scholarly journals Real-world objects are not stored in holistic representations in visual working memory

2019 ◽  
Author(s):  
Yuri Markov ◽  
Igor Utochkin ◽  
Timothy F. Brady

When storing multiple objects in visual working memory, observers sometimes misattribute perceived features to incorrect locations or objects. These misattributions are called binding errors (or swaps) and have been previously demonstrated mostly in simple objects whose features are easy to encode independently and arbitrarily chosen, like colors and orientations. Here, we tested whether similar swaps can occur with real-world objects, where the connection between features is meaningful rather than arbitrary. In Experiments 1 and 2, observers were simultaneously shown four items from two object categories. Within a category, the two exemplars could be presented in either the same or different states (e.g., open/closed; full/empty). After a delay, both exemplars from one of the categories were probed, and participants had to recognize which exemplar went with which state. We found good memory for state information and exemplar information on their own, but a significant memory decrement for exemplar-state combinations, suggesting that binding was difficult for observers and “swap” errors occurred even for meaningful real-world objects. In Experiment 3, we used the same tasks, but on half of the trials, the locations of the exemplars were swapped at test. We found that participants ascribed incorrect states to exemplars more frequently when the locations of exemplars were swapped. We concluded that the internal features of real-world objects are not perfectly bound in working memory, and location updates impair the object representation. Overall, we provide evidence that even real-world objects are not stored in an entirely unitized format in working memory.

2020 ◽  
Author(s):  
Timothy F. Brady ◽  
Viola S. Störmer ◽  
Anna Shafer-Skelton ◽  
Jamal Rodgers Williams ◽  
Angus F. Chapman ◽  
...  

Both visual attention and visual working memory tend to be studied with very simple stimuli and low-level paradigms, designed to allow us to understand the representations and processes in detail, or with fully realistic stimuli that make such precise understanding difficult but are more representative of the real world. In this chapter we argue for an intermediate approach in which visual attention and visual working memory are studied by scaling up from the simplest settings to more complex settings that capture some aspects of the complexity of the real-world, while still remaining in the realm of well-controlled stimuli and well-understood tasks. We believe this approach, which we have been taking in our labs, will allow a more generalizable set of knowledge about visual attention and visual working memory while maintaining the rigor and control that is typical of vision science and psychophysics studies.


2020 ◽  
Author(s):  
Timothy F. Brady ◽  
Viola S. Störmer

Visual working memory is a capacity-limited cognitive system used to actively store and manipulate visual information. Visual working memory capacity is not fixed, but varies by stimulus type: stimuli that are more meaningful are better remembered. In the current work, we investigate what conditions lead to the strongest benefits for meaningful stimuli. We propose that in some situations, participants may be prone to try to encode the entire display holistically (i.e., in a quick ‘snapshot’), encouraging participants to treat objects simply as meaningless colored ‘blobs’, rather than processing them individually and in a high-level way, which could reduce benefits for meaningful stimuli. In a series of experiments we directly test whether real-world objects, colors, perceptually-matched less-meaningful objects, and fully scrambled objects benefit from deeper processing. We systematically vary the presentation format of stimuli at encoding to be either simultaneous — encouraging a parallel, ‘take-a-quick-snapshot’ strategy — or present the stimuli sequentially, promoting a serial, each-item-at-once strategy. We find large advantages for meaningful objects in all conditions, but find that real-world objects — and to a lesser degree lightly scrambled, still meaningful versions of the objects — benefit from the sequential encoding and thus deeper, focused-on-individual-items processing, while colors do not. Our results suggest single feature objects may be an outlier in their affordance of parallel, quick processing, and that in more realistic memory situations, visual working memory likely relies upon representations resulting from in-depth processing of objects (e.g., in higher-level visual areas) rather than solely being represented in terms of their low-level features.


Author(s):  
Timothy F. Brady ◽  
Viola S. Störmer ◽  
Anna Shafer-Skelton ◽  
Jamal R. Williams ◽  
Angus F. Chapman ◽  
...  

2018 ◽  
Vol 18 (10) ◽  
pp. 116
Author(s):  
Kartik Sreenivasan ◽  
Ainsley Temudo ◽  
Vahan Babushkin

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