First Order Processing of Complex Olfactory Information in the Moth Brain
| Autor: | Shannon B. Olsson, Bill S. Hansson, Linda S. Kuebler |
|---|---|
| Jazyk: | angličtina |
| Předmět: |
Olfactory system
Computer science Signal odor processing network intracellular electrophysiological recording single cell Olfactory bulb medicine.anatomical_structure Odor medicine Biological neural network General Earth and Planetary Sciences Antennal lobe Neuron Percept Biological system General Environmental Science |
| Zdroj: | FET Procedia Computer Science |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2011.09.061 |
| Popis: | As part of a project to develop a novel class of technology for infochemical communication, we investigated olfactory processing in the insect brain to form the basis for a multicomponent detector system able to recover ratiometric odor information deployed in the world. By unraveling neuronal network processing, we support the generation of a tuned detector capable of deciphering chemical signals produced by a biosynthetic chemoemmitter. This chemoemitter/receiver complex establishes an entirely new communication system based on the chemical signaling of insects. Our main challenge is to reveal how complex odor information is encoded in the insect olfactory system. In insects, the initial percept of odors detected by the antenna occurs in the first olfactory center of the brain, the antennal lobe (AL), the insect analog of the mammalian olfactory bulb Afferent input is modified via interneuronal connections (LNs) and the resultant representation is carried by projection neurons (PNs, Output) to higher-order brain centers. Accordingly, the antennal lobe representation of an odor mixture may either retain the single-odor information of blend components, or reveal non-linear interactions due to processing in the AL network. The phenomenon of a non-linear response to a mixture that is not predictable from its component responses is called a “mixture interaction”. Combining intracellular electrophysiology, optical imaging, and 3-D morphological reconstruction, we report a highly combinatorial, non-linear process for coding complex host blends in moths that is presumably shaped by the AL network: Blend responses exhibited an array of interactions including suppression, hypoadditivity, and synergism that established a unique blend representation. Our results indicate that each neuron utilizes several different elements to produce the signal representing the entire blend, including the spatial location, rate, latency, and temporal pattern of the response. This suggests that a biomimetic system based on the moth brain can, with a minimum of detectors and processing power, decipher complex odor information on both temporal and spatial scales. |
| Databáze: | OpenAIRE |
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