Visual Mismatch Negativity (vMMN) a Prediction Error Signal in the Visual Modality
Current theories of visual change detection emphasize the importance of conscious attention to detect unexpected changes in the visual environment. However, an increasing body of studies shows that the human brain is capable of detecting even small visual changes, especially if such changes violate...
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| פורמט: | Online |
| שפה: | אנגלית |
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Frontiers Media SA
2021
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| גישה מקוונת: | 18169 |
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| _version_ | 1869526085015699456 |
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| author | Istvan Czigler Gabor Stefanics Piia Astikainen |
| author_browse | Gabor Stefanics Istvan Czigler Piia Astikainen |
| author_facet | Istvan Czigler Gabor Stefanics Piia Astikainen |
| author_sort | Istvan Czigler |
| collection | Directory of Open Access Books |
| description | Current theories of visual change detection emphasize the importance of conscious attention to detect unexpected changes in the visual environment. However, an increasing body of studies shows that the human brain is capable of detecting even small visual changes, especially if such changes violate non-conscious probabilistic expectations based on repeating experiences. In other words, our brain automatically represents statistical regularities of our visual environmental. Since the discovery of the auditory mismatch negativity (MMN) event-related potential (ERP) component, the majority of research in the field has focused on auditory deviance detection. Such automatic change detection mechanisms operate in the visual modality too, as indicated by the visual mismatch negativity (vMMN) brain potential to rare changes. VMMN is typically elicited by stimuli with infrequent (deviant) features embedded in a stream of frequent (standard) stimuli, outside the focus of attention. In this research topic we aim to present vMMN as a prediction error signal. Predictive coding theories account for phenomena such as mismatch negativity and repetition suppression, and place them in a broader context of a general theory of cortical responses. A wide range of vMMN studies has been presented in this Research Topic. Twelve articles address roughly four general sub-themes including attention, language, face processing, and psychiatric disorders. Additionally, four articles focused on particular subjects such as the oblique effect, object formation, and development and time-frequency analysis of vMMN. Furthermore, a review paper presented vMMN in a hierarchical predictive coding framework. Each paper in this Research Topic is a valuable contribution to the field of automatic visual change detection and deepens our understanding of the short term plasticity underlying predictive processes of visual perceptual learning. |
| format | Online |
| id | doab-20.500.12854ir-62287 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-622872024-04-05T17:31:10Z Visual Mismatch Negativity (vMMN) a Prediction Error Signal in the Visual Modality Istvan Czigler Gabor Stefanics Piia Astikainen RC321-571 Q1-390 Perceptual Learning Bayesian Brain predictive coding repetition suppression refractoriness Prediction error Attention visual mismatch negativity stimulus specific adaptation vMMN thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Current theories of visual change detection emphasize the importance of conscious attention to detect unexpected changes in the visual environment. However, an increasing body of studies shows that the human brain is capable of detecting even small visual changes, especially if such changes violate non-conscious probabilistic expectations based on repeating experiences. In other words, our brain automatically represents statistical regularities of our visual environmental. Since the discovery of the auditory mismatch negativity (MMN) event-related potential (ERP) component, the majority of research in the field has focused on auditory deviance detection. Such automatic change detection mechanisms operate in the visual modality too, as indicated by the visual mismatch negativity (vMMN) brain potential to rare changes. VMMN is typically elicited by stimuli with infrequent (deviant) features embedded in a stream of frequent (standard) stimuli, outside the focus of attention. In this research topic we aim to present vMMN as a prediction error signal. Predictive coding theories account for phenomena such as mismatch negativity and repetition suppression, and place them in a broader context of a general theory of cortical responses. A wide range of vMMN studies has been presented in this Research Topic. Twelve articles address roughly four general sub-themes including attention, language, face processing, and psychiatric disorders. Additionally, four articles focused on particular subjects such as the oblique effect, object formation, and development and time-frequency analysis of vMMN. Furthermore, a review paper presented vMMN in a hierarchical predictive coding framework. Each paper in this Research Topic is a valuable contribution to the field of automatic visual change detection and deepens our understanding of the short term plasticity underlying predictive processes of visual perceptual learning. 2021-02-12T07:59:06Z 2021-02-12T07:59:06Z 2016-01-19 14:05:46 2015 book 18169 16648714 9782889195602 https://directory.doabooks.org/handle/20.500.12854/62287 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Visual_Mismatch_Negativity_(vMMN)_a_Prediction_Error_Signal_in_the_Visual_Modality/565#nogo http://journal.frontiersin.org/researchtopic/990/visual-mismatch-negativity-vmmn-a-prediction-error-signal-in-the-visual-modality Frontiers Media SA 10.3389/978-2-88919-560-2 10.3389/978-2-88919-560-2 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889195602 202 open access |
| spellingShingle | RC321-571 Q1-390 Perceptual Learning Bayesian Brain predictive coding repetition suppression refractoriness Prediction error Attention visual mismatch negativity stimulus specific adaptation vMMN thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Istvan Czigler Gabor Stefanics Piia Astikainen Visual Mismatch Negativity (vMMN) a Prediction Error Signal in the Visual Modality |
| title | Visual Mismatch Negativity (vMMN) a Prediction Error Signal in the Visual Modality |
| title_full | Visual Mismatch Negativity (vMMN) a Prediction Error Signal in the Visual Modality |
| title_fullStr | Visual Mismatch Negativity (vMMN) a Prediction Error Signal in the Visual Modality |
| title_full_unstemmed | Visual Mismatch Negativity (vMMN) a Prediction Error Signal in the Visual Modality |
| title_short | Visual Mismatch Negativity (vMMN) a Prediction Error Signal in the Visual Modality |
| title_sort | visual mismatch negativity vmmn a prediction error signal in the visual modality |
| topic | RC321-571 Q1-390 Perceptual Learning Bayesian Brain predictive coding repetition suppression refractoriness Prediction error Attention visual mismatch negativity stimulus specific adaptation vMMN thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | RC321-571 Q1-390 Perceptual Learning Bayesian Brain predictive coding repetition suppression refractoriness Prediction error Attention visual mismatch negativity stimulus specific adaptation vMMN thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | 18169 |
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