ReviewTrends in hearing
The Neuronal Basis of Predictive Coding Along the Auditory Pathway: From the Subcortical Roots to Cortical Deviance Detection.
Review in Trends in hearing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 1 of them a synthesis that pooled it.
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Who cites it
111 citing papers in PubMed, 1 synthesis or guideline pooled it, 238 citations in OpenAlex.
- The Caffeinated Brain Part 1: The Effects of Caffeine on Event-Related Potentials (ERPs)-A Systematic and Mechanistic Review.Nutrients · 2026Pooled it
- Exploratory evidence for differences in GABAergic regulation of auditory processing in autism spectrum disorder.Translational psychiatry · 2023Trial
- Improved Auditory Function Caused by Music Versus Foreign Language Training at School Age: Is There a Difference?Cerebral cortex (New York, N.Y. : 1991) · 2021Trial
- An event-related potentials account of brain predictive coding.Cognitive neurodynamics · 2026Review
- Emergence of Deviance Detection in Cortical Cultures Through Maturation, Criticality, and Early Experience.The European journal of neuroscience · 2026Article
- Mismatch negativity matures in adolescence and without sensitivity to microglial depletion.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Strong connections of locally clustered neurons in the upper-layer cortex underlie schizophrenia-related auditory deviance detection.Science advances · 2026Article
- Behavioral engagement and stimulus regularities coordinate auditory-prefrontal network activity.PLoS biology · 2026Article
- Deviance detection via competitive inhibition between local neocortical ensembles.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Stimulus statistical context sensitivity of deviant responses to auditory intensity changes.Scientific reports · 2026Article
- Dopamine in the Nucleus Accumbens Signals Salience of Auditory Deviance.The European journal of neuroscience · 2026Article
- Insights into effortful adaptation during speech perception: The role of dopamine, norepinephrine, and prediction error.Cognitive, affective & behavioral neuroscience · 2026Review
- Neuronal mechanisms underlying binaural performance with cochlear implant in single-sided deafness: a [European journal of nuclear medicine and molecular imaging · 2026Article
- Computational Modelling of Novelty Detection in the Mismatch Negativity Protocols and Its Impairments in Schizophrenia.The European journal of neuroscience · 2026Article
- Sex- and etiology-specific effects on predictive processing in the inferior colliculus of two rat models of autism.Communications biology · 2026Article
- Dataset of Oddball Paradigm experiment in the Auditory Cortex and the effect of acetylcholine.Scientific data · 2026Article
- Global context rapidly shapes sensory responses in V1.bioRxiv : the preprint server for biology · 2026Article
- Measuring the Genuine Mismatch Negativity in the Auditory Multi-Feature Paradigm.The European journal of neuroscience · 2026Article
- Neuronal mismatch responses to auditory stimuli in the dorsal hippocampus of anesthetized rats.Communications biology · 2025Article
- Neurophysiology of mismatch negativity generation: a biophysical modeling study.bioRxiv : the preprint server for biology · 2025Article
51 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this review, we attempt to integrate the empirical evidence regarding stimulus-specific adaptation (SSA) and mismatch negativity (MMN) under a predictive coding perspective (also known as Bayesian or hierarchical-inference model). We propose a renewed methodology for SSA study, which enables a further decomposition of deviance detection into repetition suppression and prediction error, thanks to the use of two controls previously introduced in MMN research: the many-standards and the cascade sequences. Focusing on data obtained with cellular recordings, we explain how deviance detection and prediction error are generated throughout hierarchical levels of processing, following two vectors of increasing computational complexity and abstraction along the auditory neuraxis: from subcortical toward cortical stations and from lemniscal toward nonlemniscal divisions. Then, we delve into the particular characteristics and contributions of subcortical and cortical structures to this generative mechanism of hierarchical inference, analyzing what is known about the role of neuromodulation and local microcircuitry in the emergence of mismatch signals. Finally, we describe how SSA and MMN are occurring at similar time frame and cortical locations, and both are affected by the manipulation of N-methyl- D-aspartate receptors. We conclude that there is enough empirical evidence to consider SSA and MMN, respectively, as the microscopic and macroscopic manifestations of the same physiological mechanism of deviance detection in the auditory cortex. Hence, the development of a common theoretical framework for SSA and MMN is all the more recommendable for future studies. In this regard, we suggest a shared nomenclature based on the predictive coding interpretation of deviance detection.
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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.