Alsteens, D., Newton, R., Schubert, R., Martinez-Martin, D., Delguste, M., Roska, B., Müller, D.J., 2017. Nanomechanical mapping of first binding steps of a virus to animal cells. Nat. Nanotechnol. 12, 177–183. https://doi.org/10.1038/nnano.2016.228
Andermann, M.L., Kerlin, A.M., Roumis, D.K., Glickfeld, L.L., Reid, R.C., 2011. Functional specialization of mouse higher visual cortical areas. Neuron 72, 1025–1039. https://doi.org/10.1016/j.neuron.2011.11.013
Ayaz, A., Saleem, A.B., Schölvinck, M.L., Carandini, M., 2013. Locomotion controls spatial integration in mouse visual cortex. Curr. Biol. 23, 890–4. https://doi.org/10.1016/j.cub.2013.04.012
Bates, P., Young, J.A.T., Varmus, H.E., 1993. A receptor for subgroup A Rous sarcoma virus is related to the low density lipoprotein receptor. Cell 74, 1043–51. https://doi.org/10.1016/0092-8674(93)90726-7
Brainard, D.H., 1997. The Psychophysics Toolbox. Spat. Vis. 10.
Callaway, E.M., Katz, L.C., 1993. Photostimulation using caged glutamate reveals functional circuitry in living brain slices. Proc. Natl. Acad. Sci. U. S. A. 90, 7661–5. https://doi.org/10.1073/pnas.90.16.7661
Callaway, E.M., 2004. Feedforward, feedback and inhibitory connections in primate visual cortex. Neural Netw. 17, 625–32. https://doi.org/10.1016/j.neunet.2004.04.004
Cossell, L., Iacaruso, M.F., Muir, D.R., Houlton, R., Sader, E.N., Ko, H., Hofer, S.B., Mrsic-Flogel, T.D., 2015. Functional organization of excitatory synaptic strength in primary visual cortex. Nature 518, 399–403. https://doi.org/10.1038/nature14182
Couto, J., Musall, S., Sun, X.R., Khanal, A., Gluf, S., Saxena, S., Kinsella, I., Abe, T., Cunningham, J.P., Paninski, L., Churchland, A.K., 2021. Chronic, cortex-wide imaging of specific cell populations during behavior. Nat. Protoc. 16, 3241–3263. https://doi.org/10.1038/s41596-021-00527-z
Cruz-Martín, A., El-Danaf, R.N., Osakada, F., Sriram, B., Dhande, O.S., Nguyen, P.L., Callaway, E.M., Ghosh, A., Huberman, A.D., 2014. A dedicated circuit links direction-selective retinal ganglion cells to the primary visual cortex. Nature 507, 358–361. https://doi.org/10.1038/nature12989
Dana, H., Novak, O., Guardado-Montesino, M., Fransen, J.W., Hu, A., Borghuis, B.G., Guo, C., Kim, D.S., Svoboda, K., 2018. Thy1 transgenic mice expressing the red fluorescent calcium indicator jRGECO1a for neuronal population imaging in vivo. PLoS One 13, e0205444.https://doi.org/10.1371/journal.pone.0205444
de Vries, S.E.J., Lecoq, J.A., Buice, M.A., Groblewski, P.A., Ocker, G.K., Oliver, M., Feng, D., Cain, N., Ledochowitsch, P., Millman, D., Roll, K., Garrett, M., Keenan, T., Kuan, L., Mihalas, S., Olsen, S., Thompson, C., Wakeman, W., Waters, J., Williams, D., Barber, C., Berbesque, N., Blanchard, B., Bowles, N., Caldejon, S.D., Casal, L., Cho, A., Cross, S., Dang, C., Dolbeare, T., Edwards, M., Galbraith, J., Gaudreault, N., Gilbert, T.L., Griffin, F., Hargrave, P., Howard, R., Huang, L., Jewell, S., Keller, N., Knoblich, U., Larkin, J.D., Larsen, R., Lau, C., Lee, E., Lee, F., Leon, A., Li, L., Long, F., Luviano, J., Mace, K., Nguyen, T., Perkins, J., Robertson, M., Seid, S., Shea-Brown, E., Shi, J., Sjoquist, N., Slaughterbeck, C., Sullivan, D., Valenza, R., White, C., Williford, A., Witten, D.M., Zhuang, J., Zeng, H., Farrell, C., Ng, L., Bernard, A., Phillips, J.W., Reid, R.C., Koch, C., 2020. A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex. Nat. Neurosci. 23, 138–151. https://doi.org/10.1038/s41593-019-0550-9
