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 - - 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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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
Visual impairment examples
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From low vision to blindness
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
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
Low vision
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Electronic magnifiers Immersive systems
Main existing tools for accessibility: Magnifiers
Optical devices
Blindness
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Existing emerging therapeutic methods
Blindness
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Gene therapy Stem cells Cell transplantation Retinal prostheses
(electric, optoelectronic, optogenetic)
Existing emerging therapeutic methods
Processor Receiver Camera
Blindness
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Gene therapy Stem cells Cell transplantation Retinal prostheses
(electric, optoelectronic, optogenetic)
Existing emerging therapeutic methods
Processor Receiver Camera
Blindness
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Gene therapy Stem cells Cell transplantation Retinal prostheses
(electric, optoelectronic, optogenetic)
Existing emerging therapeutic methods
Processor Receiver Camera
Blindness
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Gene therapy Stem cells Cell transplantation Retinal prostheses
(electric, optoelectronic, optogenetic)
Existing emerging therapeutic methods
Photoreceptors
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
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
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
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
Software development
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Software development
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Producing software for biologists and physicians
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/
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/
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