From “ear” to there

A review of biorobotic models of auditory processing in lizards

Research output: Contribution to journalReviewResearchpeer-review

Abstract

The peripheral auditory system of lizards has been extensively studied, because of its remarkable directionality. In this paper we review the research that
has been performed on this system using a biorobotic approach. The various robotic implementations developed to date, both wheeled and legged, of the auditory model exhibit strong phonotactic performance for two types of steering mechanisms { a simple threshold decision model and Braitenberg sensorimotor cross-couplings. The Braitenberg approach removed the need for a decision model but produced relatively inefficient robot trajectories.
Introducing various asymmetries in the auditory model reduced the efficiency of the robot trajectories but successful phonotaxis was maintained. Relatively loud noise distractors degraded the trajectory efficiency and above-threshold noise resulted in unsuccessful phonotaxis. Machine learning techniques were applied to successfully compensate for asymmetries as well as noise distractors. Such techniques were also successfully used to construct a representation of auditory space, which is crucial for sound localisation while remaining stationary as opposed to phonotaxis-based localisation. The peripheral auditory model was futhermore found to adhere to an auditory scaling law governing the variation in frequency response with respect to physical ear separation.
Overall the research to date paves the way towards investigating the more fundamental topic of auditory meters versus auditory maps, and the existing robotic implementations can act as tools to compare the two approaches.
Original languageEnglish
JournalBiological Cybernetics
Volume110
Issue number4
Pages (from-to)303-317
ISSN0340-1200
DOIs
Publication statusPublished - Oct 2016

Fingerprint

Lizards
Noise
Robotics
Processing
Trajectories
Research
Robots
Scaling laws
Frequency response
Learning systems
Acoustic waves

Keywords

  • biorobotics; lizard peripheral auditory system; Braitenberg vehicles; sound localisation; phonotaxis

Cite this

@article{0602c49330614b9b94261ce03234d868,
title = "From “ear” to there: A review of biorobotic models of auditory processing in lizards",
abstract = "The peripheral auditory system of lizards has been extensively studied, because of its remarkable directionality. In this paper we review the research thathas been performed on this system using a biorobotic approach. The various robotic implementations developed to date, both wheeled and legged, of the auditory model exhibit strong phonotactic performance for two types of steering mechanisms { a simple threshold decision model and Braitenberg sensorimotor cross-couplings. The Braitenberg approach removed the need for a decision model but produced relatively inefficient robot trajectories.Introducing various asymmetries in the auditory model reduced the efficiency of the robot trajectories but successful phonotaxis was maintained. Relatively loud noise distractors degraded the trajectory efficiency and above-threshold noise resulted in unsuccessful phonotaxis. Machine learning techniques were applied to successfully compensate for asymmetries as well as noise distractors. Such techniques were also successfully used to construct a representation of auditory space, which is crucial for sound localisation while remaining stationary as opposed to phonotaxis-based localisation. The peripheral auditory model was futhermore found to adhere to an auditory scaling law governing the variation in frequency response with respect to physical ear separation.Overall the research to date paves the way towards investigating the more fundamental topic of auditory meters versus auditory maps, and the existing robotic implementations can act as tools to compare the two approaches.",
keywords = "biorobotics; lizard peripheral auditory system; Braitenberg vehicles; sound localisation; phonotaxis",
author = "Danish Shaikh and John Hallam and Jakob Christensen-Dalsgaard",
year = "2016",
month = "10",
doi = "10.1007/s00422-016-0701-y",
language = "English",
volume = "110",
pages = "303--317",
journal = "Biological Cybernetics",
issn = "0340-1200",
publisher = "Heinemann",
number = "4",

}

From “ear” to there : A review of biorobotic models of auditory processing in lizards. / Shaikh, Danish; Hallam, John; Christensen-Dalsgaard, Jakob.

In: Biological Cybernetics, Vol. 110, No. 4, 10.2016, p. 303-317.

Research output: Contribution to journalReviewResearchpeer-review

TY - JOUR

T1 - From “ear” to there

T2 - A review of biorobotic models of auditory processing in lizards

AU - Shaikh, Danish

AU - Hallam, John

AU - Christensen-Dalsgaard, Jakob

PY - 2016/10

Y1 - 2016/10

N2 - The peripheral auditory system of lizards has been extensively studied, because of its remarkable directionality. In this paper we review the research thathas been performed on this system using a biorobotic approach. The various robotic implementations developed to date, both wheeled and legged, of the auditory model exhibit strong phonotactic performance for two types of steering mechanisms { a simple threshold decision model and Braitenberg sensorimotor cross-couplings. The Braitenberg approach removed the need for a decision model but produced relatively inefficient robot trajectories.Introducing various asymmetries in the auditory model reduced the efficiency of the robot trajectories but successful phonotaxis was maintained. Relatively loud noise distractors degraded the trajectory efficiency and above-threshold noise resulted in unsuccessful phonotaxis. Machine learning techniques were applied to successfully compensate for asymmetries as well as noise distractors. Such techniques were also successfully used to construct a representation of auditory space, which is crucial for sound localisation while remaining stationary as opposed to phonotaxis-based localisation. The peripheral auditory model was futhermore found to adhere to an auditory scaling law governing the variation in frequency response with respect to physical ear separation.Overall the research to date paves the way towards investigating the more fundamental topic of auditory meters versus auditory maps, and the existing robotic implementations can act as tools to compare the two approaches.

AB - The peripheral auditory system of lizards has been extensively studied, because of its remarkable directionality. In this paper we review the research thathas been performed on this system using a biorobotic approach. The various robotic implementations developed to date, both wheeled and legged, of the auditory model exhibit strong phonotactic performance for two types of steering mechanisms { a simple threshold decision model and Braitenberg sensorimotor cross-couplings. The Braitenberg approach removed the need for a decision model but produced relatively inefficient robot trajectories.Introducing various asymmetries in the auditory model reduced the efficiency of the robot trajectories but successful phonotaxis was maintained. Relatively loud noise distractors degraded the trajectory efficiency and above-threshold noise resulted in unsuccessful phonotaxis. Machine learning techniques were applied to successfully compensate for asymmetries as well as noise distractors. Such techniques were also successfully used to construct a representation of auditory space, which is crucial for sound localisation while remaining stationary as opposed to phonotaxis-based localisation. The peripheral auditory model was futhermore found to adhere to an auditory scaling law governing the variation in frequency response with respect to physical ear separation.Overall the research to date paves the way towards investigating the more fundamental topic of auditory meters versus auditory maps, and the existing robotic implementations can act as tools to compare the two approaches.

KW - biorobotics; lizard peripheral auditory system; Braitenberg vehicles; sound localisation; phonotaxis

UR - http://link.springer.com/article/10.1007/s00422-016-0701-y

U2 - 10.1007/s00422-016-0701-y

DO - 10.1007/s00422-016-0701-y

M3 - Review

VL - 110

SP - 303

EP - 317

JO - Biological Cybernetics

JF - Biological Cybernetics

SN - 0340-1200

IS - 4

ER -