Biovision team 2 Retina Visual cortex 3 Retina Visual cortex 3 - - PowerPoint PPT Presentation

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Biovision team 2 Retina Visual cortex 3 Retina Visual cortex 3 - - PowerPoint PPT Presentation

Biovision team 2 Retina Visual cortex 3 Retina Visual cortex 3 Retina Visual cortex 3 Retina Visual cortex 3 285 millions visually impaired people Retina Visual cortex 3 285 millions visually impaired people Retina Visual cortex


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Biovision team

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Retina Visual cortex

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Retina Visual cortex

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Retina Visual cortex

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Retina Visual cortex

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Retina Visual cortex

285 millions visually impaired people

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Retina Visual cortex

285 millions visually impaired people

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New scientific and technological challenges New paradigms to understand vision New technological breakthroughs New technics are emerging to help people use their remaining vision, slow down or even reverse vision loss

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Visual impairment examples

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From low vision to blindness

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Visual impairment examples

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Glaucoma (ganglion cells and the optic nerve degenerate) Retinitis Pigmentosa (rods photoreceptors degenerate) Age Related Macular Degeneration (macula cones degenerate) Degenerative myopia (major alteration of the shape or globe of the eye) From low vision to blindness

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Visual impairment examples

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Glaucoma (ganglion cells and the optic nerve degenerate) Retinitis Pigmentosa (rods photoreceptors degenerate) Age Related Macular Degeneration (macula cones degenerate) Degenerative myopia (major alteration of the shape or globe of the eye) From low vision to blindness

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Low vision

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Electronic magnifiers Immersive systems

Main existing tools for accessibility: Magnifiers

Optical devices

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Blindness

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Existing emerging therapeutic methods

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Blindness

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Gene therapy Stem cells Cell transplantation Retinal prostheses

(electric, optoelectronic, optogenetic)

Existing emerging therapeutic methods

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Processor Receiver Camera

Blindness

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Gene therapy Stem cells Cell transplantation Retinal prostheses

(electric, optoelectronic, optogenetic)

Existing emerging therapeutic methods

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Processor Receiver Camera

Blindness

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Gene therapy Stem cells Cell transplantation Retinal prostheses

(electric, optoelectronic, optogenetic)

Existing emerging therapeutic methods

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Processor Receiver Camera

Blindness

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Gene therapy Stem cells Cell transplantation Retinal prostheses

(electric, optoelectronic, optogenetic)

Existing emerging therapeutic methods

Photoreceptors

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Processor Receiver Camera

Blindness

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Gene therapy Stem cells Cell transplantation Retinal prostheses

(electric, optoelectronic, optogenetic)

Existing emerging therapeutic methods

Photoreceptors Ganglion cells

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High scientific, technologic, societal, economic impact New institutes, start-ups, companies However, fundamental issues remain unresolved

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Helping visually impaired people

Biovision team

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High scientific, technologic, societal, economic impact New institutes, start-ups, companies However, fundamental issues remain unresolved

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Helping visually impaired people

Biovision team

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Neuroscientists and physicians High scientific, technologic, societal, economic impact New institutes, start-ups, companies However, fundamental issues remain unresolved

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Helping visually impaired people

Biovision team

Biophysical modelling Mathematical analysis Computer vision Computational neuroscience

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Fundamental research

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Scene analysis Scene enhancement

(dependent on pathology)

Fundamental research

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Methods from computer vision and graphics Scene analysis Scene enhancement

(dependent on pathology)

Fundamental research

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Methods from computer vision and graphics Retina processing Encoding Stimulation Scene analysis Scene enhancement

(dependent on pathology)

Fundamental research

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Biophysical modeling Information compression Retina emulation Methods from computer vision and graphics Retina processing Encoding Stimulation Scene analysis Scene enhancement

(dependent on pathology)

Fundamental research

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Biophysical modeling Information compression Retina emulation Methods from computer vision and graphics Retina processing Encoding Stimulation Scene analysis Scene enhancement

(dependent on pathology)

Feedback Perception

Fundamental research

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Software development

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Software development

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Producing software for biologists and physicians

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Software development

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Producing software for biologists and physicians

ADT, ANR KEOPS, FP7 Renvision

ENAS: A software for analysing spike trains at single cell and population levels

Cessac et al. (in preparation)

https://enas.inria.fr

Virtual Retina: A large scale simulator of biological retina

Wohrer, Kornprobst (2007)

http://www-sop.inria.fr/neuromathcomp/public/software/virtualretina/

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Software development

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Producing software for biologists and physicians

ADT, ANR KEOPS, FP7 Renvision

ENAS: A software for analysing spike trains at single cell and population levels

Cessac et al. (in preparation)

https://enas.inria.fr

Virtual Retina: A large scale simulator of biological retina

Wohrer, Kornprobst (2007)

http://www-sop.inria.fr/neuromathcomp/public/software/virtualretina/

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Software development

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Producing software for biologists and physicians New vision-aid systems for patients with impaired vision

