The DOI matches its Crossref record; 537 of the 537 references it cites were found in a registry or an index.
Mismatch negativity (MMN), the deviance-elicited auditory deflection, explained
Abstract
The current review constitutes the first comprehensive look at the possibility that the mismatch negativity (MMN, the deflection of the auditory ERP/ERF elicited by stimulus change) might be generated by so-called fresh-afferent neuronal activity. This possibility has been repeatedly ruled out for the past 30 years, with the prevailing theoretical accounts relying on a memory-based explanation instead. We propose that the MMN is, in essence, a latency- and amplitude-modulated expression of the auditory N1 response, generated by fresh-afferent activity of cortical neurons that are under nonuniform levels of adaptation.
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“As for the multi-standard control results, these arise from the cortical columns being interconnected rather than acting as isolated frequency channels.”
From The Adaptation Model Offers a Challenge for the Predictive Coding Account of Mismatch Negativity (2021) · cites this paper as May and Tiitinen, 2010
In the citing paper
“In addition, the omission response could be enhanced or even caused by high-pass filtering acting on the sudden, omission-related drop in the sustained activity which is elicited by fast-rate stimulation (May and Tiitinen, 2010).”
From The Adaptation Model Offers a Challenge for the Predictive Coding Account of Mismatch Negativity (2021) · cites this paper as May and Tiitinen, 2010
In the citing paper
“In the adaptation hypothesis, as neuronal responses to standard stimuli decline after repetitive presentation of standard stimuli (11), MMN is thought to represent the difference between intact neural responses to deviant stimuli and attenuated neural responses to standard stimuli.”
From A Predictive Coding Perspective on Mismatch Negativity Impairment in Schizophrenia (2020) · cites this paper as [10]
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Cites
Hämäläinen, M., Hari, R., Ilmoniemi, R. J., Knuutila, J., & Lounasmaa, O. V. (1993) · Reviews of Modern Physics · doi:10.1103/revmodphys.65.413 · Cited by 4,684
Friston, K. J., Harrison, L., & Penny, W. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00202-7 · Cited by 4,583
A theory of cortical responses.
Friston, K. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1622 · Cited by 4,578
Broadbent, D. E. (1958) · doi:10.1037/10037-000 · Cited by 4,337
The Synaptic Organization of the Brain
(2004) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195159561.001.1 · Cited by 3,574
Bregman, A. S. (1990) · The MIT Press eBooks · doi:10.7551/mitpress/1486.001.0001 · Cited by 3,417
Näätänen, R., & Picton, T. (1987) · Psychophysiology · doi:10.1111/j.1469-8986.1987.tb00311.x · Cited by 3,321
The discovery of processing stages: Extensions of Donders' method
Sternberg, S. (1969) · Acta Psychologica · doi:10.1016/0001-6918(69)90055-9 · Cited by 3,137
Interneurons of the neocortical inhibitory system
Markram, H., Toledo-Rodriguez, M., Wang, Y., Gupta, A., Silberberg, G., & Wu, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1519 · Cited by 2,954
Early selective-attention effect on evoked potential reinterpreted
Näätänen, R., Gaillard, A. W. K., & Mäntysalo, S. (1978) · Acta Psychologica · doi:10.1016/0001-6918(78)90006-9 · Cited by 2,725
Research works printed but not linked: 10
- Antinoro, 1968, The effects of frequency on the auditory evoked response, Journal of Auditory Research, 8, 119
- Atkinson, 1968, The psychology of learning & motivation: Advances in research & theory, 89
- Maldonado, 1996, Reorganization in the auditory cortex of the rat induced by intracortical microstimulation, Experimental Brain Research, 112, 420
- Marr, 1984, Vision
- May, 2002, Proceedings of the 13th International Conference on Biomagnetism, Biomag2002, 709
- Näätänen, 1984, Human action and personality. Essays in honour of Martti Takala, 22
- Neisser, 1967, Cognitive psychology
- Schröger, 1997, Higher-order processes in auditory-change detection, Trends in Cognitive Sciences, 2, 45
- Sokolov, 1960, The central nervous system and behaviour, 187
- Winkler, I. (1993). Mismatch negativity: An event-related brain potential measure of auditory sensory memory traces. Doctor of Philosophy thesis. Department of Psychology, University of Helsinki.
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Todorovic, A., & de Lange, F. P. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2227-12.2012 · Cited by 326
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Mismatch negativity (MMN) as a tool for translational investigations into early psychosis: A review
Tada, M., Kirihara, K., Mizutani, S., Uka, T., Kunii, N., Koshiyama, D., Fujioka, M., Usui, K., Nagai, T., Araki, T., et al. (2019) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2019.02.009 · Cited by 74
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Reduced Auditory Mismatch Negativity Reflects Impaired Deviance Detection in Schizophrenia
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The Adaptation Model Offers a Challenge for the Predictive Coding Account of Mismatch Negativity
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Self-citationDoes the mismatch negativity operate on a consciously accessible memory trace?
Dykstra, A. R., & Gutschalk, A. (2015) · Science Advances · doi:10.1126/sciadv.1500677 · Cited by 42
“If the P1 deviance effect we observed is related to stimulus-specific adaptation (SSA), as has been observed in other contexts (41, 42) and proposed for MMN (43, 44), then such SSA might be highly contextdependent—even at early stages of cortical processing—possibly as a result of perceptually gated tuning-curve sharp…”
ResultMay, P. J. C., Westö, J., & Tiitinen, H. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.12820 · Cited by 36
Self-citationElectrophysiological correlates of perceptual prediction error are attenuated in dyslexia
Beach, S. D., Lim, S.-J., Cardenas-Iniguez, C., Eddy, M. D., Gabrieli, J. D. E., & Perrachione, T. K. (2022) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.108091 · Cited by 19
May, P. J. C., & Tiitinen, H. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00152 · Cited by 14
Self-citationKim, B., Shin, J., Kim, Y., & Choi, J. H. (2020) · PLOS ONE · doi:10.1371/journal.pone.0230277 · Cited by 11
Rethinking Predictive Processing
Furutachi, S., & Hofer, S. B. (2026) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-102124-031410 · Cited by 3
Metadata
- Authors
- May, P. J. C., & Tiitinen, H.
- Affiliations
- Aalto University (FI)
- Corresponding author
- May, Patrick J. C.
- ORCID
- May, Patrick J. C.
- Venue
- Psychophysiology
- Publisher
- Wiley
- Published
- 2010-01
- Volume
- 47
- Issue
- 1
- Pages
- 66-122
- ISSN
- 0048-5772 (ISSN-L)
- 1469-8986
- OpenAlex
- W2119845553
- Cited by
- 549
- References
- 537
- Citations by year
- 2026: 29 · 2025: 27 · 2024: 19 · 2023: 27 · 2022: 33 · 2021: 23 · 2020: 42 · 2019: 35 · 2018: 24 · 2017: 30 · 2016: 29 · 2015: 42 · 2014: 45 · 2013: 53 · 2012: 29
- FWCI
- 14.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychophysiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Life Sciences › Neuroscience › Sensory Systems › Hearing, Cochlea, Tinnitus, Genetics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- mismatch negativity, auditory event-related potentials, deviance, sensory adaptation, memory-based models, cortical neurons
- MeSH terms
- Acoustic Stimulation, Adaptation, Psychological, Affect, Auditory Cortex, Auditory Perception, Auditory Threshold, Electroencephalography, Evoked Potentials, Auditory, Humans, Memory, Neuronal Plasticity
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