Recurrent connectivity supports motion detection in connectome-constrained models of fly vision
Zinovia Stefanidi, Janne K. Lappalainen, Srinivas C. Turaga, Jakob Macke · COSYNE 2025
Recurrent connections are a fundamental feature of neural circuits, enabling feedback loops that regulate network activity. Connectome datasets show strong recurrent connections in the fruit fly visual system, where motion information is processed. However, current models of motion detection focus on feedforward connectivity, leaving the role of recurrence largely unexplored. Here, we investigate the impact of recurrent connectivity on “ON” (bright stimuli) motion selectivity using connectome-constrained deep mechanistic networks (DMNs) of the fly visual system. DMNs feature a one-to-one corre
ePoster · Neuroscience