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FACETS

These slides correspond to a short presentation (5 minutes) given at Neurocomp 2008. The presentation of the work starts slides 9. FACETS. Motion Integration Modulated by Form Information. É milien Tlapale Pierre Kornprobst. Guillaume S. Masson. INCM CNRS, Marseille.

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FACETS

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  1. These slides correspond to a short presentation (5 minutes) given at Neurocomp 2008. The presentation of the work starts slides 9. FACETS

  2. Motion Integration Modulated by Form Information ÉmilienTlapalePierreKornprobst Guillaume S.Masson INCM CNRS, Marseille INRIA Sophia Antipolis Odyssée project team

  3. Integration generates perception

  4. Integration generates perception An integration of 1D and 2D features 2D 1D

  5. Diffusion generates perception Our percept changes depending on the mask Example of barberpole

  6. A simple « isotropic » integration can explain the percept 2D motion features • NO Is it only a matter of number of terminators?

  7. Form also matters!

  8. Form also matters! Huang, Albright and Stoner Adaptive surround modulation in cortical area MT Neuron (2007) Diffusion is “anisotropic” and depends on form

  9. We propose a model of motion integration MT Recurrent models and Form modulation Bayerl, Neumann, 2004 Grossberg et al. 2007 Beck Neumann, 2008 … V2 V1 I(x,y,t)

  10. We propose a model of motion integration MT Recurrent models and Form modulation Bayerl, Neumann, 2004 Grossberg et al. 2007 Beck Neumann, 2008 … V2 V1 Towards a simpler model I(x,y,t)

  11. We propose a model of motion integration Recurrent models and Form modulation Bayerl, Neumann, 2004 Grossberg et al. 2007 Beck Neumann, 2008 … V2 Towards a simpler model A directional modulating of motion integration depending on luminosity I(x,y,t)‏

  12. Let me explain you the equations! But let’s see some results! Ok, no time for this now! 

  13. Considering Huang again

  14. Extrinsic and intrinsic junctions

  15. Extrinsic and intrinsic junctions No explicit junction detectors or stereo

  16. Lorenceau-Alais illusions No need for long range diffusion

  17. Diffusion du mouvement Simulating eye mouvements Read-out horizontal et vertical Wallace, Stone et Masson (2005)‏

  18. Real sequences and GPU Highly parallelizable system Implemented on graphic cards (GPU)

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