Neural Signal and Neural Noise in Primary Auditory Cortex

Abstract

Information is represented in neurons by sequences of action potentials (spikes). 1.) The response of a neuron to a given stimulus exhibits variability. 2.) Standard model: an underlying time-varying probability function governs the firing of spikes, usually modeled as a non-stationary point process. 3.) We measure the response of cell to broadband sounds and derived Spectro-Temporal Receptive Fields (STRF), a linear, quantitative descriptor of how a cell responds to dynamic sounds. 4.) When predicting responses to a new sound, there is a difference between the response predicted by the STRF and the actual response. How much difference is due to non-linearity, and how much is expected from neural variability, such as a Poisson processes?

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA483556

Entities

People

  • David J. Klein
  • Didier A. Depireux
  • Jonathan Z. Simon
  • Shihab A. Shamma

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Communication Disorders
  • Computational Neuroscience
  • Computers
  • Electrical Engineering
  • Engineering
  • Firing Rate
  • Frequency
  • Frequency Domain
  • Information Theory
  • Maryland
  • Noise
  • Probability
  • Probability Distributions
  • Random Variables
  • Signal Processing
  • Statistical Analysis
  • Universities

Readers

  • Mathematical Modeling and Probability Theory.
  • Neural Network Machine Learning.
  • Speech Processing/Speech Recognition.