Abstract | ||
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Microcircuits in the olfactory bulb have long received particular attention from both experimentalists and theoreticians, due in part to an abundance of dendrodendritic interactions and other specialized modifications to the canonical cortical circuit architecture. Recent experimental and theoretical results have elucidated the mechanisms and function of these circuits and their presumed contributions to olfactory stimulus processing and odor perception. We here review the architecture and functionality of a prominent olfactory bulb microcircuit: the glomerular network. |
Year | DOI | Venue |
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2009 | 10.1016/j.neunet.2009.07.013 | Neural Networks |
Keywords | Field | DocType |
Olfaction,Computational modeling,Glomerulus,Decorrelation,Normalization | Olfactory stimulus,Olfactory bulb,Olfaction,Neuroscience,Olfactory system,Odor,Artificial intelligence,Circuit architecture,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
22 | 8 | 0893-6080 |
Citations | PageRank | References |
4 | 0.53 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Christiane Linster | 1 | 66 | 30.43 |
Thomas A. Cleland | 2 | 38 | 6.56 |