Topic: postsynaptic responses

The relationship between morphology, connectivity, and function is a central challenge in neuroscience. The possibility of predicting neuronal function from morphology and connectivity has motivated the field to produce connectomes for increasingly complex organisms. With the recent completion of multiple connectomes of the Drosophila brain[1][2], we now assess, at scale, the quality of connectome-derived functional predictions. By measuring feature selectivity in more than 90 cell types in the fly visual system and leveraging a pair of recently annotated optic lobe connectomes[2][3], we evalu

A key question in neuroscience is how neurons compute their specialized output from their synaptic inputs. Another key question is whether this computation is shaped by non-linear dendritic integration. To answer these questions, it would be ideal to map synaptic activity while recording dendritic and somatic responses. We developed a strategy to simultaneously measure glutamate synaptic release and postsynaptic responses in L2/3 pyramidal neurons in the mouse primary visual cortex. We sparsely coexpressed two sensors: the green membrane sensor iGluSnFR3, reporting presynaptic release of gluta