Models of the Neuronal Mechanisms of Target Localization of the Barn Owl

Abstract

The major concern of this year's research was modeling the neural systems of the barn owl that perform timing comparisons of sound at the two ears with microsecond accuracy. Models of neurons in the nucleus laminaris (NL) were developed. Analysis and computer simulations were performed that demonstrated that models of these neurons that incorporate simple neuronal biophysics cannot reproduce the observed behavior of laminaris neurons. A model incorporating an abstract resonance mechanism could reproduce the experimental phenomena. Work on this project involves collaboration with the Princeton University subcontractor, who has also approached this problem from another point of view. He has developed a model neuron incorporating active channels that can reproduce the observed behavior. More analysis of the behavior of the channels will clarify their signal processing properties. Several experimental results relevant to last year's research have also been reported by scientists in the Konishi laboratory at CalTech. Changes are needed in some of the models developed last year to incorporate these results and to investigate their functional significance.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1991
Accession Number
ADA244322

Entities

People

  • John Pearson

Organizations

  • Sarnoff Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Birds
  • Brain
  • Cells
  • Computational Science
  • Delay Lines
  • Detection
  • Differential Equations
  • Equations
  • Firing Rate
  • Frequency
  • Information Systems
  • Medical Personnel
  • Microsecond Time
  • Neurosciences
  • Power Spectra
  • Signal Processing
  • Synapses

Fields of Study

  • Biology

Readers

  • Computational Modeling and Simulation
  • Neuroscience
  • Research Science/Academic Research

Technology Areas

  • Biotechnology