— Do you mean spraying something attractive for the insects with mint extract, let’s say, and seeing if they recognize mint? Something like that?
— Something like that. We tried all sorts of things with them. It's way trickier than working with bees and ants, which are well-understood. We started by trying to offer insects substrates with a set of smells or tastes, but it was very difficult because we couldn't distinguish age and often even gender in live specimens, nothing. All experiments involve host eggs, as is traditionally done with parasitoids, but the varying conditions of the insects greatly hinder them.
— There are probably also females mixed in with males... The behavior will depend on the ratio of females to males, right?
— Yes, it proved quite challenging, so we devised a small electric shock for them. They are 200 microns in length, you understand. We created chambers where we would shock them and simultaneously expose them to a neutral odor, so they could learn to avoid it. We even conceived, designed, built, and tested everything. It worked, but in the end, we couldn't find a neutral stimulus for them as their olfaction is so discrete that they only respond to a very limited range of stimuli.
— So they have certain odors they notice, and the rest they simply ignore, right?
— Yes. And what they notice is so deeply ingrained that retraining them proves to be very difficult.
— In retrospect, it seems obvious that this is how it work
— Indeed. We knew how many sensillae they have on their antennae, what types they are, and so on. But one wants to believe in the impossible. In other words, the result was somewhat expected, but we still had to see it for ourselves, and we did.
We then began to study them in a thermal arena similar to the Morris water maze, where he had rats swimming in the water with small islands appearing here and there...
— And the rats would memorize their locations.
— That's a classic experimental setup. For insects, a version was created long ago that included a field heated to an uncomfortable temperature with cold spots that would activate intermittently. Insects scurry around this arena locating the cold spots, and there are landmarks that rotate in sync with their activation. The insects' objective is to learn to navigate using the image on the screen and quickly locate the next cold spot.
Initially, these arenas were designed for crickets. In our experiments, we were inspired by an article in Nature where a similar 20-centimeter arena was used for Drosophila. In their setup, they already had a Peltier cooling module, computer controls, and an LED screen. All very sophisticated but of 20-centimeter size.
We spent a couple of years developing an 18-millimeter arena with four cold spots, cramming in all the necessary components, including controls for the cold spots, an LED screen displaying surrounding images, and the software to manage it all. And now, we're putting it through its paces. At this point, it doesn't matter whether the insect wants to eat or reproduce.
— I understand. It's too hot to do either of those things. But how do you verify things?
— It's quite simple because the insect doesn't know anything at the beginning. We can conduct several versions of the experiment. At first, we observe how the insect moves around the arena to ensure it doesn't prefer a certain part or a particular screen image. After that, the entire training sequence comes down to us activating a cold spot and observing the subject as it scurries around the arena until it finds it. Then it stays on the cold spot for a while to rest, after which we switch to another cold spot. When the previous cold spot warms up, the subject starts moving again, searching for the next one. The positive reinforcement here is that it finds a cold spot with a comfortable temperature...
— While observing the marks on the screen...
— By repeating this process a certain number of times, we can analyze the path the subject takes, the time it takes, the direction it starts moving after leaving the previous cold spot, and so on.
— Is there a camera overhead capturing the tracks, which are then processed by some software?
— Yes, we track the subject's movements and then analyze all the data. After that, we can deactivate all the cold spots and let the subject roam around the hot arena to see if it will search for a non-existent cold spot and measure how much time it spends in the area where a cold spot should have been.
We observe all of this in small insects. It appears that not only can they learn this, but they do so very quickly.
M.G.: Why do they run when they can fly?
A.P.: Well, they can’t. The arena is flat, and we adjust the height so that the subjects can run freely but are unable to fly. That is, it's about 200–300 microns high. It turns out small insects are capable of learning. All the subjects we've worked with learn to orient themselves in less than ten attempts.
— Is that faster than crickets?
— Yes, it's faster than crickets. According to Morris's classic studies, rats start learning from around the 15th to 18th attempt, while crickets start learning from the tenth attempt. The trichograms we mentioned earlier start learning from the fourth attempt, but the Megaphragma don't learn. Well, to be more precise, only some individuals learn.
— What does it depend on?
— That's a question we're trying to answer. Most likely, it depends on either their physiological state or environmental factors like temperature and light levels.
— A difficult upbringing, huh?
— It seems so. Given their limited set of senses and what they can perceive, one of the challenges when working with insects is that we don't fully understand how their world is designed. Until recently, most insect learning experiments were highly anthropomorphic. Giving them a task that is unsolvable for them and assuming they can learn to solve it, or giving them a task that they wouldn't naturally encounter in the wild, was a failed approach.
About 30 or 40 years ago, Mazokhin, one of the heads of our department, demonstrated with bees and later many times with ants that the level of learning varies greatly.
With ants, it turns out that roles within a single family are distributed in a very complex manner. There are individuals who can learn and those who can't. There are geniuses and those who can follow the genius but can't do anything on their own. In essence, it's a very complex world.
It seems we're dealing with individual peculiarities and the need to formulate the right tasks for experiments. With bees and wasps, you can try as much as you want, but bees easily learn color because they feed on flowers, while wasps learn the shape of images better and color worse because they are predators.
— Now you're talking about different species, not individuals within a family. By the way, I have another interesting question. It's clear that a large variance in learnability could be beneficial for social insects because a complex community is more stable than a community where all members are identical. But why does this happen with solitary insects? Does it simply depend on how the larva was fed?
— Indeed, a lot depends on how well you ate as a child. It's especially true for insects, and particularly for parasitoids, because depending on how many individuals develop in a single host egg or the size of the host egg, the body size can vary significantly. This is even true within the offspring of the same individual, and in the case of parthenogenesis, even within absolute clones.
— So how would you say this benefits the national economy? Or do they not allow journalists who ask such questions to talk to you?
— Unfortunately, I get asked this question often. Of course, I don't have an answer because what we're doing right now is purely fundamental science and has no practical application.
— Want me to come up with one? Your studies could be used to create microdrones.
— Every time I come up with some answers about biomorphic technologies, about micro-robotics... There is even a textbook on micro-robotics that has plagiarized parts of our articles and presented them as something from the future of robotics. But all of this is, of course, speculative. In reality, there is no practical sense in it at the moment.
— But there is. It's my question that was senseless. It was just a minor provocation.
— When we studied the flight of these small subjects, half of the people who wrote about it naturally wrote about miniature flying machines and so on. I think we even mentioned it in one of our articles. But not in the sense of "go ahead and make it", but as a challenge. Because currently, the development of miniature flying machines is mainstream in micro-robotics. Only the lazy aren't making insect-sized flying robots. Even top-tier labs and centers, like Harvard and MIT, are creating small robots. By their standards, small is one or two centimeters. They look fantastic in pictures, those cool winged robots. But the way they fly is laughably bad. So a robot that's a fraction of a millimeter in size isn't real robotics. It's a challenge for future roboticists.