• 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