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Mismatch Negativity-The Measure for Central Sound Representation Accuracy
Abstract
The mismatch negativity (MMN), elicited by any discriminable change in a repetitive sound even when this sound is not attended to, provides a pre-perceptual physiological measure of the accuracy of the central sound representation in the human brain. This accuracy, which can be measured separately for the different features of the sound, determines the individual's sound discrimination accuracy in normal and various pathological conditions.
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Citations
Cited by
The mismatch negativity (MMN) in basic research of central auditory processing: A review
Näätänen, R., Paavilainen, P., Rinne, T., & Alho, K. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.04.026 · Cited by 2,644
Self-citationInfluence of cognitive control and mismatch on the N2 component of the ERP: A review
Folstein, J. R., & Van Petten, C. (2008) · Psychophysiology · doi:10.1111/j.1469-8986.2007.00602.x · Cited by 2,567
The mismatch negativity (MMN): towards the optimal paradigm
Näätänen, R., Pakarinen, S., Rinne, T., & Takegata, R. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2003.04.001 · Cited by 721
Self-citationMMN in the visual modality: a review
Pazo-Alvarez, P., Cadaveira, F., & Amenedo, E. (2003) · Biological Psychology · doi:10.1016/s0301-0511(03)00049-8 · Cited by 306
Mismatch Negativity in Chronic Schizophrenia and First-Episode Schizophrenia
Salisbury, D. F., Shenton, M. E., Griggs, C. B., Bonner-Jackson, A., & McCarley, R. W. (2002) · Archives of General Psychiatry · doi:10.1001/archpsyc.59.8.686 · Cited by 284
Metadata
- Authors
- Näätänen, R., & Alho, K.
- Venue
- Audiology and Neurotology
- Publisher
- S. Karger AG
- Published
- 1997
- Volume
- 2
- Issue
- 5
- Pages
- 341-353
- ISSN
- 1420-3030 (ISSN-L)
- 1421-9700
- OpenAlex
- W2048288516
- Cited by
- 276
- References
- 0
- FWCI
- 4.25
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.