Predators build predictive models with echolocation to track prey

Bats can use echolocation to locate and identify prey, but also predict the prey's trajectory based on periodic echo snapshots.

@AdamHuntTT
Published Wed, Dec 1 2021 5:00 AM CST   |   Updated Tue, Dec 21 2021 8:04 PM CST

On November 30th, during the 181st Meeting of the Acoustical Society of America, Angeles Salles of Johns Hopkins University will discuss how bats use echolocation to find prey and track and predict its trajectory.

Predators build predictive models with echolocation to track prey 01 | TweakTown.com

Bats use echolocation to create echo snapshots of their environment, capturing it in discrete stages. They generate the sounds used for echolocation from their larynx or by clicking their tongues and process the echoes that return after sending out those noises. These noises are typically ultrasonic, so humans are unable to hear them.

Unlike predators that rely on visual cues, this allows bats to hunt in total darkness. Because they cannot track prey continuously as a predator would visually, the echo snapshots provide staggered sensory information on the prey as it moves through space. The bat's brain creates a predictive model that allows it to extrapolate the prey's trajectory based on its movement through the snapshots it receives.

"We think this is an innate capability, such as humans can predict where a ball will land when it is tossed at them. Once a bat has located a target, it uses the acoustic information to calculate the speed of the prey and anticipate where it will be next," said Salles.

Echolocating bats will amalgamate echos from prey to determine their size, distance, shape, and density, ultimately helping them identify what they are tracking and decide if they will pursue it.

"Prey with erratic flight maneuvers and clutter in the environment does lead to an accumulation of errors in their prediction. If the target does not appear where the bat expects it to, they will start searching again," said Salles.

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NEWS SOURCE:phys.org

Adam grew up watching his dad play Turok 2 and Age of Empires on a PC in his computer room, and learned a love for video games through him. Adam was always working with computers, which helped build his natural affinity for working with them, leading to him building his own at 14, after taking apart and tinkering with other old computers and tech lying around. Adam has always been very interested in STEM subjects, and is always trying to learn more about the world and the way it works.

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