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Edge Detection and Motion Discrimination in the Cuneate Nucleus

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Artificial Neural Networks — ICANN 2002 (ICANN 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2415))

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Abstract

In this paper we investigate how the cuneate nucleus could perform edge detection as well as motion discrimination by means of a single layer of multi-threshold cuneothalamic neurons. A well-known center-surround receptive field organization is in charge of edge detection, whereas single neuronal processing integrates inhibitory and excitatory inputs over time to discriminate dynamic stimuli. The simulations show how lateral inhibition determines a sensitized state in neighbouring neurons which respond to dynamic patterns with a burst of spikes.

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References

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Author information

Authors and Affiliations

  1. Grupo de Sistemas Intelixentes (GSI) Departamento de Electrónica e Computación, Facultade de Físicas, Universidade de Santiago de Compostela, 15706, Santiago de Compostela, Spain

    Eduardo Sánchez & S. Barro

  2. Departamento de Fisioloxía, Facultade de Medicina, Universidade de Santiago de Compostela, 15706, Santiago de Compostela, Spain

    A. Canedo

Authors
  1. Eduardo Sánchez
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  2. S. Barro
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  3. A. Canedo
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Editor information

Editors and Affiliations

  1. ETS Informática, Universidad Autónoma de Madrid, 28049, Madrid, Spain

    José R. Dorronsoro

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© 2002 Springer-Verlag Berlin Heidelberg

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Sánchez, E., Barro, S., Canedo, A. (2002). Edge Detection and Motion Discrimination in the Cuneate Nucleus. In: Dorronsoro, J.R. (eds) Artificial Neural Networks — ICANN 2002. ICANN 2002. Lecture Notes in Computer Science, vol 2415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46084-5_33

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  • DOI: https://doi.org/10.1007/3-540-46084-5_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44074-1

  • Online ISBN: 978-3-540-46084-8

  • eBook Packages: Springer Book Archive

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