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Biological Cybernetics

, Volume 72, Issue 1, pp 81–92 | Cite as

Emergence of spatiotemporal receptive fields and its application to motion detection

  • Stefan Wimbauer
  • Wulfram Gerstner
  • J. Leo van Hemmen
Article

Abstract

A model of motion sensitivity as observed in some cells of area V1 of the visual cortex is proposed. Motion sensitivity is achieved by a combination of different spatiotemporal receptive fields, in particular, spatial and temporal differentiators. The receptive fields emerge if a Hebbian learning rule is applied to the network. Similar to a Linsker model the network has a spatially convergent, linear feedforward structure. Additionally, however, delays omnipresent in the brain are incorporated in the model. The emerging spatiotemporal receptive fields are derived explicitly by extending the approach of MacKay and Miller. The response characteristic of the network is calculated in frequency space and shows that the network can be considered as a spacetime filter for motion in one direction. The emergence of different types of receptive field requires certain structural constraints regarding the spatial and temporal arborisation. These requirements can be derived from the theoretical analysis and might be compared with neuroanatomical data. In this way an explicit link between structure and function of the network is established.

Keywords

Theoretical Analysis Visual Cortex Receptive Field Response Characteristic Learning Rule 
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 1994

Authors and Affiliations

  • Stefan Wimbauer
    • 1
  • Wulfram Gerstner
    • 1
  • J. Leo van Hemmen
    • 1
  1. 1.Physik-DepartmentTechnische Universität MünchenGarching bei MünchenGermany

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