Evidence map›Paper›PMID 33147138›Full record

ArticleeLife2020

Rapid computations of spectrotemporal prediction error support perception of degraded speech.

Ediz Sohoglu, Matthew H Davis

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
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  4. Active inference and speech motor control.Psychonomic bulletin & review · 2026
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  19. A hierarchy of linguistic predictions during natural language comprehension.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  20. Differential Auditory and Visual Phase-Locking Are Observed during Audio-Visual Benefit and Silent Lip-Reading for Speech Perception.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
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

2 authors at 2 institutions in 1 country.

Ediz SohogluSchool of Psychology, University of Sussex, Brighton, United Kingdom.ORCID 0000-0002-0755-6445
Matthew H DavisMRC Cognition and Brain Sciences Unit, Cambridge, United Kingdom.ORCID 0000-0003-2239-0778
MRC Cognition and Brain Sciences Unit · GBUniversity of Sussex · GB

Funding

Medical Research Council MC_UU_00005/5Medical Research Council SUAG/044 G101400
6 · The paper itself

Abstract

Human speech perception can be described as Bayesian perceptual inference but how are these Bayesian computations instantiated neurally? We used magnetoencephalographic recordings of brain responses to degraded spoken words and experimentally manipulated signal quality and prior knowledge. We first demonstrate that spectrotemporal modulations in speech are more strongly represented in neural responses than alternative speech representations (e.g. spectrogram or articulatory features). Critically, we found an interaction between speech signal quality and expectations from prior written text on the quality of neural representations; increased signal quality enhanced neural representations of speech that mismatched with prior expectations, but led to greater suppression of speech that matched prior expectations. This interaction is a unique neural signature of prediction error computations and is apparent in neural responses within 100 ms of speech input. Our findings contribute to the detailed specification of a computational model of speech perception based on predictive coding frameworks.

Indexed as

MagnetoencephalographySpeech PerceptionAdolescentAdultBayes TheoremBrainComputer SimulationFemaleHumansLinear ModelsMaleNeuronsRegression AnalysisSpeechSpeech DisordersYoung AdulthumanMEGneurosciencepredictive codingspectrotemporal modulationsspeech perception

Identifiers

PMID33147138
PMCPMC7641582
OpenAlexW3095159483

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.