Evidence map›Paper›PMID 33139550›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Echolocating bats accumulate information from acoustic snapshots to predict auditory object motion.

Angeles Salles, Clarice Anna Diebold, Cynthia F Moss

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Review
  2. Unpredictable prey motion shapes behavior across time scales.The Journal of experimental biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Sensory error drives fine motor adjustment.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Bat target tracking strategies for prey interception.Communicative & integrative biology · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Angeles SallesDepartment of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218 angiesalles@gmail.com.ORCID 0000-0002-5726-4256
Clarice Anna DieboldDepartment of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218.ORCID 0000-0003-3678-3003
Cynthia F MossDepartment of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218.ORCID 0000-0001-6916-0000

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlike other predators that use vision as their primary sensory system, bats compute the three-dimensional (3D) position of flying insects from discrete echo snapshots, which raises questions about the strategies they employ to track and intercept erratically moving prey from interrupted sensory information. Here, we devised an ethologically inspired behavioral paradigm to directly test the hypothesis that echolocating bats build internal prediction models from dynamic acoustic stimuli to anticipate the future location of moving auditory targets. We quantified the direction of the bat's head/sonar beam aim and echolocation call rate as it tracked a target that moved across its sonar field and applied mathematical models to differentiate between nonpredictive and predictive tracking behaviors. We discovered that big brown bats accumulate information across echo sequences to anticipate an auditory target's future position. Further, when a moving target is hidden from view by an occluder during a portion of its trajectory, the bat continues to track its position using an internal model of the target's motion path. Our findings also reveal that the bat increases sonar call rate when its prediction of target trajectory is violated by a sudden change in target velocity. This shows that the bat rapidly adapts its sonar behavior to update internal models of auditory target trajectories, which would enable tracking of evasive prey. Collectively, these results demonstrate that the echolocating big brown bat integrates acoustic snapshots over time to build prediction models of a moving auditory target's trajectory and enable prey capture under conditions of uncertainty.

Indexed as

AcousticsAcoustic StimulationAnimalsAuditory PathwaysAuditory PerceptionBiosensing TechniquesBrainChiropteraEcholocationFemaleHeadInsectaMaleOrientationPredatory BehaviorSoundauditory localizationbiosonarEptesicus fuscuspredictive modelsprey tracking

Identifiers

PMID33139550
PMCPMC7682551

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.