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Genetic Dissection of Neural Circuits
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Cites
The structure of the nervous system of the nematode Caenorhabditis elegans
White, J. G., Southgate, E., Thomson, J. N., & Brenner, S. (1986) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1986.0056 · Cited by 5,589
Genome-wide atlas of gene expression in the adult mouse brain
Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572
A novel multigene family may encode odorant receptors: A molecular basis for odor recognition
Buck, L., & Axel, R. (1991) · Cell · doi:10.1016/0092-8674(91)90418-x · Cited by 4,987
Tight control of gene expression in mammalian cells by tetracycline-responsive promoters.
Gossen, M., & Bujard, H. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5547 · Cited by 4,943 · cited 1×
“A widely used tool in the mouse is the tetracyclinedependent promoter (Gossen and Bujard, 1992).”
The embryonic cell lineage of the nematode Caenorhabditis elegans
Sulston, J. E., Schierenberg, E., White, J. G., & Thomson, J. N. (1983) · Developmental Biology · doi:10.1016/0012-1606(83)90201-4 · Cited by 4,199
Hell, S. W. (2007) · Science · doi:10.1126/science.1137395 · Cited by 2,967
A gene expression atlas of the central nervous system based on bacterial artificial chromosomes
Gong, S., Zheng, C., Doughty, M. L., Losos, K., Didkovsky, N., Schambra, U. B., Nowak, N. J., Joyner, A., Leblanc, G., Hatten, M. E., et al. (2003) · Nature · doi:10.1038/nature02033 · Cited by 2,108
Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex
Trachtenberg, J. T., Chen, B. E., Knott, G. W., Feng, G., Sanes, J. R., Welker, E., & Svoboda, K. (2002) · Nature · doi:10.1038/nature01273 · Cited by 1,927
Self-citationTransgenic strategies for combinatorial expression of fluorescent proteins in the nervous system
Livet, J., Weissman, T. A., Kang, H., Draft, R. W., Lu, J., Bennis, R. A., Sanes, J. R., & Lichtman, J. W. (2007) · Nature · doi:10.1038/nature06293 · Cited by 1,876 · cited 2×
“This limitation has recently been overcome in the Brainbow mice by expression of distinct mixtures of XFPs in individual neurons (Livet et al., 2007).”
Neural correlates of decision variables in parietal cortex
Platt, M. L., & Glimcher, P. W. (1999) · Nature · doi:10.1038/22268 · Cited by 1,721
Cited by
Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets.
Macosko, E. Z., Basu, A., Satija, R., Nemesh, J., Shekhar, K., Goldman, M., Tirosh, I., Bialas, A. R., Kamitaki, N., Martersteck, E. M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.002 · Cited by 7,110
A robust and high-throughput Cre reporting and characterization system for the whole mouse brain
Madisen, L., Zwingman, T. A., Sunkin, S. M., Oh, S. W., Zariwala, H. A., Gu, H., Ng, L. L., Palmiter, R. D., Hawrylycz, M. J., Jones, A. R., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2467 · Cited by 6,907
A resource of Cre driver lines for genetic targeting of GABAergic neurons in cerebral cortex
Taniguchi, H., He, M., Wu, P., Kim, S., Paik, R., Sugino, K., Kvitsani, D., Fu, Y., Lu, J., Lin, Y., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.07.026 · Cited by 1,828
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Experience-dependent structural synaptic plasticity in the mammalian brain
Holtmaat, A., & Svoboda, K. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2699 · Cited by 1,934
Self-citationModulation of visual responses by behavioral state in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.033 · Cited by 1,483
“…in its visual cortex show response properties essentially identical to those known from decades of study in higher mammals (Hü bener, 2003; Niell and Stryker, 2008), and powerful genetic tools for the dissection of the underlying circuit mechanisms are available in this species (Luo et al., 2008).”
