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KEOpS

Algorithms for modeling the visual system: From natural vision to numerical applications.
Funder: French National Research Agency (ANR)Project code: ANR-10-INTB-0204
Funder Contribution: 296,053 EUR
Description

The survey of sensory biological solutions to the physics problems offers an inspiring wealthy source for the design of artificial or bio-inspired sensory systems. A better understanding of sensory coding may have fruitful applications, in the long term for people with low or impaired vision, while enactive vision is targeted in the short term. Furthermore, the whole corpus of produced knowledge is going to help better understanding how the brain works. A Chilean and French multidisciplinary group of research teams with expertise in sensory biology; mathematical modeling, computational neuroscience and computer vision proposes to associate their complementarities to address: The integration of non-standard behaviors from retinal neural sensors, dynamically rich, sparse and robust observed in natural conditions, into neural coding models and their translation into real, highly non-linear, bio-engineering artificial solutions. An interdisciplinary platform for translation from neuroscience into bioengineering will seek convergence from (i) experimental and (ii) analysis/models, with a fine articulation between biological inspired computation and brain neural (coding / decoding) signal processing. As a corollary, tackling modern problems in Neuroscience requires sophisticated electronic and computational equipment and provides for electronic or computer engineers and biologists in Chile and France the opportunity of new sectors of development; we thus expect as an outcome, industrial solutions, with high-level in design and implementation, performing beyond the present state of the art on degraded natural image sequences. At a concrete level, this project is going to provide new experimental facts about non-standard retinal cell behavior in natural scenarios, the application of high-level statistical methods and tools to the design of innovative visual operators, an open-source software implementing the previous concepts at the numerical level and an experimentation platform to benchmark the obtained results. Research topics: -1- Dynamics of non-standard behavior of retinal cells in front of natural image sequences. -2- Identifying non-linear mapping from natural images to non-standard sensor behavior. -3- Statistical analysis of neural coding response in vertebrate retina, the framework of statistical physics. -4- Computer design and numerical development of a non-standard bio-inspired early-vision front-end - 5- Study of the integration of these new dynamic sensory modules in a visual architecture and experimental study of their performances in the case of degraded visual sources This proposal fills the need of fostering a joint collaborative scientific and technological progress, for which France and Chile have a long tradition of cultural and scientific exchanges. However the challenge of doing science together is still pending. Until this year, all the available collaborative projects from CONICYT-CNRS-INRIA-INSERM-ECOS were for short visits and student exchanges. We see now an fantastic opportunity for doing "real" joint scientific project, and we also foresee that the area of STIC will have a tremendous impact on Education, S&T generation and transfer to a variety of areas like biomedicine, robotics and artificial intelligence.

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