ADT, ANR KEOPS, FP7 Renvision

ENAS: A software for analysing spike trains at single cell and population levels

Cessac et al. (in preparation)

https://enas.inria.fr

Virtual Retina: A large scale simulator of biological retina

Wohrer, Kornprobst (2007)

http://www-sop.inria.fr/neuromathcomp/public/software/virtualretina/

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University of Newcastle University of Edinburgh

Receptive fields estimation

RENVISION EU project (ends 2016)

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University of Newcastle University of Edinburgh

Receptive fields estimation

RENVISION EU project (ends 2016)

Local edge? Anything moving?

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New variational approaches for receptive estimation (ongoing) New method for stimuli design (started) Enas implementation

  • A. Drogoul

Receptive fields estimation

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ADT (2012-2014) ANR KEOPS (2011-2015) RENVISION project (ends 2016)

Spike coding

University of Valparaiso Institut de la vision

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ADT (2012-2014) ANR KEOPS (2011-2015) RENVISION project (ends 2016)

Spike coding

University of Valparaiso Institut de la vision

Time (ms) Neurons

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Spike coding

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How do stimuli and connectivity shape the collective retina response?

Spike coding

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How do stimuli and connectivity shape the collective retina response? Handling spatio-temporal correlations and non-stationary response to stimuli

Spike coding

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How do stimuli and connectivity shape the collective retina response? Handling spatio-temporal correlations and non-stationary response to stimuli Experimental studies and analysis

Spike coding

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How do stimuli and connectivity shape the collective retina response? Handling spatio-temporal correlations and non-stationary response to stimuli Experimental studies and analysis Enas implementation

Spike coding

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Application to retina prosthesis?

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Application to retina prosthesis?

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Application to retina prosthesis?

64 pixels - Argus II

Adapted from Institut de la Vision

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Application to retina prosthesis?

64 pixels - Argus II

Adapted from Institut de la Vision

256 pixels

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Application to retina prosthesis?

64 pixels - Argus II

Adapted from Institut de la Vision

256 pixels 1024 pixels

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Application to retina prosthesis?

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Application to retina prosthesis?

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Scene transforms in computer vision and graphics

Designed for artistic purposes

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Scene transforms in computer vision and graphics

Example: Image and video quality improvements: Equalisation, gamma correction, tone mapping, edge enhancement, image decomposition, cartoonization

Winnemoller et al. (2012)

Source XDoG XDoG Thresh.

Designed for artistic purposes

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Scene transforms in computer vision and graphics

Example: Image and video quality improvements: Equalisation, gamma correction, tone mapping, edge enhancement, image decomposition, cartoonization

Winnemoller et al. (2012)

Source XDoG XDoG Thresh.

Designed for artistic purposes For retina prosthesis and low vision

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Scene transforms in computer vision and graphics

For retina prosthesis and low vision

Example of problem Disambiguate what comes from structure and what comes from illumination

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Scene transforms in computer vision and graphics

For retina prosthesis and low vision

Example of problem Disambiguate what comes from structure and what comes from illumination

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Biophysical modeling Information compression Retina emulation Methods from computer vision and graphics Retina processing Encoding Stimulation Scene analysis Scene enhancement

(dependent on pathology)

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Biophysical modeling Information compression Retina emulation Methods from computer vision and graphics Retina processing Encoding Stimulation Scene analysis Scene enhancement

(dependent on pathology)

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Biophysical modeling Information compression Retina emulation Methods from computer vision and graphics Retina processing Encoding Stimulation Scene analysis Scene enhancement

(dependent on pathology)

Feedback Perception

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ANR Trajectory (M2+PhD, 2015-2018)

  • K. Medathati PhD (2013-2016)

Synergistic model of motion processing

INT Institut de la Vision University of Valparaiso ULM University

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ANR Trajectory (M2+PhD, 2015-2018)

  • K. Medathati PhD (2013-2016)

Synergistic model of motion processing

INT Institut de la Vision University of Valparaiso ULM University

Scaling up models rooted in experimental biology (neurophysiology, psychophysics, etc.) leading to an exciting synergy between studies in computer vision and biological vision.

(a)

Retina V1 MT V2 MST V4 LGN

Local m and surfa

Dorsal stream Motion processing Ventral stream Form processing

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Fundamental research

Biovision team

Advances in our understanding of the visual system New methods for low vision people New paradigms in computer vision

Multi-scale biophysical modelling Theoretical tools for models analysis Simulations tools New paradigms in vision

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Transfert

Biovision team

Retina simulator platform reproducing the collective retinal response for normal and impaired retinas Vision-aid systems for patients with impaired vision Therapeutic strategies for blind patients

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Thank you

https://team.inria.fr/biovision