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Resolution of interaural time differences in the avian sound localization circuit—a modeling study

Overview of attention for article published in Frontiers in Computational Neuroscience, August 2014
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Title
Resolution of interaural time differences in the avian sound localization circuit—a modeling study
Published in
Frontiers in Computational Neuroscience, August 2014
DOI 10.3389/fncom.2014.00099
Pubmed ID
Authors

Brian J. Fischer, Armin H. Seidl

Abstract

Interaural time differences (ITDs) are a main cue for sound localization and sound segregation. A dominant model to study ITD detection is the sound localization circuitry in the avian auditory brainstem. Neurons in nucleus laminaris (NL) receive auditory information from both ears via the avian cochlear nucleus magnocellularis (NM) and compare the relative timing of these inputs. Timing of these inputs is crucial, as ITDs in the microsecond range must be discriminated and encoded. We modeled ITD sensitivity of single NL neurons based on previously published data and determined the minimum resolvable ITD for neurons in NL. The minimum resolvable ITD is too large to allow for discrimination by single NL neurons of naturally occurring ITDs for very low frequencies. For high frequency NL neurons (>1 kHz) our calculated ITD resolutions fall well within the natural range of ITDs and approach values of below 10 μs. We show that different parts of the ITD tuning function offer different resolution in ITD coding, suggesting that information derived from both parts may be used for downstream processing. A place code may be used for sound location at frequencies above 500 Hz, but our data suggest the slope of the ITD tuning curve ought to be used for ITD discrimination by single NL neurons at the lowest frequencies. Our results provide an important measure of the necessary temporal window of binaural inputs for future studies on the mechanisms and development of neuronal computation of temporally precise information in this important system. In particular, our data establish the temporal precision needed for conduction time regulation along NM axons.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 12%
Unknown 29 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 27%
Student > Doctoral Student 5 15%
Researcher 5 15%
Other 4 12%
Student > Master 3 9%
Other 4 12%
Unknown 3 9%
Readers by discipline Count As %
Neuroscience 14 42%
Agricultural and Biological Sciences 8 24%
Physics and Astronomy 2 6%
Computer Science 2 6%
Engineering 2 6%
Other 1 3%
Unknown 4 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 September 2014.
All research outputs
#20,236,620
of 22,763,032 outputs
Outputs from Frontiers in Computational Neuroscience
#1,157
of 1,339 outputs
Outputs of similar age
#198,129
of 236,359 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#24
of 26 outputs
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