Visual working memory is the mental scratchpad that keeps a handful of visual items active after they disappear from view. Its capacity is famously small, often estimated at around three or four items, and researchers have debated for decades whether storing the conjunction of features—say, that a particular shape was a particular color—costs more than storing the features themselves. A growing body of evidence suggested that it does, and that the extra cost is paid in a currency called object-based attention. When people must divide that resource across multiple objects during memory maintenance, conjunction memory suffers while memory for individual colors and shapes remains largely spared. The interpretation seemed straightforward: bindings are fragile, and keeping them glued together requires ongoing attention directed at objects.

But there was a catch, and it is the kind of catch that can quietly undermine an entire literature. Nearly all previous demonstrations used long encoding windows of roughly a thousand milliseconds, during which participants could study the memory array at leisure. Within such a generous window, two very different processes could unfold. The first is rapid and automatic: features are bound into objects almost immediately, a process long associated with reentrant processing in visual cortex. The second is slower and strategic: a controlled elaboration that stabilizes, rehearses, and consolidates the initial representations. If object-based attention only mattered for the second process, then the classic results might reveal nothing about bindings as such—only about the products of deliberate mental housekeeping performed during a full second of viewing time.

The Zhejiang University team designed their study to sever these two possibilities. Across three experiments, participants performed a change-detection task on color-shape conjunctions, or alternatively on the constituent colors and shapes presented separately, while a concurrent secondary task manipulated the demand on object-based attention. The secondary task was a variant of the feature-report paradigm introduced by John Duncan in 1984, a foundational demonstration that attention operates on objects rather than purely on spatial locations. In the high-demand condition, participants reported two features belonging to two different objects, forcing object-based attention to split and thereby consuming the resource. In the low-demand condition, they reported two features of the same object, leaving the resource largely available for the memory task.

The critical manipulation was temporal. In Experiment 1, the memory array was shown for only 200 milliseconds before the secondary-task stimulus appeared—far too brief for the slower strategic-control process to run its course, though rapid automatic binding could still occur. In Experiment 2, the window shrank to 100 milliseconds, tightening the constraint further. In Experiment 3, the researchers went all the way: the memory array and the secondary-task stimulus appeared simultaneously, leaving no post-encoding window at all in which object-based attention could act on the memory representations unopposed. If the selective impairment of binding memory vanished as the window closed, that would indicate the effect depended on strategic stabilization. If it persisted, the dependence would have to be intrinsic to the binding representations themselves.

The results were strikingly clean. In all three experiments, consuming object-based attention selectively impaired binding memory relative to feature memory, and the magnitude of that selective cost was statistically indistinguishable across experiments. Whether participants had 200 milliseconds, 100 milliseconds, or effectively zero milliseconds of unopposed processing time, draining the object-based attentional resource hurt their ability to remember which color went with which shape, while leaving their memory for the colors and shapes in isolation comparatively untouched. Bayesian and frequentist analyses alike supported the conclusion that the three experiments measured the same underlying effect, not a shrinking one.

This pattern carries a theoretically loaded message. The dependence of working memory bindings on object-based attention is not a downstream consequence of strategic stabilization during extended encoding; it is a property of binding representations themselves. In other words, even the fastest, most automatic bindings in visual working memory are not self-sustaining. They require a continuous supply of object-based attention to remain coherent during retention, and that requirement is baked into what a binding is, not bolted on by deliberate effort. The finding aligns with the hierarchical binding model advanced by Zaifeng Gao and Mowei Shen, in which object-based attention serves as the glue that maintains integrated object representations over time.

The study also helps reconcile a stubbornly contradictory literature. Some earlier experiments, including work by Allen, Baddeley, and Hitch, found that binding in working memory was relatively undemanding of attention, while others found clear attentional costs. Subsequent resolutions proposed that different forms of attention and different buffer stores were at play. The new results add a temporal dimension to that resolution: studies using long encoding windows may have inadvertently given participants room for strategic control processes that either supplemented or masked the attentional maintenance of bindings. By compressing the timeline, Zhang and colleagues show that the core attentional dependence survives even when strategy is squeezed out, suggesting that genuine disagreements in the literature stem from what happens after encoding rather than from the nature of binding itself.

There are broader implications for how scientists model the architecture of working memory. Computational accounts, such as the neural architecture proposed by Schneegans and Bays, treat binding as arising from conjunctive population codes that can, in principle, persist without extra maintenance. The new evidence pushes back against purely passive conceptions: the conjunction information in working memory behaves as though it is actively sustained by an object-centered attentional resource, one that can be taxed by any concurrent task requiring features to be gathered from multiple objects. That resource is distinct from the general attention needed to encode and retrieve visual memories, which affects features and bindings alike. The selective pattern—bindings hit, features spared—is the signature that makes object-based attention identifiable as the specific mechanism at work.

For everyday cognition, the message is humbling. The vivid, unified objects you hold in mind after a glance are not snapshots; they are ongoing constructions that the brain must keep paying for. Divert object-based attention elsewhere—by asking it to juggle features from several different objects at once—and the glue begins to fail, even if only a tenth of a second has passed since the objects vanished. The study was supported by the National Natural Science Foundation of China and the Zhejiang Key Laboratory of Neurocognitive Development and Mental Health, and the authors have made their data, analysis files, experimental programs, and stimuli publicly available on the Open Science Framework, an openness that should speed up the next round of experiments probing exactly how, and for how long, attention keeps the pieces of our visual world stitched together.

Subject of Research: The role of object-based attention in maintaining feature bindings in visual working memory

Article Title: Object-based attention sustains feature binding in working memory without requiring strategic control

Article References: Zhang, X., Wu, F., Zhou, Q., Shen, M., & Gao, Z. (2026). Object-based attention sustains feature binding in working memory without requiring strategic control. Attention, Perception, & Psychophysics, 88(7), Article 195. https://doi.org/10.3758/s13414-026-03341-5

Image Credits: AI Generated

DOI: 10.3758/s13414-026-03341-5

Keywords: visual working memory, feature binding, object-based attention, attention, change detection, Duncan task, cognitive psychology, encoding, strategic control, Zhejiang University, memory maintenance, binding problem