@article{88c3e33a63b94c6a9dad37318f3625a1,
title = "Spatial Clustering of Inhibition in Mouse Primary Visual Cortex",
abstract = "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.",
keywords = "inhibition, intracortical feedback, parvalbumin interneurons, thalamocortical connections, visual cortex",
author = "D'Souza, {Rinaldo D.} and Pawan Bista and Meier, {Andrew M.} and Weiqing Ji and Andreas Burkhalter",
note = "Funding Information: We thank Hongkui Zheng of the Allen Institute for Brain Science for the AAV2/1hSyn.tdTomato.WPRE.bGH and James Fitzpatrick and Dennis Oakley (Washington University Center for Cellular Imaging) and Katia Valkova for technical support. Thanks also to Tim Holy for the VGAT-ChR2-EYFP mice. This work was supported by National Eye Institute grants RO1 EY16184, RO1 EY022090, and RO1 EY027383 and the McDonnell Center for Systems Neuroscience. P.B. R.D.D. and A.B. designed the research. P.B. and R.D.D. performed the physiological and most of the anatomical experiments, with significant help from A.M.M. W.J. and A.B. All authors contributed to the data analysis. A.M.M. implemented software. A.B. P.B. and R.D.D. wrote the paper with input from all authors. The authors declare no competing interests. Funding Information: We thank Hongkui Zheng of the Allen Institute for Brain Science for the AAV2/1hSyn.tdTomato.WPRE.bGH and James Fitzpatrick and Dennis Oakley (Washington University Center for Cellular Imaging) and Katia Valkova for technical support. Thanks also to Tim Holy for the VGAT-ChR2-EYFP mice. This work was supported by National Eye Institute grants RO1 EY16184 , RO1 EY022090 , and RO1 EY027383 and the McDonnell Center for Systems Neuroscience . Publisher Copyright: {\textcopyright} 2019 Elsevier Inc.",
year = "2019",
month = nov,
day = "6",
doi = "10.1016/j.neuron.2019.09.020",
language = "English",
volume = "104",
pages = "588--600.e5",
journal = "Neuron",
issn = "0896-6273",
number = "3",
}