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Olfactory Computation in Insects

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Advances in Dynamics, Patterns, Cognition

Part of the book series: Nonlinear Systems and Complexity ((NSCH,volume 20))

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Abstract

The olfactory system maps complex and high dimensional stimuli (odors) into unique and reproducible dynamic ensembles of neuronal activity. In the insect, olfactory receptor neurons (ORNs) synapse onto a smaller group of excitatory projection neurons (PNs) and inhibitory local neurons (LNs) in the antennal lobe (AL). The odor information is then transferred to the mushroom body (MB), a structure analogous to the olfactory cortex and where olfactory memories are formed. Inhibitory circuits of the AL and the MB shape the odor representation as it progresses through the olfactory system. The insect system is advantageous for studying and modeling olfactory coding because it is relatively simple and amenable to genetic manipulation.

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Acknowledgements

The work is supported by NIH (R01 DC012943) to M. Bazhenov and M. Stopfer, and an intramural grant from NIH-NICHD to M. Stopfer.

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Correspondence to M. Komarov .

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Komarov, M., Stopfer, M., Bazhenov, M. (2017). Olfactory Computation in Insects. In: Aranson, I., Pikovsky, A., Rulkov, N., Tsimring, L. (eds) Advances in Dynamics, Patterns, Cognition. Nonlinear Systems and Complexity, vol 20. Springer, Cham. https://doi.org/10.1007/978-3-319-53673-6_13

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  • DOI: https://doi.org/10.1007/978-3-319-53673-6_13

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