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  Encoding and decoding of overlapping odor sequences

Broome, B. M., Jayaraman, V., & Laurent, G. (2006). Encoding and decoding of overlapping odor sequences. Neuron, 51(4), 467-82. doi:10.1016/j.neuron.2006.07.018.

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https://www.ncbi.nlm.nih.gov/pubmed/16908412 (beliebiger Volltext)
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 Urheber:
Broome, B. M., Autor
Jayaraman, V., Autor
Laurent, Gilles1, Autor           
Affiliations:
1Neural systems Department, Max Planck Institute for Brain Research, Max Planck Society, ou_2461701              

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Schlagwörter: Action Potentials/physiology Afferent Pathways/physiology Animals Discrimination, Psychological/physiology In Vitro Techniques Locusta migratoria Male Neural Inhibition/physiology Neurons, Afferent/*classification/*physiology *Odorants Reaction Time/physiology Sense Organs/*innervation Stimulation, Chemical Time Factors
 Zusammenfassung: Odors evoke complex responses in locust antennal lobe projection neurons (PNs)-the mitral cell analogs. These patterns evolve over hundreds of milliseconds and contain information about odor identity and concentration. In nature, animals often encounter many odorants in short temporal succession. We explored the effects of such conditions by presenting two different odors with variable intervening delays. PN ensemble representations tracked stimulus changes and, in some delay conditions, reached states that corresponded neither to the representation of either odor alone nor to the static mixture of the two. We then recorded from Kenyon cells (KCs), the PNs' targets. Their responses were consistent with the PN population's behavior: in some conditions, KCs were recruited that did not fire during single-odor or mixture stimuli. Thus, PN population dynamics are history dependent, and responses of individual KCs are consistent with piecewise temporal decoding of PN output over large sections of the PN population.

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 Datum: 2006-08-16
 Publikationsstatus: Erschienen
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 Identifikatoren: Anderer: 16908412
DOI: 10.1016/j.neuron.2006.07.018
ISSN: 0896-6273 (Print)0896-6273 (Linking)
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Titel: Neuron
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 51 (4) Artikelnummer: - Start- / Endseite: 467 - 82 Identifikator: -