Evidence map›Paper›PMID 24910620›Full record

ReviewFrontiers in physiology2014

Time computations in anuran auditory systems.

Gary J Rose

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
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

19 citing papers in PubMed, 44 citations in OpenAlex.

  1. How auditory neurons count temporal intervals and decode information.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. Nature and nurture in fruit fly hearing.Frontiers in neural circuits · 2024
    Review
  3. Article
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  9. Review
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  12. GABAergic Local Interneurons Shape Female Fruit Fly Response to Mating Songs.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  13. The numerical abilities of anurans and their neural correlates: insights from neuroethological studies of acoustic communication.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  14. Phasic, suprathreshold excitation and sustained inhibition underlie neuronal selectivity for short-duration sounds.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  15. Species specificity of temporal processing in the auditory midbrain of gray treefrogs: long-interval neurons.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2016
    Article
  16. Species-specificity of temporal processing in the auditory midbrain of gray treefrogs: interval-counting neurons.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2015
    Article
  17. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Gary J RoseDepartment of Biology, University of Utah Salt Lake City, UT, USA.
University of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Temporal computations are important in the acoustic communication of anurans. In many cases, calls between closely related species are nearly identical spectrally but differ markedly in temporal structure. Depending on the species, calls can differ in pulse duration, shape and/or rate (i.e., amplitude modulation), direction and rate of frequency modulation, and overall call duration. Also, behavioral studies have shown that anurans are able to discriminate between calls that differ in temporal structure. In the peripheral auditory system, temporal information is coded primarily in the spatiotemporal patterns of activity of auditory-nerve fibers. However, major transformations in the representation of temporal information occur in the central auditory system. In this review I summarize recent advances in understanding how temporal information is represented in the anuran midbrain, with particular emphasis on mechanisms that underlie selectivity for pulse duration and pulse rate (i.e., intervals between onsets of successive pulses). Two types of neurons have been identified that show selectivity for pulse rate: long-interval cells respond well to slow pulse rates but fail to spike or respond phasically to fast pulse rates; conversely, interval-counting neurons respond to intermediate or fast pulse rates, but only after a threshold number of pulses, presented at optimal intervals, have occurred. Duration-selectivity is manifest as short-pass, band-pass or long-pass tuning. Whole-cell patch recordings, in vivo, suggest that excitation and inhibition are integrated in diverse ways to generate temporal selectivity. In many cases, activity-related enhancement or depression of excitatory or inhibitory processes appear to contribute to selective responses.

Indexed as

acoustic communicationinferior colliculusiontophoresismidbraintemporal processingtime codingtransformationswhole-cell patch

Identifiers

PMID24910620
PMCPMC4038921
OpenAlexW2144115790

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.