Hanson, LauraRavi-Chander, PrathyushaBerson, DavidAwatramani, Gautam B.2023-10-152023-10-1520232023Hanson, L., Ravi-Chander, P., Berson, D., Awatramani, G. B. (2023). Hierarchical retinal computations rely on hybrid chemical-electrical signaling. Cell Reports, 42(2), 112030. https://doi.org/10.1016/j.celrep.2023.112030.https://doi.org/10.1016/j.celrep.2023.112030http://hdl.handle.net/1828/15519We would like to thank Dr. Marla Feller for TRHR-EGFP mice and Dr. David Paul for the Gjd2fl/fl mice, Dr. Jamie Boyd and Dr. Benjamin Murphy-Baum for their help with 2P imaging and analysis software (IGOR, Wavemetrics), Mike Delsey for technical support, and Tracy Michaels for assistance with animal care and breeding.Summary: Bipolar cells (BCs) are integral to the retinal circuits that extract diverse features from the visual environment. They bridge photoreceptors to ganglion cells, the source of retinal output. Understanding how such circuits encode visual features requires an accounting of the mechanisms that control glutamate release from bipolar cell axons. Here, we demonstrate orientation selectivity in a specific genetically identifiable type of mouse bipolar cell—type 5A (BC5A). Their synaptic terminals respond best when stimulated with vertical bars that are far larger than their dendritic fields. We provide evidence that this selectivity involves enhanced excitation for vertical stimuli that requires gap junctional coupling through connexin36. We also show that this orientation selectivity is detectable postsynaptically in direction-selective ganglion cells, which were not previously thought to be selective for orientation. Together, these results demonstrate how multiple features are extracted by a single hierarchical network, engaging distinct electrical and chemical synaptic pathways.enorientation selectivitydirection selectivitybipolar cellgap junctionretinawide-field amacrine celldirection-selective ganglion cellHierarchical retinal computations rely on hybrid chemical-electrical signalingArticleDepartment of Biology