Dolensek, N., Gehrlach, D.A., Klein, A.S., Gogolla, N., 2020. Facial expressions of emotion states and their neuronal correlates in mice. Science 368, 89–94. https://doi.org/10.1126/science.aaz9468
Dombeck, D.A., Khabbaz, A.N., Collman, F., Adelman, T.L., Tank, D.W., 2007. Imaging large-scale neural activity with cellular resolution in awake, mobile mice. Neuron 56, 43–57. https://doi.org/10.1016/j.neuron.2007.08.003 Elleder, D., Melder, D.C., Trejbalova, K., Svoboda, J., Federspiel, M.J., 2004. Two Different Molecular
Defects in the Tva Receptor Gene Explain the Resistance of Two tva r Lines of Chickens to Infection by Subgroup A Avian Sarcoma and Leukosis Viruses . J. Virol. 78, 13489–13500. https://doi.org/10.1128/jvi.78.24.13489-13500.2004 Guizar-Sicairos, M., Thurman, S.T., Fienup, J.R., 2008. Efficient subpixel image registration algorithms. Opt. Lett. 33, 156–8. https://doi.org/10.1364/ol.33.000156
Garrett, M.E., Nauhaus, I., Marshel, J.H., Callaway, E.M., Garrett, M.E., Marshel, J.H., Nauhaus, I., Garrett, M.E., 2014. Topography and Areal Organization of Mouse Visual Cortex. J. Neurosci. 34, 12587–12600. https://doi.org/10.1523/JNEUROSCI.1124-14.2014
Glickfeld, L.L., Andermann, M.L., Bonin, V., Reid, R.C., 2013. Cortico-cortical projections in mouse visual cortex are functionally target specific. Nat. Neurosci. 16, 219–226. https://doi.org/10.1038/nn.3300
Gouwens, N.W., Sorensen, S.A., Berg, J., Lee, C., Jarsky, T., Ting, J., Sunkin, S.M., Feng, D., Anastassiou, C.A., Barkan, E., Bickley, K., Blesie, N., Braun, T., Brouner, K., Budzillo, A., Caldejon, S., Casper, T., Castelli, D., Chong, P., Crichton, K., Cuhaciyan, C., Daigle, T.L., Dalley, R., Dee, N., Desta, T., Ding, S.-L.L., Dingman, S., Doperalski, A., Dotson, N., Egdorf, T., Fisher, M., de Frates, R.A., Garren, E., Garwood, M., Gary, A., Gaudreault, N., Godfrey, K., Gorham, M., Gu, H., Habel, C., Hadley, K., Harrington, J., Harris, J.A., Henry, A., Hill, D.J., Josephsen, S., Kebede, S., Kim, L., Kroll, M., Lee, B., Lemon, T., Link, K.E., Liu, X., Long, B., Mann, R., McGraw, M., Mihalas, S., Mukora, A., Murphy, G.J., Ng, L.L., Ngo, K., Nguyen, T.N., Nicovich, P.R., Oldre, A., Park, D., Parry, S., Perkins, J., Potekhina, L., Reid, D., Robertson, M., Sandman, D., Schroedter, M., Slaughterbeck, C., Soler-Llavina, G., Sulc, J., Szafer, A., Tasic, B., Taskin, N., Teeter, C., Thatra, N., Tung, H., Wakeman, W., Williams, G., Young, R., Zhou, Z., Farrell, C., Peng, H., Hawrylycz, M.J., Lein, E., Ng, L.L., Arkhipov, A., Bernard, A., Phillips, J.W., Zeng, H., Koch, C., 2019. Classification of electrophysiological and morphological neuron types in the mouse visual cortex. Nat. Neurosci. 22, 1182–1195. https://doi.org/10.1038/s41593-019-0417-0
