Memory Plays a Critical Role in Animal Behavior

Physics 15, s39
A new animal-foraging model accurately predicts the dynamics of Egyptian fruit bats, allowing researchers to uncover a surprising phase transition in the penchant of animals to explore.

Just as the random motion of individual particles leads to the diffusion of a gas, the exploration of individual animals contributes to population-scale patterns in their movements. But unlike a particle, an animal’s memory of its past movements can influence where it chooses to go next—and that choice can vary from animal to animal. Now, Michael Assaf from the Hebrew University of Jerusalem and his colleagues have developed a general model of animal foraging behavior that includes the influence of memory [1]. The model accurately describes the movement patterns of Egyptian fruit bats.

Many phenomena in statistical physics are considered Markovian—meaning that the behavior at each time interval is independent of the behavior at preceding intervals. But when an animal forages, its decisions are non-Markovian—its choice to return to a known abundant site is balanced against its desire to seek a new foraging spot.

Assaf and his colleagues accounted for this behavior through a nonlinear increase in the likelihood that an animal returns to a previously visited site versus the number of times that site has already been visited. When the team varied this nonlinear parameter, they observed a phase transition in the collective dynamics of the animals. Below a critical value of the parameter, they found that animals were less likely to return to the same sites. Above this critical value, animals returned to the same site over and over, ignoring all other spots.

Applying the model to data of Egyptian fruit bats, they found that the data best fit the model when the nonlinear parameter was at its critical-phase-transition value: the bats employ a balanced mix of the two strategies. The team think that their model could be relevant to other problems, such as the spread of viruses and the dynamics of languages.

–Katie McCormick

Katie McCormick is a freelance science writer based in Sacramento, California.


  1. O. Vilk et al., “Phase transition in a non-Markovian animal exploration model with preferential returns,” Phys. Rev. Lett. 128, 148301 (2022).

Subject Areas

Biological Physics

Related Articles

More Informative Together Than Apart
Biological Physics

More Informative Together Than Apart

The concurrent analysis of two measurements of a biochemical signaling network can provide more information than two separate probes of the datasets. Read More »

Brain Asymmetry Driven by Task Complexity
Complex Systems

Brain Asymmetry Driven by Task Complexity

A mathematical model shows how increased intricacy of cognitive tasks can break the mirror symmetry of the brain’s neural network. Read More »

Making Miniature Artificial Cilia
Fluid Dynamics

Making Miniature Artificial Cilia

Researchers have reproduced the wafting motion of hair-like structures on cell surfaces with tiny magnetic rods and a rotating magnetic field. Read More »

More Articles