Regensburg 2019 – wissenschaftliches Programm

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BP: Fachverband Biologische Physik

BP 15: Focus session: Collective Dynamics in Neural Networks

BP 15.11: Vortrag

Mittwoch, 3. April 2019, 12:45–13:00, H11

Inferring network wiring from recorded activity — •Nataliya Kraynyukova and Tatjana Tchumatchenko — Max-Planck-Institute for Brain Research, Frankfurt am Main, Germany

The cortical circuits are able to perform a variety of nonlinear computations. One of the most ubiquitous representations of neural activity observed throughout sensory modalities is a tuning curve. In the visual cortex the tuning curves have been often shown to be contrast invariant. Contrast invariance means that after normalizing by the peak value tuning curves recorded at different contrast values will have a universal shape. We show that if the activity of a neural rate network is contrast invariant, then network connectivity and input profiles have a specific, mathematical relation to activity tuning curves. This simple theoretical observation provides constraints on the possible network connectivities and we show how it serves to infer connectomes.