Literature DB >> 1597609

Perception of structured phantom targets in the echolocating bat, Megaderma lyra.

S Schmidt1.   

Abstract

Bats can discriminate among objects with different texture using echolocation. The mechanisms involved in texture discrimination are unknown. In real echoes reflected from three-dimensional objects, the spatial structure of the target creates a specific temporal and spectral pattern. In the experiments described here, simply structured phantom targets mimicking echoes reflected from an object with two parallel planes were generated by adding two differentially delayed copies of the bat's vocalizations. The discrimination performance of Megaderma lyra was studied in a two-alternative, forced-choice experiment using phantom targets with different internal delays and relative amplitudes of the two copies. When the reference target to which the bats were trained was presented, targets differing in internal delay by about 1 microseconds were discriminated. However, discrimination performance was not a globally monotonic function of the internal delay of the unrewarded target. When both targets presented in a trial differed from the reference, the bats still preferred one of them. Changes in overall level of the phantom target echo had little effect on performance; however, performance dropped considerably if only one of the two copies in an echo was attenuated. A model framework is introduced to account for these results. Models based on frequency processing yield better approximations than does a model based on time differences. The model based on spectral correlation gives a unified description of all the data. Although time domain models for texture discrimination cannot be generally refuted, the results presented here show that the discrimination of target surface structure can be explained as a discrimination of echo spectra.

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Year:  1992        PMID: 1597609     DOI: 10.1121/1.403654

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


  16 in total

1.  Computational analyses in cognitive neuroscience: in defense of biological implausibility.

Authors:  I E Dror; D P Gallogly
Journal:  Psychon Bull Rev       Date:  1999-06

2.  Object classification by echolocation in nectar feeding bats: size-independent generalization of shape.

Authors:  D von Helversen
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2004-04-21       Impact factor: 1.836

Review 3.  Complex echo classification by echo-locating bats: a review.

Authors:  Yossi Yovel; Matthias O Franz; Peter Stilz; Hans-Ulrich Schnitzler
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2010-09-17       Impact factor: 1.836

4.  Horseshoe bats make adaptive prey-selection decisions, informed by echo cues.

Authors:  Klemen Koselj; Hans-Ulrich Schnitzler; Björn M Siemers
Journal:  Proc Biol Sci       Date:  2011-03-02       Impact factor: 5.349

5.  Echolocation behaviour of Megaderma lyra during typical orientation situations and while hunting aerial prey: a field study.

Authors:  Sabine Schmidt; Wipula Yapa; Jan-Eric Grunwald
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2010-06-26       Impact factor: 1.836

6.  Adaptive behavior for texture discrimination by the free-flying big brown bat, Eptesicus fuscus.

Authors:  Ben Falk; Tameeka Williams; Murat Aytekin; Cynthia F Moss
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2011-01-19       Impact factor: 1.836

7.  A comprehensive computational model of animal biosonar signal processing.

Authors:  Chen Ming; Stephanie Haro; Andrea Megela Simmons; James A Simmons
Journal:  PLoS Comput Biol       Date:  2021-02-17       Impact factor: 4.475

Review 8.  Evidence for perception of fine echo delay and phase by the FM bat, Eptesicus fuscus.

Authors:  J A Simmons
Journal:  J Comp Physiol A       Date:  1993-05       Impact factor: 1.836

9.  Echo-delay resolution in sonar images of the big brown bat, Eptesicus fuscus.

Authors:  J A Simmons; M J Ferragamo; C F Moss
Journal:  Proc Natl Acad Sci U S A       Date:  1998-10-13       Impact factor: 11.205

10.  Size does not matter: size-invariant echo-acoustic object classification.

Authors:  Daria Genzel; Lutz Wiegrebe
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2012-11-24       Impact factor: 1.836

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