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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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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-121F-A Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-1220-4
Genre: Journal Article

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 Creators:
Junek, Stephan, Author
Kludt, Eugen, Author
Wolf, Fred1, 2, Author              
Schild, Detlev, Author
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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 Abstract: 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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Language(s): eng - English
 Dates: 2010-09-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: eDoc: 528770
DOI: 10.1016/j.neuron.2010.08.005
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Title: Neuron
Source Genre: Journal
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Pages: - Volume / Issue: 67 Sequence Number: - Start / End Page: 872 - 884 Identifier: -