Literature DB >> 12824767

Detection of visual change: mismatch or rareness?

J Leon Kenemans1, Tineke Grent-'t Jong, Marinus N Verbaten.   

Abstract

How do we detect changes in our visual environment? By continuously comparing visual inputs to templates of experiences in the immediate past? Or by determining their rareness, how infrequently a visual event occurred previously? Recent results from event-related potentials have been interpreted in favour of the first hypothesis, as in the case of the auditory mismatch negativity. Here we demonstrate that rareness, rather than mismatch with a template, underlies visual change detection. Such rareness is detected through a dedicated mechanism in human visual cortex about 100 ms after the rare event occurs, reflected in the rareness-related negativity (RRN).

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Year:  2003        PMID: 12824767     DOI: 10.1097/00001756-200307010-00010

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  12 in total

1.  Is the auditory sensory memory sensitive to visual information?

Authors:  Julien Besle; Alexandra Fort; Marie-Hélène Giard
Journal:  Exp Brain Res       Date:  2005-07-23       Impact factor: 1.972

Review 2.  Influence of cognitive control and mismatch on the N2 component of the ERP: a review.

Authors:  Jonathan R Folstein; Cyma Van Petten
Journal:  Psychophysiology       Date:  2007-09-10       Impact factor: 4.016

Review 3.  Short-term plasticity as a neural mechanism supporting memory and attentional functions.

Authors:  Iiro P Jääskeläinen; Jyrki Ahveninen; Mark L Andermann; John W Belliveau; Tommi Raij; Mikko Sams
Journal:  Brain Res       Date:  2011-09-22       Impact factor: 3.252

4.  Visual mismatch negativity is unaffected by top-down prediction of the timing of deviant events.

Authors:  Motohiro Kimura
Journal:  Exp Brain Res       Date:  2018-02-27       Impact factor: 1.972

5.  Exploring the Role of Low Level Visual Processing in Letter-Speech Sound Integration: A Visual MMN Study.

Authors:  Dries Froyen; Nienke van Atteveldt; Leo Blomert
Journal:  Front Integr Neurosci       Date:  2010-04-13

6.  Rapid extraction of lexical tone phonology in Chinese characters: a visual mismatch negativity study.

Authors:  Xiao-Dong Wang; A-Ping Liu; Yin-Yuan Wu; Peng Wang
Journal:  PLoS One       Date:  2013-02-20       Impact factor: 3.240

7.  Visual mismatch negativity elicited by facial expressions: new evidence from the equiprobable paradigm.

Authors:  Xiying Li; Yongli Lu; Gang Sun; Lei Gao; Lun Zhao
Journal:  Behav Brain Funct       Date:  2012-02-02       Impact factor: 3.759

Review 8.  Visual mismatch negativity: a predictive coding view.

Authors:  Gábor Stefanics; Jan Kremláček; István Czigler
Journal:  Front Hum Neurosci       Date:  2014-09-16       Impact factor: 3.169

9.  Visual mismatch negativity to masked stimuli presented at very brief presentation rates.

Authors:  Maria Flynn; Alki Liasis; Mark Gardner; Tony Towell
Journal:  Exp Brain Res       Date:  2016-11-03       Impact factor: 1.972

10.  Task difficulty affects the predictive process indexed by visual mismatch negativity.

Authors:  Motohiro Kimura; Yuji Takeda
Journal:  Front Hum Neurosci       Date:  2013-06-12       Impact factor: 3.169

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