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HAL Id: hal-01896505

https://hal.inria.fr/hal-01896505

Submitted on 16 Oct 2018

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Biovision project-team

Bruno Cessac, Pierre Kornprobst, Marco Benzi, Ilian Caugant, Dora

Karvouniari, Evgenia Kartsaki, Selma Souihel

To cite this version:

Bruno Cessac, Pierre Kornprobst, Marco Benzi, Ilian Caugant, Dora Karvouniari, et al.. Biovision project-team: Biological vision: integrative models and vision aid systems for visually impaired people. Fête de la science, Oct 2018, Sophia-Antipolis, France. �hal-01896505�

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Biovision project-team

Team leader: Bruno Cessac, Inria Senior Scientist Project website: https://team.inria.fr/biovision Contact us: biovision-info@inria.fr Neuroscientists

Institut des Neurosciences de la Timone, Marseille

Laboratoire de Psychologie Cognitive, Marseille

University of Valparaiso, Chile

University of Newcastle, UK

Output: neural code Input: light Retina Visual Cortex Visual scene Normal perception Retina pathologies Age-macular degeneration Diabetic Retinopathy Simulation

The visual system

Physicians

CHU Pasteur 2, Service d’ophtalmologie, Nice

Institut de la Vision, Paris

Biological vision: integrative models and vision aid systems for visually impaired people

Theoreticians, modelers, computer scientists

Institut de Physique de Nice

Laboratoire J.A. Dieudonné, Nice

CIMFAV, AC3E Valparaiso, Chile 

University of Genoa, Italy

Main partners

Perception with pathologies

Retinitis pigmentosa

Limit cycles and Homoclinic Orbit

Iext (pA) N V (mV) 1 Hopf Saddle - Node Homoclinic Neutral Saddle * 0 -60 -10 250

Limit cycles and Homoclinic Orbit

Iext (pA) N V (mV) 1 Hopf Saddle - Node Homoclinic Neutral Saddle * 0 -60 -10 250 Main goals:

Model and simulate normal and degenerated retinas

Understanding how retina encodes motion (detection, anticipation)

Contribute new therapeutic strategies

Coord.: Bruno Cessac

Methodologies: Biophysical modelling, dynamical systems theory,

statistical physics, mean field, neural fields, computer simulations, …

Experiments about retinal waves (Courtesy E. Sernagor)

Research Axis 1

Modelling and understanding the early visual system in normal and pathological conditions

Biophysical modelling of the visual system

Mathematical analysis

•Retina during development, retinal waves (Dora Karvouniari PhD)

•Motion anticipation in the retina and beyond (Selma Souihel PhD)

Bipolar response Ganglion response

•Impact of retinal cells silencing on vision (Jenny Kartsaki PhD)

Limit cycles and homoclinic orbit

Bifurcation analysis

Eye movements

Main goals:

Study low vision pathologies at behavioral level

Design vision aid systems targeting main low vision needs

Design patient specific low vision simulators

Coord.: Pierre Kornprobst

Methodologies: Computer vision, virtual and augmented reality, partial

differential equations, dynamical systems, neural fields, …

Research Axis 2

Unveiling fundamental mechanisms of

low vision perception to leverage cross reality

Next area of interest

Reading aid system using virtual reality Modelling oculomotor strategies

Vision aid systems using augmented reality

(Marco Benzi and Iliann Caugant)

Reading speed: 30 words/min

Reading speed: 60 words/min

•Face recognition and enhancement (Josselin Gautier)

Gaze-contingent enhancement

Sequence of fixations

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