ERPs and deviance detection: Visual mismatch negativity to repeated visual stimuli

Czigler, István; Weisz, Júlia; Winkler, István

doi:10.1016/j.neulet.2006.03.018

Cited by 88 publications

(71 citation statements)

References 24 publications

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“…Refs. [11,13,14]), large colour differences resulted in significant effects in a very similar TW to those found in the red context (i.e., 120-160 ms). This study was, however, able to find ERP differences not only for a large colour difference (red context) but also for a smaller colour difference (blue context).…”

Section: Discussionmentioning

confidence: 68%

Neural correlates of colour categories

Fonteneau

Davidoff

2007

NeuroReport

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This study used an electrophysiological marker of visual detection to investigate adults' processing of colour di¡erence. Event-related potentials were collected from the identical colour (green: G 0 ) presented as the frequent or infrequent stimulus within di¡erent colour contexts. Critically, we compared di¡erences within the same colour category (G 0 vs. green: G 1 ) to di¡erences between colour categories (G 0 vs. blue and G 0 vs. red). All di¡erences showed a change-related positivity with similar scalp distribution. It was, however, not simply the magnitude of colour di¡erence that reduced the latencies of the change-related positivity. A change in colour category without a magnitude di¡erence also reduced latency of the event-related potential. Thus, for the ¢rst time we report an independent neural correlate of a colour category.

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Section: Discussionmentioning

confidence: 68%

Neural correlates of colour categories

Fonteneau

Davidoff

2007

NeuroReport

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“…In addition, the visual N1 difference problem does not become critical under the use of more complex, non-oddball stimulus sequences where individual stimuli are usually presented with equal probability (Czigler et al, 2006a;Kimura et al, 2011a;Stefanics et al, 2011; the details of stimulus sequences will be shown in Section 2.2).…”

Section: Introductionmentioning

confidence: 99%

Visual mismatch negativity and unintentional temporal-context-based prediction in vision

Kimura¹

2012

International Journal of Psychophysiology

122

140

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“…Following this approach, it has already been shown that the visual system is able to automatically detect infrequent sequential changes in a series of consecutive, otherwise regular displays (e.g. Czigler et al, 2004Czigler et al, , 2006Kimura et al, 2009;Pazo-Alvarez et al, 2003;Tales et al, 1999). Moreover, visual change detection leads to similar distraction effects as in audition, when infrequent regularity violations are presented while participants perform a task.…”

Section: Introductionmentioning

confidence: 99%