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

FACETS

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Motion Integration Modulated by Form Information

Guillaume S. Masson

INRIA Sophia AntipolisOdyssée project team

Émilien Tlapale Pierre Kornprobst INCM

CNRS, Marseille

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Integration generates perception

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Integration generates perception

An integration of 1D and 2D features

2D1D

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Diffusion generates perception

Our percept changes depending on the mask

Example of barberpole

6A simple « isotropic » integration can explain the percept

NOIs it only a matter of number of terminators?

2D motion features

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Form also matters!

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Form also matters!

Diffusion is “anisotropic” and depends on form

Huang, Albright and StonerAdaptive surround modulation in cortical area MTNeuron (2007)

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We propose a model of motion integration

V1

MTV2

I(x,y,t)

Recurrent models andForm modulation

Bayerl, Neumann, 2004Grossberg et al. 2007Beck Neumann, 2008…

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We propose a model of motion integration

V1

MTV2

I(x,y,t)

Recurrent models andForm modulation

Bayerl, Neumann, 2004Grossberg et al. 2007Beck Neumann, 2008…

Towards a simpler model

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We propose a model of motion integration

V2

I(x,y,t)A directional modulating of motion integration depending on luminosity

Recurrent models andForm modulation

Bayerl, Neumann, 2004Grossberg et al. 2007Beck Neumann, 2008…

Towards a simpler model

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Let me explain you the equations!

Ok, no time for this now! But let’s see some results!

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Considering Huang again

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Extrinsic and intrinsic junctions

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Extrinsic and intrinsic junctions

No explicit junction detectors or stereo

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Lorenceau-Alais illusions

No need for long range diffusion

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Diffusion du mouvement

Wallace, Stone et Masson (2005)

Simulating eye mouvements

Read-out horizontal et vertical

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Real sequences and GPU

Highly parallelizable system

Implemented on graphic cards (GPU)