Evidence map›Paper›PMID 23324323›Full record

ArticleJournal of neurophysiology2013

Encoding of ultrasonic vocalizations in the auditory cortex.

Isaac M Carruthers, Ryan G Natan, Maria N Geffen

Open access · greenAbstract read
In one paragraph

Article in Journal of neurophysiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

44 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Individual-specific strategies inform category learning.bioRxiv : the preprint server for biology · 2025
    Article
  6. Developmental encoding of natural sounds in the mouse auditory cortex.Cerebral cortex (New York, N.Y. : 1991) · 2024
    Article
  7. Article
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  13. Review
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  15. Article
  16. Review
  17. Experience-Dependent Coding of Time-Dependent Frequency Trajectories by Off Responses in Secondary Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  18. 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

3 authors at 1 institution in 1 country.

Isaac M CarruthersDept. of Otorhinolaryngology and Head and Neck Surgery, Univ. of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
Ryan G Natan
Maria N Geffen
University of Pennsylvania · US

Funding

The role of cortical interneurons in auditory processing and learningR03DC013660 · NIDCD · UNIVERSITY OF PENNSYLVANIA · PI GEFFEN, MARIA NEIMARK · 2013 to 2015
$480k
NIDCD NIH HHS R03 DC013660
6 · The paper itself

Abstract

One of the central tasks of the mammalian auditory system is to represent information about acoustic communicative signals, such as vocalizations. However, the neuronal computations underlying vocalization encoding in the central auditory system are poorly understood. To learn how the rat auditory cortex encodes information about conspecific vocalizations, we presented a library of natural and temporally transformed ultrasonic vocalizations (USVs) to awake rats while recording neural activity in the primary auditory cortex (A1) with chronically implanted multielectrode probes. Many neurons reliably and selectively responded to USVs. The response strength to USVs correlated strongly with the response strength to frequency-modulated (FM) sweeps and the FM rate tuning index, suggesting that related mechanisms generate responses to USVs as to FM sweeps. The response strength further correlated with the neuron's best frequency, with the strongest responses produced by neurons whose best frequency was in the ultrasonic frequency range. For responses of each neuron to each stimulus group, we fitted a novel predictive model: a reduced generalized linear-nonlinear model (GLNM) that takes the frequency modulation and single-tone amplitude as the only two input parameters. The GLNM accurately predicted neuronal responses to previously unheard USVs, and its prediction accuracy was higher than that of an analogous spectrogram-based linear-nonlinear model. The response strength of neurons and the model prediction accuracy were higher for original, rather than temporally transformed, vocalizations. These results indicate that A1 processes original USVs differentially than transformed USVs, indicating preference for temporal statistics of the original vocalizations.

Indexed as

SoundVocalization, AnimalAnimalsAuditory CortexEvoked Potentials, AuditoryMaleModels, NeurologicalRatsRats, Long-EvansRats, Sprague-Dawley

Identifiers

PMID23324323
PMCPMC4073926
OpenAlexW2124974841

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.