Gouwens, N.W., Sorensen, S.A., Baftizadeh, F., Budzillo, A., Lee, B.R., Jarsky, T., Alfiler, L., Baker, K., Barkan, E., Berry, K., Bertagnolli, D., Bickley, K., Bomben, J., Braun, T., Brouner, K., Casper, T., Crichton, K., Daigle, T.L., Dalley, R., de Frates, R.A., Dee, N., Desta, T., Lee, S.D., Dotson, N., Egdorf, T., Ellingwood, L., Enstrom, R., Esposito, L., Farrell, C., Feng, D., Fong, O., Gala, R., Gamlin, C., Gary, A., Glandon, A., Goldy, J., Gorham, M., Graybuck, L., Gu, H., Hadley, K., Hawrylycz, M.J., Henry, A.M., Hill, D.J., Hupp, M., Kebede, S., Kim, T.K., Kim, L., Kroll, M., Lee, C., Link, K.E., Mallory, M., Mann, R., Maxwell, M., McGraw, M., McMillen, D., Mukora, A., Ng, Lindsay, Ng, Lydia, Ngo, K., Nicovich, P.R., Oldre, A., Park, D., Peng, H., Penn, O., Pham, T., Pom, A., Popović, Z., Potekhina, L., Rajanbabu, R., Ransford, S., Reid, D., Rimorin, C., Robertson, M., Ronellenfitch, K., Ruiz, A., Sandman, D., Smith, K., Sulc, J., Sunkin, S.M., Szafer, A., Tieu, M., Torkelson, A., Trinh, J., Tung, H., Wakeman, W., Ward, K., Williams, G., Zhou, Z., Ting, J.T., Arkhipov, A., Sümbül, U., Lein, E.S., Koch, C., Yao, Z., Tasic, B., Berg, J., Murphy, G.J., Zeng, H., 2020. Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells. Cell 183, 935-953.e19. https://doi.org/10.1016/j.cell.2020.09.057
Gray, E.R., Illingworth, C.J.R., Coffin, J.M., Stoye, J.P., 2011. Binding of more than one Tva800 molecule is required for ASLV-A entry. Retrovirology 8, 96. https://doi.org/10.1186/1742-4690-8-96
Han, Y., Kebschull, J.M., Campbell, R.A.A.A., Cowan, D., Imhof, F., Zador, A.M., Mrsic-Flogel, T.D., 2018. The logic of single-cell projections from visual cortex. Nature 556, 51–56. https://doi.org/10.1038/nature26159
Haubensak, W., Kunwar, P.S., Cai, H., Ciocchi, S., Wall, N.R., Ponnusamy, R., Biag, J., Dong, H.-W., Deisseroth, K., Callaway, E.M., Fanselow, M.S., Lüthi, A., Anderson, D.J., 2010. Genetic dissection of an amygdala microcircuit that gates conditioned fear. Nature 468, 270–6. https://doi.org/10.1038/nature09553
Hillman, E.M.C., 2007. Optical brain imaging in vivo: techniques and applications from animal to man. J. Biomed. Opt. 12, 051402. https://doi.org/10.1117/1.2789693
Hubel, D.H., Wiesel, T.N., 1959. Receptive fields of single neurones in the cat’s striate cortex. J. Physiol. 148, 574–91. https://doi.org/10.1113/jphysiol.1959.sp006308
Hubel, D.H., Wiesel, T.N., 1974. Sequence regularity and geometry of orientation columns in the monkey striate cortex. J. Comp. Neurol. 158, 267–93. https://doi.org/10.1002/cne.901580304
Jha, N.K., Latinovic, O., Martin, E., Novitskiy, G., Marin, M., Miyauchi, K., Naughton, J., Young, J.A.T., Melikyan, G.B., 2011. Imaging single retrovirus entry through alternative receptor isoforms and intermediates of virus-endosome fusion. PLoS Pathog. 7. https://doi.org/10.1371/journal.ppat.1001260
Juavinett, A., Nauhaus, I., Garrett, M.E., Zhuang, J., Callaway, E.M., 2017. Automated identification of mouse visual areas with intrinsic signal imaging. Nat. Protoc. 12, 32–43. https://doi.org/10.1038/nprot.2016.158
Judkewitz, B., Rizzi, M., Kitamura, K., Häusser, M., 2009. Targeted single-cell electroporation of mammalian neurons in vivo. Nat. Protoc. 4, 862–869. https://doi.org/10.1038/nprot.2009.56
