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  Olfactory Coding with Patterns of Response Latencies

Junek, S., Kludt, E., Wolf, F., & Schild, D. (2010). Olfactory Coding with Patterns of Response Latencies. Neuron, 67, 872-884. doi:10.1016/j.neuron.2010.08.005.

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 Urheber:
Junek, Stephan, Autor
Kludt, Eugen, Autor
Wolf, Fred1, 2, Autor           
Schild, Detlev, Autor
Affiliations:
1Research Group Theoretical Neurophysics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063289              
2Department of Nonlinear Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063286              

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 Zusammenfassung: The encoding of odors by spatiotemporal patterns of mitral/tufted (M/T) cells in the vertebrate olfactory bulb has been discussed controversially. Motivated by temporal constraints from behavioral studies, we investigated the information contained in odorevoked first-spike latencies. Using simultaneous recordings of dozens of M/T cells with a high temporal resolution and quantitative ensemble correlation techniques, we show that latency patterns, and in particular latency rank patterns, are highly odor specific and reproducible. They reliably predict the odor identity as well as the odor concentration on a single-trial basis and on short timescales—in fact, more reliably than patterns of firing rates. Furthermore, we show that latency ranks exhibit a better reproducibility at the level of M/T cells than in olfactory receptor neurons. Our results suggest that the latency patterns of M/T cells contain all the information higher brain centers need to identify odors and their concentrations.

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Sprache(n): eng - English
 Datum: 2010-09-09
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: eDoc: 528770
DOI: 10.1016/j.neuron.2010.08.005
 Art des Abschluß: -

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Titel: Neuron
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 67 Artikelnummer: - Start- / Endseite: 872 - 884 Identifikator: -