Visual pattern classification by neural fields - Archive ouverte HAL Access content directly
Conference Papers Year : 2009

Visual pattern classification by neural fields

Mauricio Cerda
  • Function : Author
  • PersonId : 843075
Bernard Girau


The recognition of visual motion patterns such as walking, fighting and face gestures among others, is remarkably efficient in humans and many other species. Experiments have already given some clues about the nature of the internal mechanisms of recognition. These experiments are based on point-light stimuli in psychophysics, electro-physiological data and functional imaging techniques. In this work, we study some of the identified properties and we propose to model them by means of asymmetric neural fields.
Fichier principal
Vignette du fichier
neurocomp09_cerdav6.pdf (105.79 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-00402057 , version 1 (06-07-2009)


  • HAL Id : hal-00402057 , version 1


Mauricio Cerda, Bernard Girau. Visual pattern classification by neural fields. Neurocomp 2009, Sep 2009, Bordeaux, France. pp.P-8. ⟨hal-00402057⟩
214 View
83 Download


Gmail Facebook Twitter LinkedIn More