Kalatsky, V.A., Stryker, M.P., 2003. New paradigm for optical imaging: temporally encoded maps of intrinsic signal. Neuron 38, 529–45. https://doi.org/10.1016/s0896-6273(03)00286-1
Kim, E.J., Jacobs, M.W., Ito-Cole, T., Callaway, E.M., 2016. Improved Monosynaptic Neural Circuit Tracing Using Engineered Rabies Virus Glycoproteins. Cell Rep. 15, 692–699. https://doi.org/10.1016/j.celrep.2016.03.067
Kim, E.J., Zhang, Z., Huang, L., Ito-Cole, T., Jacobs, M.W., Juavinett, A.L., Senturk, G., Hu, M., Ku, M., Ecker, J.R., Callaway, E.M., 2020. Extraction of Distinct Neuronal Cell Types from within a Genetically Continuous Population. Neuron 107, 274-282.e6. https://doi.org/10.1016/j.neuron.2020.04.018
Kim, J.S., Greene, M.J., Zlateski, A., Lee, K., Richardson, M., Turaga, S.C., Purcaro, M., Balkam, M., Robinson, A., Behabadi, B.F., Campos, M., Denk, W., Seung, H.S., EyeWirers, 2014. Space-time wiring specificity supports direction selectivity in the retina. Nature 509, 331–336. https://doi.org/10.1038/nature13240
Kim, M.H., Znamenskiy, P., Iacaruso, M.F., Mrsic-Flogel, T.D., 2018. Segregated Subnetworks of Intracortical Projection Neurons in Primary Visual Cortex. Neuron 100, 1313-1321.e6. https://doi.org/10.1016/j.neuron.2018.10.023
Kitamura, K., Judkewitz, B., Kano, M., Denk, W., Häusser, M., 2008. Targeted patch-clamp recordings and single-cell electroporation of unlabeled neurons in vivo. Nat. Methods 5, 61–67. https://doi.org/10.1038/nmeth1150
Kleiner M, Brainard D, Pelli D., 2007, "What's new in Psychtoolbox-3?" Perception 36 ECVP Abstract Supplement.
Ko, H., Hofer, S.B., Pichler, B., Buchanan, K.A., Sjöström, P.J., Mrsic-Flogel, T.D., 2011. Functional specificity of local synaptic connections in neocortical networks. Nature 473, 87–91.https://doi.org/10.1038/nature09880
Lee, W.C.A., Bonin, V., Reed, M., Graham, B.J., Hood, G., Glattfelder, K., Reid, R.C., 2016. Anatomy and function of an excitatory network in the visual cortex. Nature 532, 370–374. https://doi.org/10.1038/nature17192
Lim, K.-I., Narayan, S., Young, J.A.T., Yin, J., 2004. Effects of lipid rafts on dynamics of retroviral entry and trafficking: Quantitative analysis. Biotechnol. Bioeng. 86, 650–60. https://doi.org/10.1002/bit.20108
Luo, L., Callaway, E.M., Svoboda, K., 2018. Genetic Dissection of Neural Circuits: A Decade of Progress. Neuron. https://doi.org/10.1016/j.neuron.2018.03.040
Luo, L., 2021. Architectures of neuronal circuits. Science 373, eabg7285. https://doi.org/10.1126/science.abg7285
Malonek, D., Grinvald, A., 1996. Interactions between electrical activity and cortical microcirculation revealed by imaging spectroscopy: implications for functional brain mapping. Science 272, 551–4. https://doi.org/10.1126/science.272.5261.551
Marshel, J.H., Mori, T., Nielsen, K.J., Callaway, E.M., 2010. Targeting single neuronal networks for gene expression and cell labeling in vivo. Neuron 67, 562–574. https://doi.org/10.1016/j.neuron.2010.08.001
Marshel, J.H., Garrett, M.E., Nauhaus, I., Callaway, E.M., 2011. Functional specialization of seven mouse visual cortical areas. Neuron 72, 1040–1054. https://doi.org/10.1016/j.neuron.2011.12.004
