Theoretical and Experimental Studies of Auditory Processing

Abstract

Over the last year, work has progressed in the three basic areas that are emphasized in this proposal: (1) Peripheral auditory implementations; (2) Auditory cortical processing; (3) Theoretical analysis of neural network architectures. In the first topic, we have completed a detailed analysis and implementation of the early auditory model originally formulated in the previous grant period. Specifically, we have determined the underlying mechanisms that give rise to noise robustness and self-normalization in the early auditory spectra. A patented VLSI implementation of the model has been accomplished. In the second area of research, we have completed a survey of response properties in the anterior auditory field, especially with regard to the cells' responses to FM and single tone stimuli. Finally, in the third focus area, we have developed new recursive algorithms (mimicing recursive neural network architectures) for building systematically, approximate basis function representations. The new algorithms known as orthogonal matching pursuit algorithms are applicable to a wide class of problems, ranging from fitting radial basis function approximations to wavelet-bases models for transfer functions of linear systems.

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Document Details

Document Type
Technical Report
Publication Date
Mar 30, 1994
Accession Number
ADA278505

Entities

People

  • P.S.Krishnaprasad
  • Shihab A Shamma

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Air Platforms
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Computers
  • Computing System Architectures
  • Electrical Engineering
  • Engineering
  • Identification
  • Linear Systems
  • Maryland
  • Mean Field Theory
  • Network Architecture
  • Neural Networks
  • New York
  • Nonlinear Dynamics
  • Spectra
  • Transfer Functions
  • Universities

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Neural Network Machine Learning.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks