Synchronous inhibitory pathways create both efficiency and diversity in the retina

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 119; no. 4; pp. 1 - 9
• Main Authors: Manu, Mihai, McIntosh, Lane T., Kastner, David B., Naecker, Benjamin N., Baccus, Stephen A.
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 25.01.2022
• Subjects: Algorithms; Amacrine cells; Amacrine Cells - metabolism; Biological Sciences; Circuits; Horizontal cells; Information processing; Interneurons; Interneurons - metabolism; Models, Biological; Neural coding; Neuroscience; Retina; Retina - physiology; Retinal ganglion cells; Retinal Ganglion Cells - metabolism; Retinal Horizontal Cells - metabolism; Synaptic Transmission; Temporal variations; Visual Pathways; computational model; efficient coding; neural circuit; receptive field; perturbation
• ISSN: 0027-8424; 1091-6490; 1091-6490
• DOI: 10.1073/pnas.2116589119

Sensory receptive fields combine features that originate in different neural pathways. Retinal ganglion cell receptive fields compute intensity changes across space and time using a peripheral region known as the surround, a property that improves information transmission about natural scenes. The visual features that construct this fundamental property have not been quantitatively assigned to specific interneurons. Here, we describe a generalizable approach using simultaneous intracellular and multielectrode recording to directly measure and manipulate the sensory feature conveyed by a neural pathway to a downstream neuron. By directly controlling the gain of individual interneurons in the circuit, we show that rather than transmitting different temporal features, inhibitory horizontal cells and linear amacrine cells synchronously create the linear surround at different spatial scales and that these two components fully account for the surround. By analyzing a large population of ganglion cells, we observe substantial diversity in the relative contribution of amacrine and horizontal cell visual features while still allowing individual cells to increase information transmission under the statistics of natural scenes. Established theories of efficient coding have shown that optimal information transmission under natural scenes allows a diverse set of receptive fields. Our results give a mechanism for this theory, showing how distinct neural pathways synthesize a sensory computation and how this architecture both generates computational diversity and achieves the objective of high information transmission.