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  Short-term memory in olfactory network dynamics

Stopfer, M., & Laurent, G. (1999). Short-term memory in olfactory network dynamics. Nature, 402(6762), 664-8. doi:10.1038/45244.

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Genre: Zeitschriftenartikel

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https://www.ncbi.nlm.nih.gov/pubmed/10604472 (beliebiger Volltext)
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 Urheber:
Stopfer, M., Autor
Laurent, Gilles1, Autor           
Affiliations:
1Neural systems Department, Max Planck Institute for Brain Research, Max Planck Society, ou_2461701              

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Schlagwörter: Animals Female Grasshoppers Male *Memory, Short-Term Neurons/*physiology Odorants Olfactory Pathways/physiology Oscillometry Sense Organs Smell/*physiology
 Zusammenfassung: Neural assemblies in a number of animal species display self-organized, synchronized oscillations in response to sensory stimuli in a variety of brain areas. In the olfactory system of insects, odour-evoked oscillatory synchronization of antennal lobe projection neurons (PNs) is superimposed on slower and stimulus-specific temporal activity patterns. Hence, each odour activates a specific and dynamic projection neuron assembly whose evolution during a stimulus is locked to the oscillation clock. Here we examine, using locusts, the changes in population dynamics of projection-neuron assemblies over repeated odour stimulations, as would occur when an animal first encounters and then repeatedly samples an odour for identification or localization. We find that the responses of these assemblies rapidly decrease in intensity, while they show a marked increase in spike time precision and inter-neuronal oscillatory coherence. Once established, this enhanced precision in the representation endures for several minutes. This change is stimulus-specific, and depends on events within the antennal lobe circuits, independent of olfactory receptor adaptation: it may thus constitute a form of sensory memory. Our results suggest that this progressive change in olfactory network dynamics serves to converge, over repeated odour samplings, on a more precise and readily classifiable odour representation, using relational information contained across neural assemblies.

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 Datum: 1999-12-22
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: -
 Identifikatoren: Anderer: 10604472
DOI: 10.1038/45244
ISSN: 0028-0836 (Print)0028-0836 (Linking)
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Titel: Nature
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 402 (6762) Artikelnummer: - Start- / Endseite: 664 - 8 Identifikator: -