Task choice influences single-neuron tuning predictions in connectome-constrained modeling
Felix Pei, Janne Lappalainen, Srinivas Turaga, Jakob Macke · Bernstein Conference 2024
Research efforts in mapping the connectivity of neural circuits has led to a wealth of connectomic data, including the full nervous system of the fruit fly. The dynamical characteristics of the neurons in these circuits, however, are still largely unknown. Recent work has demonstrated that connectome-constrained models with ethological task constraints generate accurate predictions of single-neuron response properties. Specifically, models with connectivity derived from the fruit fly visual system were trained using deep learning to perform a motion vision task. Resulting models accurately pre