Mathis, A., Mamidanna, P., Cury, K.M., Abe, T., Murthy, V.N., Mathis, M.W., Bethge, M., 2018. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nat. Neurosci. 21, 1281–1289. https://doi.org/10.1038/s41593-018-0209-y Miles, R., Poncer, J.C., 1996. Paired recordings from neurones. Curr. Opin. Neurobiol. 6, 387–94.https://doi.org/10.1016/s0959-4388(96)80124-3
Miyamichi, K., Amat, F., Moussavi, F., Wang, C., Wickersham, I., Wall, N.R., Taniguchi, H., Tasic, B., Huang, Z.J., He, Z., Callaway, E.M., Horowitz, M.A., Luo, L., 2011. Cortical representations of olfactory input by trans-synaptic tracing. Nature 472, 191–6. https://doi.org/10.1038/nature09714
Moritz, C.P., Mühlhaus, T., Tenzer, S., Schulenborg, T., Friauf, E., 2019. Poor transcript-protein correlation in the brain: negatively correlating gene products reveal neuronal polarity as a potential cause. J. Neurochem. 149, 582–604. https://doi.org/10.1111/jnc.14664
Mrsic-Flogel, T.D., Hofer, S.B., Ohki, K., Reid, R.C., Bonhoeffer, T., Hübener, M., 2007. Homeostatic regulation of eye-specific responses in visual cortex during ocular dominance plasticity. Neuron 54, 961–72. https://doi.org/10.1016/j.neuron.2007.05.028
Nakai, J., Ohkura, M., Imoto, K., 2001. A high signal-to-noise Ca(2+) probe composed of a single green fluorescent protein. Nat. Biotechnol. 19, 137–41. https://doi.org/10.1038/84397
Narayan, S., Barnard, R.J.O., Young, J.A.T., 2003. Two Retroviral Entry Pathways Distinguished by Lipid Raft Association of the Viral Receptor and Differences in Viral Infectivity. J. Virol. 77, 1977–1983. https://doi.org/10.1128/jvi.77.3.1977-1983.2003
Niell, C.M., Stryker, M.P., 2010. Modulation of visual responses by behavioral state in mouse visual cortex. Neuron 65, 472–9. https://doi.org/10.1016/j.neuron.2010.01.033
Ohki, K., Chung, S., Ch’ng, Y.H., Kara, P., Reid, R.C., 2005. Functional imaging with cellular resolution reveals precise microarchitecture in visual cortex. Nature 433, 597–603. https://doi.org/10.1038/nature03274
Okigawa, S., Yamaguchi, M., Ito, K.N., Takeuchi, R.F., Morimoto, N., Osakada, F., 2021. Cell typeand layer-specific convergence in core and shell neurons of the dorsal lateral geniculate nucleus. J. Comp. Neurol. 529, 2099–2124. https://doi.org/10.1002/cne.25075
Onda, M., Takeuchi, R.F., Isobe, K., Suzuki, T., Masaki, Y., Morimoto, N., Osakada, F., 2021. Temporally multiplexed dual-plane imaging of neural activity with four-dimensional precision. Neurosci. Res. 171, 9–18. https://doi.org/10.1016/j.neures.2021.02.001
Osakada, F., Mori, T., Cetin, A.H., Marshel, J.H., Virgen, B., Callaway, E.M., 2011. New rabies virus variants for monitoring and manipulating activity and gene expression in defined neural circuits. Neuron 71, 617–631. https://doi.org/10.1016/j.neuron.2011.07.005
Osakada, F., Callaway, E.M., 2013. Design and generation of recombinant rabies virus vectors. Nat.
Protoc. 8, 1583–1601. https://doi.org/10.1038/nprot.2013.094
Parker, P.R.L., Brown, M.A., Smear, M.C., Niell, C.M., 2020. Movement-Related Signals in Sensory Areas: Roles in Natural Behavior. Trends Neurosci. 43, 581–595. https://doi.org/10.1016/j.tins.2020.05.005
Pelli, D.G., 1997. The VideoToolbox software for visual psychophysics: transforming numbers into movies. Spat. Vis. 10, 437–42.
