Handbook of Modern Techniques in Auditory Cortex


Didier A. Depireux (Editor)
Inst. for Systems Research, University of Maryland, College Park, MD, USA

Mounya Elhilali, PhD (Editor)
Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA

Series: Otolaryngology Research Advances
BISAC: MED007000

A host of new techniques have recently been developed in the study and modeling of the auditory pathway. These techniques, made practical thanks to recent development in computer power and memory, are often referred to as “broadband methods”. These methods have allowed us to better understand how complex sounds such as music and running speech are encoded along the auditory pathway in a noise-robust fashion, and the resulting cortical models have been used in speech recognition, vehicle identification and speaker identification with great success.

These techniques were developed and refined over the last 20 years, and as a result, the published literature offers a scattered, and sometimes seemingly contradictory, account. The different stimuli used might give an impression of incompatibility between the different research groups, with no clear reason to choose one approach over the other. Recently, these methods were shown to be almost equivalent. This leads to a very confusing situation for a researcher who wants to apply these new techniques to his or her current research: depending on how far back the researcher goes, the literature will appear to change over, and even to be self-contradictory.

This book is the first to present, in a single volume, the different broadband methods, their different philosophies, their relative advantages and disadvantages, and a methodology that will help the would-be-practitioner get started, navigate the literature, and chose the method most appropriate to her needs. (Imprint: Nova Biomedical )



Table of Contents


Chapter I. The STRF: Its Origin, Evolution and Current Application
(Jos J. Eggermont, Departments of Physiology and Pharmacology and Department of Psychology, University of Calgary, Calgary, AB, Canada)

Chapter II. A Linear System’s View to the Concept of STRFs
(Mounya Elhilali, Shihab Shamma, Jonathan Z. Simon and Jonathan B. Fritz, Department of Electrical & Computer Engineering, Johns Hopkins University, Baltimore, MD, USA, and others)

Chapter III. Stimulus Choices for Spike-Triggered Receptive Field Analyses
(Craig A. Atencio and Christoph E. Schreiner, Coleman Memorial Laboratory, Department of Otolaryngology-Head and Neck Surgery,
and UCSF Center for Integrative Neuroscience, University of California, San Francisco, CA, USA)

Chapter IV. Uncovering Non-Linear Coding in the Primary Auditory Cortex
(Didier A. Depireux and Barak Shechter, Institute for Systems Research, University of Maryland, College Park, MD, USA)

Chapter V. Nonlinear Spectro-Temporal Modeling in the Auditory System
(V.Z. Marmarelis, Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA)

Chapter VI. Spectro-Temporal Receptive Fields and High-Order Stimulus-Response Functions: Methods, Validation and Physiological Mechanisms
(Stephen V. David, Michael Oliver, Jack L. Gallant and Frédéric E. Theunissen, Oregon Hearing Research Center, Oregon Health and Science University, OR, USA, and others)

Chapter VII. Probabilistic Methods for Linear and Multilinear Models
(Maneesh Sahani, Ross S. Williamson, Misha B. Ahrens and
Jennifer F. Linden, Ear Institute and Department of Neuroscience, Physiology & Pharmacology, University College London, London, UK and others)


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