ProjectTesting efficient coding in realistic models of the retinal network
Basic data
Title:
Testing efficient coding in realistic models of the retinal network
Duration:
01/01/2023 to 31/12/2025
Abstract / short description:
This project aims at developing a detailed model of the excitatory pathway of the retina and to
test if it follows an efficient coding strategy of visual information. For this, we will first acquire
experimental data to decompose the different steps of retinal processing. We will then use these
data to build models of the retinal excitatory pathway that can predict and explain how complex
inputs, i.e. natural images, are processed at the frontend of vision. Finally, we will use these
models to test the hypothesis that the organization of this pathway is compatible with the
principles of efficient coding.
test if it follows an efficient coding strategy of visual information. For this, we will first acquire
experimental data to decompose the different steps of retinal processing. We will then use these
data to build models of the retinal excitatory pathway that can predict and explain how complex
inputs, i.e. natural images, are processed at the frontend of vision. Finally, we will use these
models to test the hypothesis that the organization of this pathway is compatible with the
principles of efficient coding.
Involved staff
Managers
Research Center for Ophthalmology
Center for Ophthalmology, Hospitals and clinical institutes, Faculty of Medicine
Center for Ophthalmology, Hospitals and clinical institutes, Faculty of Medicine
Hertie Institute for Artificial Intelligence in Brain Health
Non-clinical institutes, Faculty of Medicine
Non-clinical institutes, Faculty of Medicine
Contact persons
Center for Ophthalmology
Hospitals and clinical institutes, Faculty of Medicine
Hospitals and clinical institutes, Faculty of Medicine
Local organizational units
Research Center for Ophthalmology
Center for Ophthalmology
Hospitals and clinical institutes, Faculty of Medicine
Hospitals and clinical institutes, Faculty of Medicine
Funders
Bonn, Nordrhein-Westfalen, Germany