Interpreting the Mismatch Negativity
By István Winkler. 2007
562 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Signal Processing
View Paper: https://www.semanticscholar.org/paper/9547ad4f2bf9550308c5b7a236ab6c53ee31aa33
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Karl J. Friston
- Klaas E. Stephan
- Torsten Baldeweg
- Stefan J. Kiebel
- Stanislas Dehaene
- James M. Kilner
- Marta Isabel Garrido
- Jean-Pierre Changeux
In Signal Processing
- Stefan J. Kiebel
- Klaas E. Stephan
- James M. Kilner
- Karl J. Friston
- Marta Isabel Garrido
- Torsten Baldeweg
- Carles Escera
- María-José Corral
Citations in the corpus
- Role of Mismatch Negativity and Novelty-P3 in Involuntary Auditory Attention (2007, background): “Rather, the attention capture mechanism involved in these experiments is that related to the dynamic modeling of regularity in audition, associated to MMN generation (Bendixen et al., 2007; Schröger et al., 2007; Winkler, 2007), suggesting that P3a elicitation and its association to behavioral distr”
- Probing Attentive and Preattentive Emergent Meter in Adult Listeners without Extensive Music Training (2009, background): “The current interpretation of MMN generation suggests that this ERP component is elicited in response to deviations from expected sounds (Baldeweg, 2007; Winkler, 2007).”
- ERP Repetition Effects and Mismatch Negativity Generation A Predictive Coding Perspective (2007, background): “…(1996) and that of primitive sensory intelligence (Näätänen, Tervaniemi, Sussman, Paavilainen, & Winkler, 2001) where MMN reflects the deviation from a preattentive extrapolation of invariant trends in the sound stream and the corresponding adjustments to this model (see also Winkler, 2007).”
- Interplay between acoustic/phonetic and semantic processes during spoken sentence comprehension: an ERP study. (2011, unknown): “As to the MMN, it has been proposed that this early automatic response results from a comparison between the auditory input encoded in the auditory cortex with a memory trace embodied in top-down predictions generated in prefrontal regions (Garrido et al., 2009; Winkler, 2007).”
- A Neuronal Model of Predictive Coding Accounting for the Mismatch Negativity (2012, background): “The auditory system would acquire an internal model of regularities in auditory inputs, including abstract ones, that are used to generate weighted predictions about the incoming stimuli (Paavilainen et al., 1999; Näätänen et al., 2005; Winkler, 2007).”
- The functional anatomy of the MMN: A DCM study of the roving paradigm (2008, methodology): “We show that both model-learning and adaptation contribute to the MMN, consistent with predictive-coding or model based explanations (Friston et al 2006, Winkler 2007).”
- Prediction, Cognition and the Brain (2009, background): “As indicated by research related to the auditory mismatch negativity event-related component, predictions generated by representations of rules could also be formulated within a sensory, in this case auditory, system itself (Schröger, 2007; Winkler, 2007).”
- Unified Coding of Spectral and Temporal Phonetic Cues: Electrophysiological Evidence for Abstract Phonological Features (2021, background): “The MMN is argued to be based on predictive neurophysiological models, where sensory cues and abstract information combine to produce predictions about upcoming sounds (Winkler, 2007).”