Tracking the mismatch information in visual short term memory: An event-related potential study

Yin, Jun; Gao, Zaifeng; Jin, Xinyi; Ye, Lvlv; Shen, Mowei; Shui, Rende

doi:10.1016/j.neulet.2011.01.001

Cited by 28 publications

(30 citation statements)

References 31 publications

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“…This manipulation is different from most previous studies in which only one irrelevant feature changed in an IC condition (T. Z. Gao et al, 2010;Yin et al, 2011;Yin, Zhou et al, 2012). We argue that the way of irrelevant feature change depends on the aim of the task.…”

Section: Discussioncontrasting

confidence: 76%

Object-based encoding in visual working memory: A life span study

et al. 2013

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Recent studies on development of visual working memory (VWM) predominantly focus on VWM capacity and spatial-based information filtering in VWM. Here we explored another new aspect of VWM development: object-based encoding (OBE), which refers to the fact that even if one feature dimension is required to be selected into VWM, the other irrelevant dimensions are also extracted. We explored the OBE in children, young adults, and old adults, by probing an "irrelevant-change distracting effect" in which a change of stored irrelevant feature dramatically affects the performance of task-relevant features in a change-detection task. Participants were required to remember two or four simple colored shapes, while color was used as the relevant dimension. We found that changes to irrelevant shapes led to a significant distracting effect across the three age groups in both load conditions; however, children showed a greater degree of OBE than did young and old adults. These results suggest that OBE exists in VWM over the life span (6-67 years), yet continues to develop along with VWM.

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Section: Discussioncontrasting

confidence: 76%

Object-based encoding in visual working memory: A life span study

et al. 2013

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“…Based on previous studies [16], [20], [26], [27], [28], [29], [30] and scrutiny of the present N270 distribution, the statistical analysis was mainly restricted to the frontal regions. Since the ERP waveforms were fairly similar across the frontal electrodes (FP1, FP2, FCZ, FZ, F3, F4, FC3, and FC4) and our previous studies did not reveal an significant interaction between change types and electrodes [16], [20], [31], we thus averaged these electrodes to form one representative electrode, which would help us focus on the change-related signals.…”

Section: Methodsmentioning

confidence: 99%

“…If the irrelevant feature could be selected into VWM, then its change in the test array would affect the behavioral performance of the target feature [17], [18], [19] and evoke a negative ERP component N270 in the frontal region compared to the no-change condition. The N270 is suggested to reflect the detailed comparison of individual features between the representation in VWM and the incoming perceptual input [16], [20], [21].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, if the feature-based filtering was further modulated by the irrelevant information type, then the low-capacity group may be only able to filter out the fine-grained information, but not the high-discriminable information since multiple lines of evidences showed that the latter could be involuntarily selected into VWM [16], [17], [20], [22], [23]. Furthermore, if the VWM capacity modulated the feature-based filtering as in the location-based filtering, we may also find a significant negative correlation (i.e., lower capacity participants exhibiting a higher N270) between the irrelevant-change-related N270 amplitude and the VWM capacity.…”

Section: Introductionmentioning

confidence: 99%

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Visual Working Memory Capacity Does Not Modulate the Feature-Based Information Filtering in Visual Working Memory

et al. 2011

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BackgroundThe limited capacity of visual working memory (VWM) requires us to select the task relevant information and filter out the irrelevant information efficiently. Previous studies showed that the individual differences in VWM capacity dramatically influenced the way we filtered out the distracters displayed in distinct spatial-locations: low-capacity individuals were poorer at filtering them out than the high-capacity ones. However, when the target and distracting information pertain to the same object (i.e., multiple-featured object), whether the VWM capacity modulates the feature-based filtering remains unknown.Methodology/Principal FindingsWe explored this issue mainly based on one of our recent studies, in which we asked the participants to remember three colors of colored-shapes or colored-landolt-Cs while using two types of task irrelevant information. We found that the irrelevant high-discriminable information could not be filtered out during the extraction of VWM but the irrelevant fine-grained information could be. We added 8 extra participants to the original 16 participants and then split the overall 24 participants into low- and high-VWM capacity groups. We found that regardless of the VWM capacity, the irrelevant high-discriminable information was selected into VWM, whereas the irrelevant fine-grained information was filtered out. The latter finding was further corroborated in a second experiment in which the participants were required to remember one colored-landolt-C and a more strict control was exerted over the VWM capacity.Conclusions/SignificanceWe conclude that VWM capacity did not modulate the feature-based filtering in VWM.

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“…Furthermore, the neural substrate of N270 lies at anterior cingulate cortex (ACC), which fits well with the neural region for conflict processing Zhang et al 2008). Recently, some researchers have successfully adopted the N270 to explore the inner representation issues, such as the representation mechanisms in visual working memory, the number representation, and found that the N270 profiles matched well with the implication of the behavioral performance (e.g., Chen et al 2009;Gao et al 2010;Newman and Connolly 2004;Yin et al 2011;Zhou et al 2011). Here, we asked participants to do different levels of processing for the firstpresented numbers, and then compare the memory representation of the first numbers with the second input, to examine whether the N270 was modulated by the notation types of the second input numbers.…”

Section: Introductionmentioning

confidence: 70%

Number representation is influenced by numerical processing level: an ERP study

et al. 2012

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The same numerical magnitude can be manifested in different physical notations. However, how the numbers with distinct notations are mentally represented is still unclear. Here, we hypothesized that how the number is mentally represented is influenced by the numerical processing level of the tasks. If the task only needed a low-level processing, the representation would be dependent on the surface forms of the numbers, exhibiting a numerical notation-dependent effect. By contrast, if the task required a deeper magnitude processing, the processing would utilize an abstract numerical format whose effects are notation independent. To test this hypothesis, we manipulated the notation type and the numerical processing level of the tasks. An ERP component N270 was taken to index the mismatch between the internal representation and the probed number. The results showed that N270 was enhanced when the magnitude was mismatched between two numbers. More importantly, under the task requiring a low-level processing (e.g., magnitude comparison), compared with the same notations, the latency of N270 difference wave was delayed by different notations, exhibiting a notation-dependent effect. However, in the task involving a deeper processing (e.g., magnitude addition), the N270 latencies were earlier for probes having distinct notations (Mandarin or Arabic number) than for probes having the same notations as in the addition operation (Mahjong). Moreover, no difference was found on N270 latencies between the two distinct notations but with similar degree of familiarity. Taken together, these results support our hypothesis that the numerical processing level affects the number representation.

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Tracking the mismatch information in visual short term memory: An event-related potential study

Cited by 28 publications

References 31 publications

Object-based encoding in visual working memory: A life span study

Object-based encoding in visual working memory: A life span study

Visual Working Memory Capacity Does Not Modulate the Feature-Based Information Filtering in Visual Working Memory

Number representation is influenced by numerical processing level: an ERP study

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