Evidence map›Paper›PMID 26730727›Full record

ArticlePLoS computational biology2016

Neurally Encoding Time for Olfactory Navigation.

In Jun Park, Andrew M Hein, Yuriy V Bobkov, Matthew A Reidenbach, Barry W Ache, Jose C Principe

Erratum issuedAbstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Article
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  6. Neurons Underlying Aggression-Like Actions That Are Shared by Both Males and Females inThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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  13. Article
  14. Olfactory Sensing and Navigation in Turbulent Environments.Annual review of condensed matter physics · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. WalkingeLife · 2020
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

In Jun ParkDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, Florida, United States of America.
Andrew M HeinDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.
Yuriy V BobkovWhitney Laboratory for Marine Bioscience, University of Florida, St. Augustine, Florida, United States of America.
Matthew A ReidenbachDepartment of Environmental Sciences, University of Virginia, Charlottesville, Virginia, United States of America.
Barry W AcheWhitney Laboratory for Marine Bioscience, University of Florida, St. Augustine, Florida, United States of America.
Jose C PrincipeDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, Florida, United States of America.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Strategies for encoding odor informationR21DC011859 · NIDCD · UNIVERSITY OF FLORIDA · PI ACHE, BARRY W. · 2011 to 2012
$403k
NCATS NIH HHS UL1 TR001427NIDCD NIH HHS DC011859NIDCD NIH HHS R21 DC011859
6 · The paper itself

Abstract

Accurately encoding time is one of the fundamental challenges faced by the nervous system in mediating behavior. We recently reported that some animals have a specialized population of rhythmically active neurons in their olfactory organs with the potential to peripherally encode temporal information about odor encounters. If these neurons do indeed encode the timing of odor arrivals, it should be possible to demonstrate that this capacity has some functional significance. Here we show how this sensory input can profoundly influence an animal's ability to locate the source of odor cues in realistic turbulent environments-a common task faced by species that rely on olfactory cues for navigation. Using detailed data from a turbulent plume created in the laboratory, we reconstruct the spatiotemporal behavior of a real odor field. We use recurrence theory to show that information about position relative to the source of the odor plume is embedded in the timing between odor pulses. Then, using a parameterized computational model, we show how an animal can use populations of rhythmically active neurons to capture and encode this temporal information in real time, and use it to efficiently navigate to an odor source. Our results demonstrate that the capacity to accurately encode temporal information about sensory cues may be crucial for efficient olfactory navigation. More generally, our results suggest a mechanism for extracting and encoding temporal information from the sensory environment that could have broad utility for neural information processing.

Indexed as

Models, NeurologicalAnimalsAppetitive BehaviorComputational BiologyOdorantsOlfactory Receptor NeuronsSmell

Identifiers

PMID26730727
PMCPMC4711578

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.