Learning to Localize Sound with a Lizard Ear Model

Research output: Contribution to conference without publisher/journalConference abstract for conferenceResearchpeer-review


The peripheral auditory system of a lizard is strongly directional in the azimuth plane due to the acoustical coupling of the animal's two eardrums. This feature by itself is insufficient to accurately localize sound as the extracted directional information cannot be directly mapped to the sound direction, and neural post-processing becomes a necessity. We implement a model of the auditory system coupled with a Cerebellar Model Articulation Controller based neural network and employ online reinforcement learning to build an accurate representation of sound direction in simulation.
Original languageEnglish
Publication date2011
Number of pages2
Publication statusPublished - 2011
EventInternational Workshop on Bio-Inspired Robots - Ecole des Mines de Nantes, Nantes, France
Duration: 6. Apr 20118. Apr 2011


WorkshopInternational Workshop on Bio-Inspired Robots
LocationEcole des Mines de Nantes


Dive into the research topics of 'Learning to Localize Sound with a Lizard Ear Model'. Together they form a unique fingerprint.

Cite this