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Neuromath kickoff meeting

2009-01-23

É. Tlapale1, G.S. Masson2, P. Kornprobst1

1 : Équipe Odyssée (INRIA, ENS, INPC)2 : Équipe DyVA (INCM/CNRS)

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Current work• We design a bio-inspired model of motion integration.

– Functional model (V1/MT)– Feedbacks (MT => V1)– Form modulation (V2)

• Why ?– To reproduce motion perception– And its dynamic

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Influence of form

Chopstick illusions

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Influence of form

Chopstick illusions

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Influence de la forme

Jonctions intrinsèques vs extrinsèques

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Multi-layer feedback model

Input : grey-level sequence

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Multi-layer feedback model

Local motion detectors: correlation or energy models

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Multi-layer feedback model

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Multi-layer feedback model

Lateral inhibition => winner-take-all

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Un modèle multi-couche rétroactif

Feedback (Bayerl & Neumann, 2004)

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Multi-layer feedback model

Anisotropic diffusion

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Form-modulated diffusion

We only use luminosity for now

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Reproducing the perception

Wallach (1935)

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Wallace, Stone et Masson (2005)

Reproducing the dynamic

Eye-movement like read-out

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Reproducing the neurobiology

Huang, Albright et Stoner (2007)

Notion of objects

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Future work• Reformulate our model in a neural field formalism

• And using a multi-layer variational formalism

• Propose our form-motion interaction as a synchronisation mechanism

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Journal clubs• Biology: Barthelemy et al. (2008)

• Models: Cesmely & Wang (2000)

• Technologies: Python, GPGPU