Exploring the functional structure of the retIna with closed loop stimulation. A physiological and computational approach.

About the Project

This project aims to better understand the retina’s response to complex visual stimuli and unravel the role played by the lateral inter-neurons network (amacrine cells) in this response. For this, we will adopt an experimental methodology using real-time control and feedback loop to adapt, in real-time, visual stimulations to recorded retinal cell responses. The experiments will be done in Valparaiso (Chile). The Biovision team will develop the control software and extrapolate results at Inria Sophia-Antipolis based on its recent theoretical advances in retina modelling. This is, therefore, a transdisciplinary and international project at the interface between biology, computer sciences and mathematical neurosciences. Beyond a better understanding of its network structure’s role in shaping the retina’s response to complex spatiotemporal stimuli, this project could potentially impact methods for diagnosing neurodegenerative diseases like Alzheimer’s.

Principal Investigator
Project's partner
  • Adrian Palacios, Valparaiso University, Center of Neuroscience, Valparaiso, Chili
Duration
  • June 2023 - December 2024
Total Amount
  • 18 000 euros
Project presentation
Publications
1. « Closed loop strategy to characterize the retinal network: preliminary steps », B. Cessac, S. Ebert, M.J. Escobar, F. Miqueles, A. Palacios, E. Petit, J. Portal-Diaz, Inria research report. In progress.

2. « Parameters estimation in a retinal network model », B. Cessac, L. Pronzato, L. Sacchelli. Article in progress.

3. « On the retinal response to a moving bar », B. Cessac, S. Ebert, L. Piovano, Article in progress.

4. «Temporal refinement of spatiotemporal pattern prediction via short-term plasticity», B. Cessac, S. Ebert, Article in progress.
Leveraged projects
Associated team: Inria FUSION  https://team.inria.fr/biovision/fusion-functional-structure-of-the-retina-a-physiological-and-computational-approach/