Evidence map›Paper›PMID 33596199›Full record

ArticlePLoS computational biology2021

A comprehensive computational model of animal biosonar signal processing.

Chen Ming, Stephanie Haro, Andrea Megela Simmons, James A Simmons

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Beamforming as a mechanism for azimuthal localization of targets by FM-echolocating big brown bats.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026
    Review
  2. Reflections on the neural processing of echoes for distance information in echolocating bats.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026
    Review
  3. Simulated target search by bats using biomimetic SCAT biosonar model.Frontiers in computational neuroscience · 2026
    Article
  4. Article
  5. Article
  6. Survey of temporal coding of sensory information.Frontiers in computational neuroscience · 2025
    Article
  7. Article
  8. Connexin36 RNA Expression in the Cochlear Nucleus of the Echolocating Bat, Eptesicus fuscus.Journal of the Association for Research in Otolaryngology : JARO · 2023
    Article
  9. Non-invasive auditory brainstem responses to FM sweeps in awake big brown bats.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2022
    Article
  10. Article
  11. Article
  12. 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

4 authors.

Chen MingDepartment of Neuroscience and Carney Institute for Brain Science, Brown University Providence, United States of America.
Stephanie HaroSpeech and Hearing Biosciences and Technology, Harvard University, Boston, United States of America.ORCID 0000-0002-4972-2632
Andrea Megela SimmonsDepartment of Cognitive, Linguistic and Psychological Sciences and Carney Institute for Brain Science, Brown University Providence, United States of America.ORCID 0000-0003-1353-8275
James A SimmonsDepartment of Neuroscience and Carney Institute for Brain Science, Brown University Providence, United States of America.ORCID 0000-0003-2052-0217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational models of animal biosonar seek to identify critical aspects of echo processing responsible for the superior, real-time performance of echolocating bats and dolphins in target tracking and clutter rejection. The Spectrogram Correlation and Transformation (SCAT) model replicates aspects of biosonar imaging in both species by processing wideband biosonar sounds and echoes with auditory mechanisms identified from experiments with bats. The model acquires broadband biosonar broadcasts and echoes, represents them as time-frequency spectrograms using parallel bandpass filters, translates the filtered signals into ten parallel amplitude threshold levels, and then operates on the resulting time-of-occurrence values at each frequency to estimate overall echo range delay. It uses the structure of the echo spectrum by depicting it as a series of local frequency nulls arranged regularly along the frequency axis of the spectrograms after dechirping them relative to the broadcast. Computations take place entirely on the timing of threshold-crossing events for each echo relative to threshold-events for the broadcast. Threshold-crossing times take into account amplitude-latency trading, a physiological feature absent from conventional digital signal processing. Amplitude-latency trading transposes the profile of amplitudes across frequencies into a profile of time-registrations across frequencies. Target shape is extracted from the spacing of the object's individual acoustic reflecting points, or glints, using the mutual interference pattern of peaks and nulls in the echo spectrum. These are merged with the overall range-delay estimate to produce a delay-based reconstruction of the object's distance as well as its glints. Clutter echoes indiscriminately activate multiple parts in the null-detecting system, which then produces the equivalent glint-delay spacings in images, thus blurring the overall echo-delay estimates by adding spurious glint delays to the image. Blurring acts as an anticorrelation process that rejects clutter intrusion into perceptions.

Indexed as

SoundAlgorithmsAnimalsAuditory PerceptionChiropteraComputer SimulationDolphinsEcholocationLightSignal Processing, Computer-AssistedSoftware

Identifiers

PMID33596199
PMCPMC7888678

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.