DocumentCode :
1749217
Title :
A model for auditory localization in robotic systems based on the neurobiology of the inferior colliculus and analysis of HRTF data
Author :
Chun, Guy D. ; Caudell, Thomas P.
Author_Institution :
Dept. of Electr. Eng. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1107
Abstract :
The inferior colliculus (IC) is a midbrain structure containing a multitude of sensory related afferent (input) connections. In particular, there are ascending auditory inputs from both the lateral superior olive (LSO) and the medial superior olive (MSO) brainstem complexes representing binaural (both ears) amplitude difference and time difference of arrival signals respectively. There are also efferent (output) connections directly from the IC to the deeper layers of the superior colliculus (SC). The SC is involved in the generation of ocular motor signals for saccadic (quick, high velocity, involuntary) eye movement. This neurobiological evidence, along with a generalized Hough transform like approach for interpreting quantitative head related transfer function (HRTF) data, are; utilized in creating a model for IC auditory binaural processing for the purpose of sound localization. It is important to note we are not attempting an exact neurobiological equivalent function. We are using anatomical knowledge as a motivation for our model architecture
Keywords :
Hough transforms; hearing; neurophysiology; physiological models; robots; transfer functions; afferent connections; ascending auditory inputs; auditory binaural processing; auditory localization; brainstem complexes; generalized Hough transform like approach; inferior colliculus; lateral superior olive; medial superior olive; midbrain structure; neurobiology; ocular motor signals; quantitative head related transfer function; robotic systems; saccadic eye movement; sound localization; superior colliculus; Artificial neural networks; Biological system modeling; Biosensors; Data analysis; Ear; Frequency; Integrated circuit modeling; Robots; Sensor fusion; Time difference of arrival;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
ISSN :
1098-7576
Print_ISBN :
0-7803-7044-9
Type :
conf
DOI :
10.1109/IJCNN.2001.939515
Filename :
939515
Link To Document :
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