Inference of functional networks in the neuronal circuit of the retina from large-scale spike-train recordings (B05)

• Subject Area: Cognitive, Systems and Behavioural Neurobiology ; Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing ; Mathematics
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 432680300

The aim of this project is to elucidate the function of wide-field inhibitory neurons in the neural network of the retina. These neurons play important roles in visual processing, but are difficult to access experimentally. We will combine recordings of retinal output neurons with convolutional network models of the retina to infer characteristics of the inhibitory neurons and to determine optimal visual stimuli for studying their function.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1456: Mathematics of Experiment: The challenge of indirect measurements in the natural sciences
• Applicant Institution: Georg-August-Universität Göttingen
• Project Heads: Professor Dr. Alexander Ecker; Professor Dr. Tim Gollisch