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.

Involved staff

Managers

Research Center for Ophthalmology
Center for Ophthalmology, Hospitals and clinical institutes, Faculty of Medicine
Hertie Institute for Artificial Intelligence in Brain Health (HIAI)
Non-clinical institutes, Faculty of Medicine
Institute for Bioinformatics and Medical Informatics (IBMI)
Interfaculty Institutes
Cluster of Excellence: Machine Learning: New Perspectives for Science (CML)
Centers or interfaculty scientific institutions
Tübingen AI Center
Department of Informatics, Faculty of Science

Contact persons

Center for Ophthalmology
Hospitals and clinical institutes, Faculty of Medicine
Research Center for Ophthalmology
Center for Ophthalmology, Hospitals and clinical institutes, Faculty of Medicine
Werner Reichardt Center for Integrative Neuroscience (CIN)
Centers or interfaculty scientific institutions

Local organizational units

Research Center for Ophthalmology
Center for Ophthalmology
Hospitals and clinical institutes, Faculty of Medicine

Funders

Bonn, Nordrhein-Westfalen, Germany
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