuli through experience. Are action potentials the neural representation that directly gets associated with reinforcement during conditioning? In Manduca , I found that odor presentations elicited only one or two spikes at odor onset (and sometimes offset) in each of a small portion of Kenyon cells, a population of neurons known to be crucial for olfactory associative learning. By using a series of odor-taste associative conditioning paradigms with various sucrose presentation timings, I carefully controlled the temporal overlap between Kenyon cell spiking and sucrose reinforcement timing. I found that in paradigms that led to learning, spiking in Kenyon cells ended well before the reinforcement was given. Further, increasing the temporal overlap between Kenyon cell spiking and sucrose reinforcement actually reduced learning efficacy. Therefore, spikes in Kenyon cells are not the neural representation that gets directly reinforced, and Hebbian spike timing--dependent plasticity in Kenyon cells alone cannot underlie this learning.
Two important focuses in neuroscience are to study how animals process sensory stimuli, and how such stimuli get associated with other sensory modalities through experience. Often, sensory stimuli elicit the oscillatory synchronization of neurons in different parts of the brain, and thus may constitute an important stage in sensory processing. Odor-evoked oscillatory synchronization has been observed in a wide variety of animals, including mammals and insects. Despite differences in details of anatomical structure, animals from widely different phyla appear to use similar strategies to encode odors. Here, using the moth Manduca sexta, I examined the factors that cause odor-evoked oscillatory synchronization of olfactory neurons and that determine the frequency of these oscillations. I found that frequency of oscillations decreased from ∼40 Hz to ∼20 Hz during the course of a lengthy odor pulse. This decrease in oscillatory frequency appeared in parallel with a decrease in net olfactory receptor output, suggesting that the intensity of olfactory receptor neuron input to the antennal lobe, the first olfactory relay center, may determine oscillatory frequency. However, I found that changing odor concentration had little effect on oscillatory frequency. Combining the results of recordings made in vivo and computational models, I found that increasing odor concentration recruited additional, but less well-tuned olfactory receptor neurons to respond to the odor. Firing rates of these neurons were tightly constrained by adaptation and saturation. My work established that, in the periphery, odor concentration is mainly encoded by the size of the olfactory receptor neuron population that responded to the odor, whereas oscillatory frequency is determined by the adaptation and saturation of this response.
Ong, Chik Ying Rose.
Advisers: Siu Kai Kong; Mark Stopfer.
Source: Dissertation Abstracts International, Volume: 72-04, Section: B, page: .
Thesis (Ph.D.)--Chinese University of Hong Kong, 2010.
Includes bibliographical references (leaves 132-147).
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
also in Chinese.
isbn: 9781124494203
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