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Neural Systems for Motion Analysis: Single Neuron and Network Approaches

  • Terry L. Huntsberger
  • John R. Rose
  • Dudley Girard
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 42)

Abstract

This chapter employs large-scale computer simulations to investigate properties of the visual cortex, in particular the motion pathway. We have modeled the direction and orientation sensitive portions of the pathway using a biological model of the dendritic structure of a neuron and with a Jordan-Elman recurrent network. While biologically motivated, our study is not meant to imply a functional underlying architecture based on our simulations, but to provide a computational system for possible use in machine vision applications. The construction and simulation of large-scale neuronal networks using simplified models is governed by the tradeoff between biological fidelity for a full model and the decrease in computational complexity for the simplified one.

Keywords

Apparent Motion Dendritic Structure Lateral Geniculate Nucleus Sensor Fusion Input Field 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Terry L. Huntsberger
    • 1
  • John R. Rose
    • 1
  • Dudley Girard
    • 1
  1. 1.Intelligent Systems Laboratory, Department of Computer ScienceUniversity of South CarolinaColumbiaUSA

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