Visual information processing: neural coding and vision restoration

IdV



Axe 3 : Réseaux neuronaux, modélisation et intelligence artificielle

Team research topics:

Our group studies retinal information processing in normal and pathological conditions and investigates how pathological conditions can be prevented. We also develop and test new therapeutic vision restoration strategies.

Research in the past decade has shown that the retina performs many complex computations, and we still have to understand how the light impinging the photoreceptors is transformed by the retinal network into a set of spike trains that are sent decoded by the brain. This retinal circuit bears some similarities to the sensory areas of the brain, thus, studying the retina can provide a window onto the brain function. Recent clinical trials indicate that the retinal circuit is capable of transferring useful visual information to the brain even in blind patients who have lost their photoreceptors. 

Measuring retinal function in normal and pathological conditions provides clues for intervening in degenerative processes and restoring visual information processing.

Main techniques used: 

Our work focuses on cellular and animal models of retinal diseases. We use multielectrode arrays for in vitro electrophysiological recordings, complex visual stimulations, and computational models of artificial intelligence. We explore neuroprotective mechanisms and visual restoration techniques such as optogenetic therapy and innovative prostheses.

Address :
17 Rue Moreau, 75012, Paris

Team leader :
Olivier Marre
Name of co-team leader :

Administrative Contact Name :


Website : Cliquez ici
Key words : #modélisation #computationnelle #électrophysiologie #optogénétique #codage #visuel #circuit #rétinien #computational #modeling #electrophysiology #optogenetics #visual #coding #retinal
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