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Simultaneous Parallel Processing of Object and Position by Temporal Correlation

  • Luis F. Lago-Fernández
  • Gustavo Deco
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2085)

Abstract

There is experimental evidence forthe separate processing of different features that belong to a complex visual stimulus in different brain areas. The temporal correlation betw een neurons responding to each of these features is often thought to be the binding element. In this paper we present a neural netw ork that separately processes objects and positions, in whic hthe association between each stimulus and its spatial location is done by means of temporal correlation. Pools of neurons responding to the stimulus and its corresponding location tend to synchronize their responses, while other stimuli and other locations tend to activate in different time frames.

Keywords

Visual Search Temporal Correlation Input Current Stimulus Space Recurrent Connection 
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 2001

Authors and Affiliations

  • Luis F. Lago-Fernández
    • 1
    • 2
  • Gustavo Deco
    • 1
  1. 1.Siemens AG, Corporate TechnologyMunichGermany
  2. 2.E.T.S. de Ingeniería Inform’ atica, Universidad Aut’ onoma de MadridMadridSpain

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