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Computational Dissection of Effective Circuitry and Encoding in the Retina for Normal and Restored Vision

Total Cost €


EC-Contrib. €






 CODE4Vision project word cloud

Explore the words cloud of the CODE4Vision project. It provides you a very rough idea of what is the project "CODE4Vision" about.

reconstructing    light    populations    encoding    restoration    output    inputs    emulate    brain    suffering    code4vision    natural    closed    parallel    diverse    dynamical    statistics    retinal    optogenetic    connectivity    signalling    learning    presynaptic    stimulation    models    visual    retina    encode    recreating    layout    excitatory    schemes    automatically    understanding    implants    network    represented    operations    neuronal    pave    machine    adjust    lies    photoreceptors    inserted    deciphering    vision    cell    ganglion    nonlinear    patients    neural    circuits    supplemented    layers    neuroscience    connections    proteins    stimuli    direct    streams    stimulus    designing    loop    derive    recordings    degeneration    types    thorough    cells    sensitive    neurons    simultaneous    encodes    fundamental    therapies    electronic    optogenetics    emerge    experiments    computational    mouse    transmission    artificial    tackle    dynamics    code    bipolar   

Project "CODE4Vision" data sheet

The following table provides information about the project.


Organization address
address: Robert-Koch-Strasse 40
postcode: 37075
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 1˙991˙445 €
 EC max contribution 1˙991˙445 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-COG
 Funding Scheme ERC-COG
 Starting year 2017
 Duration (year-month-day) from 2017-06-01   to  2022-05-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Understanding how neural circuits process and encode information is a fundamental goal in neuroscience. For the neural network of the retina, such knowledge is also of concrete importance for the development of vision restoration therapies for patients suffering from degeneration of photoreceptors. Artificial stimulation of retinal neurons through electronic implants or inserted light-sensitive proteins (“optogenetics”) aims at reconstructing natural transmission of visual information to the brain. Recreating natural retinal activity, however, will require a thorough understanding of the complex and diverse neural code of the retina. The challenge lies in deciphering the various nonlinear operations and dynamics in the around 30 parallel signalling streams that emerge from the retina, represented by as many types of ganglion cells, the retina’s output neurons.

The CODE4Vision project will tackle this challenge by identifying the effective connectivity between the different types of retinal ganglion cells and their excitatory presynaptic partners, bipolar cells, and by determining the features of information processing between these neuronal layers. We will characterize the layout of bipolar cell inputs to large populations of ganglion cells with novel analyses that we derive from computational statistics and machine learning. We will then study the nonlinear and dynamical features of these connections by designing closed-loop experiments that automatically adjust visual stimuli to the identified layout of bipolar cells. These analyses will be supplemented by direct measurements of connections through simultaneous bipolar and ganglion cell recordings. The results will pave the way towards new models of how the retina encodes natural visual stimuli. Finally, we will apply this knowledge to mouse models of optogenetic vision restoration in order to develop stimulation schemes that emulate natural retinal stimulus encoding.


year authors and title journal last update
List of publications.
2019 Norma Krystyna Kühn, Tim Gollisch
Activity Correlations between Direction-Selective Retinal Ganglion Cells Synergistically Enhance Motion Decoding from Complex Visual Scenes
published pages: 963-976.e7, ISSN: 0896-6273, DOI: 10.1016/j.neuron.2019.01.003
Neuron 101/5 2019-06-11
2017 Jian K. Liu, Helene M. Schreyer, Arno Onken, Fernando Rozenblit, Mohammad H. Khani, Vidhyasankar Krishnamoorthy, Stefano Panzeri, Tim Gollisch
Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization
published pages: 149/1-149/14, ISSN: 2041-1723, DOI: 10.1038/s41467-017-00156-9
Nature Communications 8/1 2019-06-12
2017 Mohammad Hossein Khani, Tim Gollisch
Diversity in spatial scope of contrast adaptation among mouse retinal ganglion cells
published pages: 3024-3043, ISSN: 0022-3077, DOI: 10.1152/jn.00529.2017
Journal of Neurophysiology 118/6 2019-05-15
2017 Sebastian Bemme, Michael Weick, Tim Gollisch
Differential Effects of HCN Channel Block on On and Off Pathways in the Retina as a Potential Cause for Medication-Induced Phosphene Perception
published pages: 4754, ISSN: 0146-0404, DOI: 10.1167/iovs.17-21572
Investigative Opthalmology & Visual Science 58/11 2019-05-15

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