The number of objects determines visual working memory capacity allocation for complex items

Balaban, Halely; Luria, Roy

doi:10.1016/j.neuroimage.2015.06.051

Cited by 29 publications

(24 citation statements)

References 37 publications

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“…Following convention (Vogel et al, 2005), in order to analyze the CDA component, for each study group, separate average waveforms for each condition were generated, and difference waves were constructed by subtracting the average activity recorded from the electrodes ipsilateral to the memorized array from the average activity recorded from electrodes contralateral to the memorized array. Since the present study used distractors that are real complex objects (i.e., Facebook icons), and congruent with some evidence that complex items (e.g., polygons, faces, real-world objects) require more processing time that is accompanied with later developing CDAs (e.g., Balaban & Luria, 2015;Brady, Stormer, & Alvarez, 2016;Meconi et al, 2014;Stout et al, 2013), the measurement window of the CDA in our study started only 500 ms after the onset of the memory array. Additionally, and consistent with many studies (e.g., Duarte et al, 2013;Kang & Woodman, 2014;Kundu, Sutterer, Emrich, & Postle, 2013;Störmer, Li, Heekeren, & Lindenberger, 2013;Zaehle et al, 2013) the duration of the CDA window was set to 500 ms.…”

Section: Methodssupporting

confidence: 85%

“…Artifact detection was performed using a peak-to-peak analysis, based on a sliding window 200 ms wide with a step of 100 ms. Trials containing activity exceeding 80 μv at the EOG electrodes, due to ocular artifacts, or 100 μv at the analyzed electrodes (P7, P8, PO7, PO8, PO3, and PO4), due to other artifacts, were excluded from the averaged ERP waveforms (Balaban & Luria, 2015). This procedure resulted in a mean rejection rate of 8.…”

Section: Methodsmentioning

confidence: 99%

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For whom is social-network usage associated with anxiety? The moderating role of neural working-memory filtering of Facebook information

Sternberg

Luria

Sheppes

2018

Cogn Affect Behav Neurosci

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Is Facebook usage bad for mental health? Existing studies provide mixed results, and direct evidence for neural underlying moderators is lacking. We suggest that being able to filter social-network information from accessing working memory is essential to preserve limited cognitive resources to pursue relevant goals. Accordingly, among individuals with impaired neural social-network filtering ability, enhanced social-network usage would be associated with negative mental health. Specifically, participants performed a novel electrophysiological paradigm that isolates neural Facebook filtering ability. Participants' actual Facebook behavior and anxious symptomatology were assessed. Confirming evidence showed that enhanced Facebook usage was associated with anxious symptoms among individuals with impaired neural Facebook filtering ability. Although less robust and tentative, additional suggestive evidence indicated that this specific Facebook filtering impairment was not better explained by a general filtering deficit. These results involving a neural social-network filtering moderator, may help understand for whom increased online social-network usage is associated with negative mental health.

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Section: Methodssupporting

confidence: 85%

Section: Methodsmentioning

confidence: 99%

For whom is social-network usage associated with anxiety? The moderating role of neural working-memory filtering of Facebook information

Sternberg

Luria

Sheppes

2018

Cogn Affect Behav Neurosci

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“…CDA amplitudes are sensitive to several factors, such as the number of object representations in visual working memory2728 and task requirements505152. Previous results have also pointed to the role of object complexity in the modulation of CDA5354 (but see also refs 55, 56, 57). Thus, it could be argued that the effect found in the present study is not strictly driven by the number of parts, but rather by the fact that increasing part numerosity correlated with an increase in object complexity.…”

Section: Discussionmentioning

confidence: 90%

Individuation of objects and object parts rely on the same neuronal mechanism

Poncet

Caramazza

Mazza

2016

Sci Rep

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Recent results have shown that participants can enumerate multiple parts of a single object as efficiently as multiple distinct objects, suggesting a shared mechanism for individuation of objects and object parts. Here we used the subitizing phenomenon to investigate the neural mechanism underlying the individuation of object parts. In two experiments, we measured a lateralized EEG response (N2pc) previously associated with individuation of multiple objects. In line with the subitizing effect, participants’ error rate was low (less than 10%) when enumerating up to approximately three parts of an object but increased for larger numerosities. The N2pc amplitude increased as a function of the number of object parts, and reached an asymptote corresponding to the subitizing limit, replicating previous reports for separate objects. These results invite the inference that the same neural mechanism underlies individuation of multiple distinct objects and multiple parts of a single object.

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“…While this manipulation improved the accuracy performance, the CDA amplitude did not show any reduction relative to a condition in which the task required encoding the full polygon’s resolution. Moreover, a recent study (Balaban and Luria, 2015b) found that one polygon had the same CDA amplitude relative to just half of that polygon, even though a polygon is evidently more complex than its half.…”

Section: Using the Cda To Study Vwmmentioning

confidence: 98%

The contralateral delay activity as a neural measure of visual working memory

Luria

Balaban

Awh

et al. 2016

Neuroscience & Biobehavioral Reviews

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277

245

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The contralateral delay activity (CDA) is a negative slow wave sensitive to the number of objects maintained in visual working memory (VWM). In recent years, a growing number of labs started to use the CDA in order to investigate VWM, leading to many fascinating discoveries. Here, we discuss the recent developments and contribution of the CDA in various research fields. Importantly, we report two meta-analyses that unequivocally validate the relationship between the set-size increase in the CDA amplitude and the individual VWM capacity, and between the CDA and filtering efficiency. We further discuss how the CDA was used to study the role of VWM in visual search, multiple object tracking, grouping, binding, and whether VWM capacity allocation is determined by the items’ resolution or instead by the number of objects regardless of their complexity. In addition, we report how the CDA has been used to characterize specific VWM deficits in special populations.

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The number of objects determines visual working memory capacity allocation for complex items

Cited by 29 publications

References 37 publications

For whom is social-network usage associated with anxiety? The moderating role of neural working-memory filtering of Facebook information

For whom is social-network usage associated with anxiety? The moderating role of neural working-memory filtering of Facebook information

Individuation of objects and object parts rely on the same neuronal mechanism

The contralateral delay activity as a neural measure of visual working memory

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