Command Palette

Search for a command to run...

Back to all research
Ask AI About This Paper

Mental Imagery and Visual Working Memory

DOI: 10.1371/journal.pone.0029221
Keogh, R., & Pearson, J. (2011). Mental imagery and visual working memory. PLoS ONE, 6(12), e29221. doi:10.1371/journal.pone.0029221

Abstract

Visual working memory provides an essential link between past and future events. Despite recent efforts, capacity limits, their genesis and the underlying neural structures of visual working memory remain unclear. Here we show that performance in visual working memory - but not iconic visual memory - can be predicted by the strength of mental imagery as assessed with binocular rivalry in a given individual. In addition, for individuals with strong imagery, modulating the background luminance diminished performance on visual working memory and imagery tasks, but not working memory for number strings. This suggests that luminance signals were disrupting sensory-based imagery mechanisms and not a general working memory system. Individuals with poor imagery still performed above chance in the visual working memory task, but their performance was not affected by the background luminance, suggesting a dichotomy in strategies for visual working memory: individuals with strong mental imagery rely on sensory-based imagery to support mnemonic performance, while those with poor imagery rely on different strategies. These findings could help reconcile current controversy regarding the mechanism and location of visual mnemonic storage.

Authors

  • Rebecca Keogh17
  • Joel Pearson33

What This Study Is About

Researchers wanted to know if having a strong "mind’s eye"—the ability to picture things in your head—helps you better remember visual information for a short time. They also wanted to see if people who can’t picture things very well use different "backup" strategies to remember.

How They Studied It

The researchers worked with 35 students. To measure the strength of their mental imagery (internal pictures), they used a clever test called "binocular rivalry." This involves showing a different color to each eye; usually, the brain flips between them, but if you imagine one color beforehand, that color "wins" more often.
Participants also did visual working memory tasks, which are like a mental "scratchpad" where you hold onto a picture for a few seconds. They had to remember the exact tilt of a striped pattern. Finally, they tested if a bright background light would "jam" their memory, similar to how it’s hard to see a movie if someone turns the lights on in the theater.

What They Found

The study found that people with the strongest mental imagery were generally the most accurate at remembering the visual patterns. However, there was a twist: people with very weak imagery (close to what we call aphantasia) could still do the task successfully!
The most surprising part? When researchers turned on a bright background light, it messed up the memory of the "strong imagers." But for the "weak imagers," the light didn't bother them at all. They performed exactly the same.

What This Might Mean

This suggests that there isn't just one way to remember a picture. People with strong imagery seem to use their mind’s eye like a camera to store a "photo" of the information. People with weak imagery or aphantasia likely use a different strategy—perhaps a "language-based" one, where they describe the object to themselves in words (e.g., "the lines were tilted slightly right").
While this study suggests imagery is a helpful tool, it proves it’s not the *only* tool. One limitation is that this was a small study of college students, so we need more research specifically with people who have lifelong aphantasia to see if these "backup" strategies are the same for everyone.

One Interesting Detail

The researchers found that mental imagery is like a specialized piece of software: it helps with visual tasks, but it has no effect on remembering strings of numbers. Your "mind's eye" and your "math brain" seem to live in different neighborhoods!
This summary was generated by AI and may contain errors. Always refer to the original paper for accuracy.