Evidence map›Paper›PMID 33097665›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Simple transformations capture auditory input to cortex.

Monzilur Rahman, Ben D B Willmore, Andrew J King, Nicol S Harper

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 42 citations in OpenAlex.

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  8. Dissociable Roles of the Auditory Midbrain and Cortex in Processing the Statistical Features of Natural Sound Textures.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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  16. A comparative study of eight human auditory models of monaural processing.Acta acustica. European Acoustics Association · 2022
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  18. The Elusive Cochlear Filter: Wave Origin of Cochlear Cross-Frequency Masking.Journal of the Association for Research in Otolaryngology : JARO · 2021
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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

4 authors at 1 institution in 1 country.

Monzilur RahmanDepartment of Physiology, Anatomy and Genetics, University of Oxford, OX1 3PT Oxford, United Kingdom monzilur.rahman@dpag.ox.ac.uk nicol.harper@dpag.ox.ac.uk.ORCID 0000-0002-0057-5248
Ben D B WillmoreDepartment of Physiology, Anatomy and Genetics, University of Oxford, OX1 3PT Oxford, United Kingdom.ORCID 0000-0002-2969-7572
Andrew J KingDepartment of Physiology, Anatomy and Genetics, University of Oxford, OX1 3PT Oxford, United Kingdom.ORCID 0000-0001-5180-7179
Nicol S HarperDepartment of Physiology, Anatomy and Genetics, University of Oxford, OX1 3PT Oxford, United Kingdom monzilur.rahman@dpag.ox.ac.uk nicol.harper@dpag.ox.ac.uk.ORCID 0000-0002-7851-4840
University of Oxford · GB

Funding

Wellcome TrustWellcome Trust WT108369/Z/2015/Z
6 · The paper itself

Abstract

Sounds are processed by the ear and central auditory pathway. These processing steps are biologically complex, and many aspects of the transformation from sound waveforms to cortical response remain unclear. To understand this transformation, we combined models of the auditory periphery with various encoding models to predict auditory cortical responses to natural sounds. The cochlear models ranged from detailed biophysical simulations of the cochlea and auditory nerve to simple spectrogram-like approximations of the information processing in these structures. For three different stimulus sets, we tested the capacity of these models to predict the time course of single-unit neural responses recorded in ferret primary auditory cortex. We found that simple models based on a log-spaced spectrogram with approximately logarithmic compression perform similarly to the best-performing biophysically detailed models of the auditory periphery, and more consistently well over diverse natural and synthetic sounds. Furthermore, we demonstrated that including approximations of the three categories of auditory nerve fiber in these simple models can substantially improve prediction, particularly when combined with a network encoding model. Our findings imply that the properties of the auditory periphery and central pathway may together result in a simpler than expected functional transformation from ear to cortex. Thus, much of the detailed biological complexity seen in the auditory periphery does not appear to be important for understanding the cortical representation of sound.

Indexed as

SoundAcoustic StimulationAnimalsAuditory CortexAuditory PathwaysAuditory PerceptionCochleaCochlear NerveFerretsHumansModels, NeurologicalNeuronsSpeechauditory cortexencoding models of neural responsesMarr’s levels of analysismodels of the auditory peripherypredicting responses to natural sounds

Identifiers

PMID33097665
PMCPMC7668077
OpenAlexW3090629579

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.