Visual Mismatch Negativity and Categorization

Czigler, István

doi:10.1007/s10548-013-0316-8

Cited by 59 publications

(45 citation statements)

References 45 publications

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“…Importantly, the features defining the contents of automatic expectations can be not only simple physical, but more abstract properties too, even socially relevant signals such as facial emotions. Thus, mechanisms underlying the vMMN are able to support flexible categorization processes (Czigler, 2013). The relationship between visual mismatch and behavior is discussed in Section The link between vMMN, veridical perception, and behavior.…”

Section: Introduction—what Is Visual Mmn and What Is It Good For?mentioning

confidence: 99%

“…Automatic sensory discrimination reflected by auditory MMN is also associated with psychosocial functioning in healthy adults (Light et al, 2007) and has been suggested to serve as a gateway to higher order cognitive operations (Rissling et al, 2013). Similarly in the visual domain, vMMN has been argued to show automatic categorization processes based on fairly complex stimulus representation (Czigler, 2013). …”

Section: Introduction—what Is Visual Mmn and What Is It Good For?mentioning

confidence: 99%

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Visual mismatch negativity: a predictive coding view

Stefanics

Kremláček

Czigler

2014

Front. Hum. Neurosci.

281

300

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An increasing number of studies investigate the visual mismatch negativity (vMMN) or use the vMMN as a tool to probe various aspects of human cognition. This paper reviews the theoretical underpinnings of vMMN in the light of methodological considerations and provides recommendations for measuring and interpreting the vMMN. The following key issues are discussed from the experimentalist's point of view in a predictive coding framework: (1) experimental protocols and procedures to control “refractoriness” effects; (2) methods to control attention; (3) vMMN and veridical perception.

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Section: Introduction—what Is Visual Mmn and What Is It Good For?mentioning

confidence: 99%

Section: Introduction—what Is Visual Mmn and What Is It Good For?mentioning

confidence: 99%

Visual mismatch negativity: a predictive coding view

Stefanics

Kremláček

Czigler

2014

Front. Hum. Neurosci.

281

300

View full text Add to dashboard Cite

show abstract

“…() reporting a negative vMMR in adults in response to visual speech stimuli. Most studies on the vMMR report negativities across different representational levels and contents, such as, for example, emotional faces and motion‐direction deviations in adult participants (for a review, see Czigler, ). However, there are very few studies of children's vMMRs.…”

Section: Discussionmentioning

confidence: 97%

Facial speech gestures: the relation between visual speech processing, phonological awareness, and developmental dyslexia in 10‐year‐olds

Schaadt

Männel

Meer

et al. 2015

Developmental Science

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Successful communication in everyday life crucially involves the processing of auditory and visual components of speech. Viewing our interlocutor and processing visual components of speech facilitates speech processing by triggering auditory processing. Auditory phoneme processing, analyzed by event-related brain potentials (ERP), has been shown to be associated with impairments in reading and spelling (i.e. developmental dyslexia), but visual aspects of phoneme processing have not been investigated in individuals with such deficits. The present study analyzed the passive visual Mismatch Response (vMMR) in school children with and without developmental dyslexia in response to video-recorded mouth movements pronouncing syllables silently. Our results reveal that both groups of children showed processing of visual speech stimuli, but with different scalp distribution. Children without developmental dyslexia showed a vMMR with typical posterior distribution. In contrast, children with developmental dyslexia showed a vMMR with anterior distribution, which was even more pronounced in children with severe phonological deficits and very low spelling abilities. As anterior scalp distributions are typically reported for auditory speech processing, the anterior vMMR of children with developmental dyslexia might suggest an attempt to anticipate potentially upcoming auditory speech information in order to support phonological processing, which has been shown to be deficient in children with developmental dyslexia.

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“…Taking into account some prominent empirical results of neuroscientific research into categorisation mechanisms (e.g., Goldstone 2000;Cohen and Lefebvre 2005;Bargh and Morsella 2008;Smith 2008;Seger and Miller 2010;Ashby and Maddox 2010;Nosofsky et al 2012;Huth et al 2012;Czigler 2013;Barsalou 2012;Barsalou 2013), there is substantial evidence that human brains have multiple category-learning systems that are functionally distinct at both cognitive and neural levels. However, although distinct types of category-learning and category-retention (perceptual vs. conceptual, declarative vs. procedural, implicit vs. explicit, rule-, examplar-, or prototype-based, etc.)…”

Section: Domains and Scale Value Identificationmentioning

confidence: 99%

Synaesthesia quotient: operationalising an individual index of phenotypic expressivity of developmental synaesthesia

Sidoroff-Dorso

2014

THS

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Abstract. The primary purpose of our current study is to develop a novel selfadministered or/and interviewer-assisted instrument rating an individual degree of phenotypic expressivity of synaesthesia. A measurement index of such a degree is conceptualised as Synaesthesia Quotient (SynQ). This article will detail the initial stage of the scale development; i.e., conceptualisation, domains identification, item generation, and identification of rating values of the proposed scale. Ten preliminary domains are determined and related items are generated on the basis of empirical data from synaesthesia literature review, extant measures, and external neuroscientific results. Further work is underway to perform judgment-based item expansion (or reduction) informed by expert opinion and to assess the validity and reliability of the Synaesthesia Quotient inventory (SynQ-i). This paper is also intended to solicit postpublication feedback and generate specialist discussion.

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Visual Mismatch Negativity and Categorization

Cited by 59 publications

References 45 publications

Visual mismatch negativity: a predictive coding view

Visual mismatch negativity: a predictive coding view

Facial speech gestures: the relation between visual speech processing, phonological awareness, and developmental dyslexia in 10‐year‐olds

Synaesthesia quotient: operationalising an individual index of phenotypic expressivity of developmental synaesthesia

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