analytical processing of binary mixture information by olfactory bulb glomeruli分析处理的二进制混合信息嗅球肾小球.pdfVIP
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analytical processing of binary mixture information by olfactory bulb glomeruli分析处理的二进制混合信息嗅球肾小球
Analytical Processing of Binary Mixture Information by
Olfactory Bulb Glomeruli
Max L. Fletcher*¤
Department of Neurobiology and Anatomy, University of Texas Medical School, Houston, Texas, United States of America
Abstract
Odors are rarely composed of a single compound, but rather contain a large and complex variety of chemical components.
Often, these mixtures are perceived as having unique qualities that can be quite different than the combination of their
components. In many cases, a majority of the components of a mixture cannot be individually identified. This synthetic
processing of odor information suggests that individual component representations of the mixture must interact somewhere
along the olfactory pathway. The anatomical nature of sensory neuron input into segregated glomeruli with the bulb suggests
that initial input of odor information into the bulb is analytic. However, a large network of interneurons within the olfactory
bulb could allow for mixture interactions via mechanisms such as lateral inhibition. Currently in mammals, it is unclear if
postsynaptic mitral/tufted cell glomerular mixture responses reflect the analytical mixture input, or provide the initial basis for
synthetic processing with the olfactory system. To address this, olfactory bulb glomerular binary mixture representations were
compared to representations of each component using transgenic mice expressing the calcium indicator G-CaMP2 in olfactory
bulb mitral/tufted cells. Overall, dorsal surface mixture representations showed little mixture interaction and often appeared as
a simple combination of the component representations. Based on this, it is concluded that dorsal surface glomerular mixture
representations remain largely analytical with nearly all component information preserved.
Citation: Fletcher ML (2011) Analytical Processing of Binary Mixture Informat
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