Petreanu, L., Huber, D., Sobczyk, A., Svoboda, K., 2007. Channelrhodopsin-2-assisted circuit mapping of long-range callosal projections. Nat. Neurosci. 10, 663–8. https://doi.org/10.1038/nn1891
Qin, J.Y., Zhang, L., Clift, K.L., Hulur, I., Xiang, A.P., Ren, B.Z., Lahn, B.T., 2010. Systematic comparison of constitutive promoters and the doxycycline-inducible promoter. PLoS One 5. https://doi.org/10.1371/journal.pone.0010611
Rancz, E.A., Franks, K.M., Schwarz, M.K., Pichler, B., Schaefer, A.T., Margrie, T.W., 2011. Transfection via whole-cell recording in vivo: Bridging single-cell physiology, genetics and connectomics. Nat. Neurosci. 14, 527–532. https://doi.org/10.1038/nn.2765
Reid, R.C., 2012. From Functional Architecture to Functional Connectomics. Neuron 75, 209–217. https://doi.org/10.1016/j.neuron.2012.06.031
Rompani, S.B., Müllner, F.E., Wanner, A., Zhang, C., Roth, C.N., Yonehara, K., Roska, B., 2017. Different Modes of Visual Integration in the Lateral Geniculate Nucleus Revealed by Single-CellInitiated Transsynaptic Tracing. Neuron 93, 767-776.e6. https://doi.org/10.1016/j.neuron.2017.01.028
Rossi, L.F., 2018. Cortical circuits for visual processing and epileptic activity propagation. Doctoral thesis. https://discovery.ucl.ac.uk/id/eprint/10043096/
Rossi, L.F., Harris, K.D., Carandini, M., 2020. Spatial connectivity matches direction selectivity in visual cortex. Nature 588, 648–652. https://doi.org/10.1038/s41586-020-2894-4
Seabrook, T.A., Burbridge, T.J., Crair, M.C., Huberman, A.D., 2017. Architecture, Function, and Assembly of the Mouse Visual System. Annu. Rev. Neurosci. 40, 499–538. https://doi.org/10.1146/annurev-neuro-071714-033842
Sereno, M.I., McDonald, C.T., Allman, J.M., 1994. Analysis of retinotopic maps in extrastriate cortex. Cereb. Cortex 4, 601–20. https://doi.org/10.1093/cercor/4.6.601
Siegle, J.H., Jia, X., Durand, S., Gale, S., Bennett, C., Graddis, N., Heller, G., Ramirez, T.K., Choi, H., Luviano, J.A., Groblewski, P.A., Ahmed, R., Arkhipov, A., Bernard, A., Billeh, Y.N., Brown, D., Buice, M.A., Cain, N., Caldejon, S., Casal, L., Cho, A., Chvilicek, M., Cox, T.C., Dai, K., Denman, D.J., de Vries, S.E.J., Dietzman, R., Esposito, L., Farrell, C., Feng, D., Galbraith, J., Garrett, M., Gelfand, E.C., Hancock, N., Harris, J.A., Howard, R., Hu, B., Hytnen, R., Iyer, R., Jessett, E., Johnson, K., Kato, I., Kiggins, J., Lambert, S., Lecoq, J., Ledochowitsch, P., Lee, J.H., Leon, A., Li, Y., Liang, E., Long, F., Mace, K., Melchior, J., Millman, D., Mollenkopf, T., Nayan, C., Ng, L., Ngo, K., Nguyen, T., Nicovich, P.R., North, K., Ocker, G.K., Ollerenshaw, D., Oliver, M., Pachitariu, M., Perkins, J., Reding, M., Reid, D., Robertson, M., Ronellenfitch, K., Seid, S., Slaughterbeck, C., Stoecklin, M., Sullivan, D., Sutton, B., Swapp, J., Thompson, C., Turner, K., Wakeman, W., Whitesell, J.D., Williams, D., Williford, A., Young, R., Zeng, H., Naylor, S., Phillips, J.W., Reid, R.C., Mihalas, S., Olsen, S.R., Koch, C., 2021. Survey of spiking in the mouse visual system reveals functional hierarchy. Nature 592, 86–92. https://doi.org/10.1038/s41586-020-03171-x
