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Published byPeyton Cheatham Modified over 2 years ago

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

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

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3 Integration generates perception

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4 An integration of 1D and 2D features 2D 1D

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

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

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7 Form also matters!

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8 Diffusion is anisotropic and depends on form Huang, Albright and Stoner Adaptive surround modulation in cortical area MT Neuron (2007)

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

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

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

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12 Let me explain you the equations! Ok, no time for this now! But lets see some results!

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13 Considering Huang again

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14 Extrinsic and intrinsic junctions

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15 Extrinsic and intrinsic junctions No explicit junction detectors or stereo

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16 Lorenceau-Alais illusions No need for long range diffusion

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

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

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