Bumblebees flexibly adjust learning and decision strategies to sensory information content in a foraging task
Posted on: 28 May 2025 , updated on: 29 May 2025
Preprint posted on 17 December 2024
so many features…so little time: bumblebees show optimization of cue integration in a memory task.
Selected by T. W. Schwanitz, Cemre CoskunCategories: animal behavior and cognition, neuroscience
Introduction
What do we actually remember when we recognize another person? What features does our brain prioritize to let it recognize and learn another face quickly? And more broadly, how do we keep track of the many different objects in our lives and know which ones are ours?
There are many challenges to understanding how brains encode multiple features for recognition and how those features might get prioritized in learning. To overcome these experimental challenges, Spaethe and colleagues decided to leverage the bumblebee as their study system. Bumblebees are reasonably docile and easy to handle in the lab, and, importantly, they can be trained to recognize colors, patterns, and shapes and then associate these with a sugar reward. This behavior comes naturally to the bees: they spend much of their adult lives flitting from flower to flower, with some being easier to tell apart than others. Moreover, some blossoms are more generous with their nectar rewards, making recognition of distinct flower types a useful skill for the bumblebee.
Experimental design
Bees were “trained” by allowing them to fly out and perform a foraging trip 30 times. In a training session, a given color and pattern/shape were associated with the sugar reward. Then, the authors tested the bees with a series of 10 trips where the same color remained a good indicator of sugar reward but the pattern/shape that had hitherto been associated with the reward suddenly was not. The bees were trained again for 30 trips with the original combination or reward features. Finally, they were tested on 10 trips where the sugar stations now had only the pattern or shape but no color to mark the reward (Fig. 1).

- Bumblebees overwhelmingly give preference to color as a cue for recognizing feeder stations that supply a reward.
- When the colors are easy to discriminate, the bumblebees evidently do not learn the pattern/shape associated with the reward. Instead, they rely on the color as their recognition feature.
- When the colors are difficult to discriminate, e.g., two similar colors like yellow and orange, the bumblebees do also learn to associate the pattern/shape with the reward, possibly to augment their decision making.
Given these results, the authors then made a Bayesian model to help understand and formalize these behavioral results. This model, and the empirical data, suggest that bees switch their decision-making strategy based on how difficult it is to rely solely on their preferred feature. To put this into human terms, if there’s only one person with red hair in a new group of people you encounter, you might quickly be able to distinguish them based solely on that salient feature; however, if there are multiple redheads in a group, then your brain would have to take advantage of other more subtle features for distinguishing them.
Spaethe and colleagues also further analyzed their behavioral data by looking closely at each learning block, and by performing additional experiments investigating how bees handle single versus multiple attributes. There are a few key takeaways from this part of the paper:
- As one would expect, bumblebees more quickly leanred distant color pairs. Colors that were close together, i.e., more difficult to discriminate, took longer to learn.
- Bumblebees shift strategy consistent with cue blocking in associative learning. When one cue is highly predictive (color) and easily associated with the reward, it blocks the learning process for others (pattern/shape).
- The authors also asked if bees learned close color combinations more quickly when they were presented with patterns/shapes. Although the effect is subtle, it does seem that having an additional cue helped them to learn faster (Fig. 4D of the preprint).
The results from these experiments (contained in Fig. 4 of the preprint) suggest that for difficult features, having several cues can improve learning outcomes. The exact mechanisms underlying this effect remain unclear, yet it is a result that makes some intuitive sense: the brain can learn more quickly when it can get more information to help sort out tricky features. Moreover, bumblebees can flexibly switch their learning strategy depending on the reliability of the cue and can make trade-offs between speed and accuracy in learning—an ability that has no doubt been selected for multiple times over the course of nervous system evolution.
What we like about this preprint
doi: https://doi.org/10.1242/prelights.40575
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