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Central Auditory Processing and Neural Modeling

  • Paul W. F. Poon
  • John F. Brugge

Table of contents

  1. Front Matter
    Pages i-x
  2. Josef Syka, Jiri Popelář, Eugen Kvašňák, Daniel Šuta
    Pages 1-11
  3. Paul W. F. Poon, T. W. Chiu, Xinde Sun
    Pages 13-22
  4. Israel Nelken, Yaron Rotman, Omer Bar Yosef
    Pages 43-53
  5. Chaug-Ching Huang, Jhing-Fa Wang, Chung-Hsien Wu, Jau-Yien Lee
    Pages 71-76
  6. Tom C. T. Yin, Luis C. Populin
    Pages 117-127
  7. Richard A. Andersen, Alexander Grunewald, Jennifer F. Linden
    Pages 129-138
  8. John C. Middlebrooks
    Pages 139-148
  9. Richard A. Reale, John F. Brugge, Joseph E. Hind
    Pages 149-160
  10. Tzyy-Ping Jung, Scott Makeig, Anthony J. Bell, Terrence J. Sejnowski
    Pages 189-197
  11. Yifat Prut, Moshe Abeles
    Pages 199-210
  12. George L. Gerstein, Marc J. Bloom, Pedro E. Maldonado
    Pages 211-224
  13. James A. Simmons, Michael J. Ferragamo, Tim Haresign, Steven P. Dear, Mark I. Sanderson
    Pages 247-260
  14. Back Matter
    Pages 276-282

About this book

Introduction

The full power of combining experiment and theory has yet to be unleashed on studies of the neural mechanisms in the brain involved in acoustic information processing. In recent years, enormous amounts of physiological data have been generated in many laboratories around the world, characterizing electrical responses of neurons to a wide array of acoustic stimuli at all levels of the auditory neuroaxis. Modern approaches of cellular and molecular biology are leading to new understandings of synaptic transmission of acoustic information, while application of modern neuro-anatomical methods is giving us a fairly comprehensive view ofthe bewildering complexity of neural circuitry within and between the major nuclei of the central auditory pathways. Although there is still the need to gather more data at all levels of organization, a ma­ jor challenge in auditory neuroscience is to develop new frameworks within which existing and future data can be incorporated and unified, and which will guide future laboratory ex­ perimentation. Here the field can benefit greatly from neural modeling, which in the central auditory system is still in its infancy. Indeed, such an approach is essential if we are to address questions related to perception of complex sounds including human speech, to the many di­ mensions of spatial hearing, and to the mechanisms that underlie complex acoustico-motor behaviors.

Keywords

brain cognition cortex information processing neural mechanisms neural modeling neural networks neurons neuroscience perception

Editors and affiliations

  • Paul W. F. Poon
    • 1
  • John F. Brugge
    • 2
  1. 1.National Cheng Kung UniversityTainanTaiwan
  2. 2.University of WisconsinMadisonUSA

Bibliographic information