Stepien, A.E., Tripodi, M., Arber, S., 2010. Monosynaptic rabies virus reveals premotor network organization and synaptic specificity of cholinergic partition cells. Neuron 68, 456–72. https://doi.org/10.1016/j.neuron.2010.10.019
Stosiek, C., Garaschuk, O., Holthoff, K., Konnerth, A., 2003. In vivo two-photon calcium imaging of neuronal networks. Proc. Natl. Acad. Sci. U. S. A. 100, 7319–24. https://doi.org/10.1073/pnas.1232232100
Suzuki, T., Morimoto, N., Akaike, A., Osakada, F., 2020. Multiplex Neural Circuit Tracing With GDeleted Rabies Viral Vectors. Front. Neural Circuits 13. https://doi.org/10.3389/fncir.2019.00077
Takatoh, J., Nelson, A., Zhou, X., Bolton, M.M., Ehlers, M.D., Arenkiel, B.R., Mooney, R., Wang, F., 2013. New modules are added to vibrissal premotor circuitry with the emergence of exploratory whisking. Neuron 77, 346–60. https://doi.org/10.1016/j.neuron.2012.11.010
Tasic, B., Menon, V., Nguyen, T.N., Kim, T.K., Jarsky, T., Yao, Z., Levi, B., Gray, L.T., Sorensen, S.A., Dolbeare, T., Bertagnolli, D., Goldy, J., Shapovalova, N., Parry, S., Lee, C., Smith, K., Bernard, A., Madisen, L., Sunkin, S.M., Hawrylycz, M., Koch, C., Zeng, H., 2016. Adult mouse cortical cell taxonomy revealed by single cell transcriptomics. Nat. Neurosci. 19, 335–46. https://doi.org/10.1038/nn.4216
Tasic, B., Yao, Z., Graybuck, L.T., Smith, K.A., Nguyen, T.N., Bertagnolli, D., Goldy, J., Garren, E., Economo, M.N., Viswanathan, S., Penn, O., Bakken, T., Menon, V., Miller, J., Fong, O., Hirokawa, K.E., Lathia, K., Rimorin, C., Tieu, M., Larsen, R., Casper, T., Barkan, E., Kroll, M., Parry, S., Shapovalova, N. V., Hirschstein, D., Pendergraft, J., Sullivan, H.A., Kim, T.K., Szafer, A., Dee, N., Groblewski, P., Wickersham, I., Cetin, A., Harris, J.A., Levi, B.P., Sunkin, S.M., Madisen, L., Daigle, T.L., Looger, L., Bernard, A., Phillips, J., Lein, E., Hawrylycz, M., Svoboda, K., Jones, A.R., Koch, C., Zeng, H., 2018. Shared and distinct transcriptomic cell types across neocortical areas. Nature 563, 72–78. https://doi.org/10.1038/s41586-018-0654-5
Tervo, D.G.R., Hwang, B.Y., Viswanathan, S., Gaj, T., Lavzin, M., Ritola, K.D., Lindo, S., Michael, S., Kuleshova, E., Ojala, D., Huang, C.C., Gerfen, C.R., Schiller, J., Dudman, J.T., Hantman, A.W., Looger, L.L., Schaffer, D. V., Karpova, A.Y., 2016. A Designer AAV Variant Permits Efficient Retrograde Access to Projection Neurons. Neuron 92, 372–382. https://doi.org/10.1016/j.neuron.2016.09.021
Tian, J., Huang, R., Cohen, J.Y., Osakada, F., Kobak, D., Machens, C.K., Callaway, E.M., Uchida, N., Watabe-Uchida, M., 2016. Distributed and Mixed Information in Monosynaptic Inputs to Dopamine Neurons. Neuron 91, 1374–1389. https://doi.org/10.1016/j.neuron.2016.08.018
Ugolini, G., 1995. Specificity of rabies virus as a transneuronal tracer of motor networks: transfer from hypoglossal motoneurons to connected second-order and higher order central nervous system cell groups. J. Comp. Neurol. 356, 457–80. https://doi.org/10.1002/cne.903560312
Ugolini, G., 2010. Advances in viral transneuronal tracing. J. Neurosci. Methods 194, 2–20. https://doi.org/10.1016/j.jneumeth.2009.12.001
Vélez-Fort, M., Rousseau, C. V., Niedworok, C.J., Wickersham, I.R., Rancz, E.A., Brown, A.P.Y., Strom, M., Margrie, T.W., 2014. The stimulus selectivity and connectivity of layer six principal cells reveals cortical microcircuits underlying visual processing. Neuron 83, 1431–1443. https://doi.org/10.1016/j.neuron.2014.08.001
