Bees can count with just four nerve cells in their brains

December 21, 2018, Queen Mary, University of London
A bumblebee choosing between two patterns containing different numbers of yellow circles. Credit: Lars Chittka

Bees can solve seemingly clever counting tasks with very small numbers of nerve cells in their brains, according to researchers at Queen Mary University of London.

In order to understand how bees count, the researchers simulated a very simple miniature '' on a computer with just four nerve cells—far fewer than a real bee has.

The 'brain' could easily count small quantities of items when inspecting one item closely and then inspecting the next item closely and so on, which is the same way bees count. This differs from humans who glance at all the items and count them together.

In this study, published in the journal iScience, the researchers propose that this clever behaviour makes the complex task of counting much easier, allowing bees to display impressive cognitive abilities with minimal brainpower.

Previous studies have shown bees can count up to four or five items, can choose the smaller or the larger number from a group and even choose 'zero' against other numbers when trained to choose 'less'.

They might have achieved this not by understanding numerical concepts, but by using specific flight movements to closely inspect items which then shape their visual input and simplifies the task to the point where it requires minimal brainpower.

This finding demonstrates that the intelligence of bees, and potentially other animals, can be mediated by very small nerve cells numbers, as long as these are wired together in the right way.

The study could also have implications for because efficient autonomous robots will need to rely on robust, computationally inexpensive algorithms, and could benefit from employing insect-inspired scanning behaviours.

Lead author Dr. Vera Vasas, from Queen Mary University of London, said: "Our model shows that even though counting is generally thought to require high intelligence and large brains, it can be easily done with the smallest of nerve cell circuits connected in the right manner. We suggest that using specific flight movements to scan targets, rather than numerical concepts, explains the bees' ability to count. This scanning streamlines the visual input and means a task like counting requires little brainpower.

"Careful examination of the actual inspection strategies used by animals might reveal that they often employ active scanning behaviours as shortcuts to simplify complex visual pattern discrimination tasks. Hopefully, our work will inspire others to look more closely not just at what cognitive tasks animals can solve, but also at how they are solving them."

Brain size matters a lot when it comes to bees. They have only one million in total, so they have precious little brainpower, and must implement very efficient computational algorithms to solve tasks. In comparison, humans have 86 billion which are responsible for receiving information and sending commands.

To model the input to the brain, the authors analysed the point of view of a bee as it flies close to the countable objects and inspects them one-by-one.

The results showed the simulated brain was able to make reliable estimates on the number of items on display when provided with the actual that the bee is receiving while carrying out the .

Professor Lars Chittka, also from Queen Mary University of London and leader of the team in which the study was performed, added: "These findings add to the growing body of work showing that seemingly intelligent behaviour does not require large brains, but can be underpinned with small neural circuits that can easily be accommodated into the microcomputer that is the insect brain".

Explore further: Simulated honeybees can use simple brain circuits for complex learning

More information: Vera Vasas et al, Insect-inspired sequential inspection strategy enables an artificial network of four neurons to estimate numerosity, iScience (2018). DOI: 10.1016/j.isci.2018.12.009

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torbjorn_b_g_larsson
5 / 5 (1) Dec 22, 2018
This article reads a bit odd to me. The analog network function is implemented in artificial linear neurons by adjusting weight factors. Real neurons are often spiking, and linearity as in the artificial neurons can be achieved by summing dendrite inputs [ https://en.wikipe...l_neuron ]. But then there is either dendrite growth or, more realistically, a larger set of neurons involved in the biological bee brain.

So maybe the claim is that the simulated brain can use four artificial neurons, but - as is often the case - the editor made up a phony click bait title. ADDED: Indeed, I just saw the same ScienceDaily article with a factful title ("smaller number of nerve cells").
Anonym518498
3 / 5 (2) Dec 22, 2018
Amazing since some humans can't count with a gazillion nerve cells

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