A Model of Position-Invariant, Optic Flow Pattern-Selective Cells

  • Robert I. Pitts
  • V. Sundareswaran
  • Lucia M. Vaina


Two apparently inconsistent proposals for the functionality of MSTd cells exist, based either on optic flow patterns being represented by motion components 2–4, such as translation, expansion/contraction and rotation, or by a continuum of motion patterns that includes spirals6. A model, consisting of excitatory and inhibitory subunits, has been proposed3 to support the component view. Here, we used a neural network to show that a model of this type can be selective to the continuum of patterns6. We extended this model by adding inhibitory connections between units to account for the reported6 position-invariant characteristics of MSTd cells.


Receptive Field Optic Flow Local Motion Prefer Pattern Spiral Pattern 
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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Robert I. Pitts
    • 1
    • 2
  • V. Sundareswaran
    • 2
  • Lucia M. Vaina
    • 2
  1. 1.Department of Computer ScienceBoston UniversityBostonUSA
  2. 2.Brain and Vision Research Laboratory Department of Biomedical EngineeringBoston UniversityBoston

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