Wall, N.R., Wickersham, I.R., Cetin, A., De La Parra, M., Callaway, E.M., 2010. Monosynaptic circuit tracing in vivo through Cre-dependent targeting and complementation of modified rabies virus. Proc. Natl. Acad. Sci. U. S. A. 107, 21848–21853. https://doi.org/10.1073/pnas.1011756107
Wall, N.R., de la Parra, M., Sorokin, J.M., Taniguchi, H., Huang, Z.J., Callaway, E.M., 2016. Brainwide maps of synaptic input to cortical interneurons. J. Neurosci. 36, 4000–4009. https://doi.org/10.1523/JNEUROSCI.3967-15.2016
Wang, Q., Burkhalter, A., 2007. Area map of mouse visual cortex. J. Comp. Neurol. 502, 339–57. https://doi.org/10.1002/cne.21286
Wang, Q., Gao, E., Burkhalter, A., 2011. Gateways of ventral and dorsal streams in mouse visual cortex. J. Neurosci. 31, 1905–1918. https://doi.org/10.1523/JNEUROSCI.3488-10.2011
Wang, Q., Sporns, O., Burkhalter, A., 2012. Network analysis of corticocortical connections reveals ventral and dorsal processing streams in mouse visual cortex. J. Neurosci. 32, 4386–4399. https://doi.org/10.1523/JNEUROSCI.6063-11.2012
Watabe-Uchida, M., Zhu, L., Ogawa, S.K., Vamanrao, A., Uchida, N., 2012. Whole-Brain Mapping of Direct Inputs to Midbrain Dopamine Neurons. Neuron 74, 858–873. https://doi.org/10.1016/j.neuron.2012.03.017
Wertz, A., Trenholm, S., Yonehara, K., Hillier, D., Raics, Z., Leinweber, M., Szalay, G., Ghanem, A., Keller, G., Rózsa, B., Conzelmann, K.K., Roska, B., 2015. PRESYNAPTIC NETWORKS. Single-cell-initiated monosynaptic tracing reveals layer-specific cortical network modules. Science (80-. ). 349, 70–4. https://doi.org/10.1126/science.aab1687
Wickersham, I.R., Lyon, D.C., Barnard, R.J.O., Mori, T., Finke, S., Conzelmann, K.K., Young, J.A.T., Callaway, E.M., 2007. Monosynaptic Restriction of Transsynaptic Tracing from Single, Genetically Targeted Neurons. Neuron 53, 639–647. https://doi.org/10.1016/j.neuron.2007.01.033
Yaguchi, M., Ohashi, Y., Tsubota, T., Sato, A., Koyano, K.W., Wang, N., Miyashita, Y., 2013. Characterization of the properties of seven promoters in the motor cortex of rats and monkeys after lentiviral vector-mediated gene transfer. Hum. Gene Ther. Methods 24, 333–344. https://doi.org/10.1089/hgtb.2012.238
Yonehara, K., Balint, K., Noda, M., Nagel, G., Bamberg, E., Roska, B., 2011. Spatially asymmetric reorganization of inhibition establishes a motion-sensitive circuit. Nature 469, 407–410. https://doi.org/10.1038/nature09711
Yoshimura, Y., Dantzker, J.L.M., Callaway, E.M., 2005. Excitatory cortical neurons form fine-scale functional networks. Nature 433, 868–873. https://doi.org/10.1038/nature03252
Young, J.A., Bates, P., Varmus, H.E., 1993. Isolation of a chicken gene that confers susceptibility to infection by subgroup A avian leukosis and sarcoma viruses. J. Virol. 67, 1811–6. https://doi.org/10.1128/JVI.67.4.1811-1816.1993
Zhao, Y., Araki, S., Wu, J., Teramoto, T., Chang, Y.-F., Nakano, M., Abdelfattah, A.S., Fujiwara, M., Ishihara, T., Nagai, T., Campbell, R.E., 2011. An expanded palette of genetically encoded Ca2+ indicators. Science 333, 1888–91. https://doi.org/10.1126/science.1208592
論文の公開元へ
