Literature DB >> 7963018

Sensorimotor model of bat echolocation and prey capture.

R Kuc1.   

Abstract

A model of the bat sensorimotor system is developed using acoustics, signal processing, and control theory to illustrate the fundamental issues in accomplishing prey capture with echolocation. This model indicates that successful nonpredictive tracking of an ideal prey can be accomplished with a very simple system. Circular apertures approximate the mouth and ears for deriving acoustic beam patterns, using the big brown bat Eptesicus fuscus as a model. Fundamental and overtone frequency components in the emissions allow two simultaneous acoustic beams to be defined. A pair of nonlinear, time-variable, sampled-data controllers alter the bat's heading by applying yaw and pitch heading corrections. The yaw correction attempts to position the prey in the midsagittal plane by nulling the interaural intensity difference of the fundamental component. The pitch correction compares the intensities of the overtone and fundamental components and acts to null their difference. By initiating pitch correction when the overtone intensity first exceeds that of the fundamental, the ambiguity problem is solved and the prey is directed to the capture region. Simulations of passive prey capture indicate that the capture probability decreases as the prey speed increases. Both quick and sluggish prey are considered, with sluggish prey found to be caught with slightly better efficiency. The magnitude of the prey's lateral motion just prior to capture is observed to be an important factor determining capture. The presence of a blind stage is considered, during which the interference of the emission with the echo is assumed to disrupt any sonar information. The presence of such a blind stage is found to have negligible effect on capture efficiency.

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Year:  1994        PMID: 7963018     DOI: 10.1121/1.410140

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  6 in total

1.  Echolocating bats use a nearly time-optimal strategy to intercept prey.

Authors:  Kaushik Ghose; Timothy K Horiuchi; P S Krishnaprasad; Cynthia F Moss
Journal:  PLoS Biol       Date:  2006-04-18       Impact factor: 8.029

2.  A sensory-motor control model of animal flight explains why bats fly differently in light versus dark.

Authors:  Nadav S Bar; Sigurd Skogestad; Jose M Marçal; Nachum Ulanovsky; Yossi Yovel
Journal:  PLoS Biol       Date:  2015-01-28       Impact factor: 8.029

3.  A sensorimotor model shows why a spectral jamming avoidance response does not help bats deal with jamming.

Authors:  Omer Mazar; Yossi Yovel
Journal:  Elife       Date:  2020-07-28       Impact factor: 8.140

4.  Analysis of echolocation behavior of bats in "echo space" using acoustic simulation.

Authors:  Yu Teshima; Yasufumi Yamada; Takao Tsuchiya; Olga Heim; Shizuko Hiryu
Journal:  BMC Biol       Date:  2022-03-14       Impact factor: 7.431

5.  Object localization using a biosonar beam: how opening your mouth improves localization.

Authors:  G Arditi; A J Weiss; Y Yovel
Journal:  R Soc Open Sci       Date:  2015-08-26       Impact factor: 2.963

6.  Sensorimotor Model of Obstacle Avoidance in Echolocating Bats.

Authors:  Dieter Vanderelst; Marc W Holderied; Herbert Peremans
Journal:  PLoS Comput Biol       Date:  2015-10-26       Impact factor: 4.475

  6 in total

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