| First Author | D'Souza RD | Year | 2019 |
| Journal | Neuron | Volume | 104 |
| Issue | 3 | Pages | 588-600.e5 |
| PubMed ID | 31623918 | Mgi Jnum | J:282156 |
| Mgi Id | MGI:6382099 | Doi | 10.1016/j.neuron.2019.09.020 |
| Citation | D'Souza RD, et al. (2019) Spatial Clustering of Inhibition in Mouse Primary Visual Cortex. Neuron 104(3):588-600.e5 |
| abstractText | Whether mouse visual cortex contains orderly feature maps is debated. The overlapping pattern of geniculocortical inputs with M2 muscarinic acetylcholine receptor-rich patches in layer 1 (L1) suggests a non-random architecture. Here, we found that L1 inputs from the lateral posterior thalamus (LP) avoid patches and target interpatches. Channelrhodopsin-2-assisted mapping of excitatory postsynaptic currents (EPSCs) in L2/3 shows that the relative excitation of parvalbumin-expressing interneurons (PVs) and pyramidal neurons (PNs) by dLGN, LP, and cortical feedback is distinct and depends on whether the neurons reside in clusters aligned with patches or interpatches. Paired recordings from PVs and PNs show that unitary inhibitory postsynaptic currents (uIPSCs) are larger in interpatches than in patches. The spatial clustering of inhibition is matched by dense clustering of PV terminals in interpatches. The results show that the excitation/inhibition balance across V1 is organized into patch and interpatch subnetworks, which receive distinct long-range inputs and are specialized for the processing of distinct spatiotemporal features. |