Neural syntax: cell assemblies, synapsembles, and readers
Buzsáki, G. (2010) · Neuron · doi:10.1016/j.neuron.2010.09.023 · Cited by 1,289
The anatomy of memory: an interactive overview of the parahippocampal–hippocampal network
van Strien, N. M., Cappaert, N. L. M., & Witter, M. P. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2614 · Cited by 1,041
Daigle, T. L., Madisen, L., Hage, T. A., Valley, M. T., Knoblich, U., Larsen, R. S., Takeno, M. M., Huang, L., Gu, H., Larsen, R., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.035 · Cited by 817
Genetic dissection of an amygdala microcircuit that gates conditioned fear
Haubensak, W., Kunwar, P. S., Cai, H., Ciocchi, S., Wall, N. R., Ponnusamy, R., Biag, J., Dong, H.-W., Deisseroth, K., Callaway, E. M., et al. (2010) · Nature · doi:10.1038/nature09553 · Cited by 840
Self-citationThe excitatory neuronal network of the C2 barrel column in mouse primary somatosensory cortex
Lefort, S., Tomm, C., Floyd Sarria, J.-C., & Petersen, C. C. H. (2009) · Neuron · doi:10.1016/j.neuron.2008.12.020 · Cited by 875
Functional imaging of hippocampal place cells at cellular resolution during virtual navigation
Dombeck, D. A., Harvey, C. D., Tian, L., Looger, L. L., & Tank, D. W. (2010) · Nature Neuroscience · doi:10.1038/nn.2648 · Cited by 873
Structural Properties of the Caenorhabditis elegans Neuronal Network
Varshney, L. R., Chen, B. L., Paniagua, E., Hall, D. H., & Chklovskii, D. B. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001066 · Cited by 867
Identification of region-specific astrocyte subtypes at single cell resolution
Batiuk, M. Y., Martirosyan, A., Wahis, J., de Vin, F., Marneffe, C., Kusserow, C., Koeppen, J., Viana, J. F., Oliveira, J. F., Voet, T., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-14198-8 · Cited by 805
Neural Networks of the Mouse Neocortex
Zingg, B., Hintiryan, H., Gou, L., Song, M. Y., Bay, M., Bienkowski, M. S., Foster, N. N., Yamashita, S., Bowman, I., Toga, A. W., et al. (2014) · Cell · doi:10.1016/j.cell.2014.02.023 · Cited by 797
Chiang, A.-S., Lin, C.-Y., Chuang, C.-C., Chang, H.-M., Hsieh, C.-H., Yeh, C.-W., Shih, C.-T., Wu, J.-J., Wang, G.-T., Chen, Y.-C., et al. (2011) · Current Biology · doi:10.1016/j.cub.2010.11.056 · Cited by 767
Guenthner, C. J., Miyamichi, K., Yang, H. H., Heller, H. C., & Luo, L. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.025 · Cited by 705
Self-citationViral-genetic tracing of the input-output organization of a central noradrenaline circuit
Schwarz, L. A., Miyamichi, K., Gao, X. J., Beier, K. T., Weissbourd, B., DeLoach, K. E., Ren, J., Ibanes, S., Malenka, R. C., Kremer, E. J., et al. (2015) · Nature · doi:10.1038/nature14600 · Cited by 744
Self-citationA synaptic organizing principle for cortical neuronal groups
Perin, R., Berger, T. K., & Markram, H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016051108 · Cited by 718
Flow of cortical activity underlying a tactile decision in mice
Guo, Z. V., Li, N., Huber, D., Ophir, E., Gutnisky, D., Ting, J. T., Feng, G., & Svoboda, K. (2014) · Neuron · doi:10.1016/j.neuron.2013.10.020 · Cited by 715
Self-citationOptogenetic interrogation of neural circuits: technology for probing mammalian brain structures
Zhang, F., Gradinaru, V., Adamantidis, A. R., Durand, R., Airan, R. D., de Lecea, L., & Deisseroth, K. (2010) · Nature Protocols · doi:10.1038/nprot.2009.226 · Cited by 692
Development and plasticity of the primary visual cortex
Espinosa, J. S., & Stryker, M. P. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.009 · Cited by 672
Gerfen, C. R., Paletzki, R., & Heintz, N. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.016 · Cited by 647
Targeting cells with single vectors using multiple-feature Boolean logic
Fenno, L. E., Mattis, J., Ramakrishnan, C., Hyun, M., Lee, S. Y., He, M., Tucciarone, J., Selimbeyoglu, A., Berndt, A., Grosenick, L., et al. (2014) · Nature Methods · doi:10.1038/nmeth.2996 · Cited by 557
Aschauer, D. F., Kreuz, S., & Rumpel, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076310 · Cited by 522
Neuronal circuits of fear extinction
Herry, C., Ferraguti, F., Singewald, N., Letzkus, J. J., Ehrlich, I., & Lüthi, A. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07101.x · Cited by 484
Fast nonnegative deconvolution for spike train inference from population calcium imaging
Vogelstein, J. T., Packer, A. M., Machado, T. A., Sippy, T., Babadi, B., Yuste, R., & Paninski, L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.01073.2009 · Cited by 449
Rapid Neocortical Dynamics: Cellular and Network Mechanisms
Haider, B., & McCormick, D. A. (2009) · Neuron · doi:10.1016/j.neuron.2009.04.008 · Cited by 441
Transcriptional Architecture of Synaptic Communication Delineates GABAergic Neuron Identity
Paul, A., Crow, M., Raudales, R., He, M., Gillis, J., & Huang, Z. J. (2017) · Cell · doi:10.1016/j.cell.2017.08.032 · Cited by 421
Optogenetic dissection of a behavioural module in the vertebrate spinal cord
Wyart, C., Bene, F. D., Warp, E., Scott, E. K., Trauner, D., Baier, H., & Isacoff, E. Y. (2009) · Nature · doi:10.1038/nature08323 · Cited by 409
Generation of a synthetic memory trace
Garner, A. R., Rowland, D. C., Hwang, S. Y., Baumgaertel, K., Roth, B. L., Kentros, C., & Mayford, M. (2012) · Science · doi:10.1126/science.1214985 · Cited by 387
Automated monitoring and analysis of social behavior in Drosophila
Dankert, H., Wang, L., Hoopfer, E. D., Anderson, D. J., & Perona, P. (2009) · Nature Methods · doi:10.1038/nmeth.1310 · Cited by 382
The organization of two new cortical interneuronal circuits
Jiang, X., Wang, G., Lee, A. J., Stornetta, R. L., & Zhu, J. J. (2013) · Nature Neuroscience · doi:10.1038/nn.3305 · Cited by 338
Wired for Sex: The Neurobiology of Drosophila Mating Decisions
Dickson, B. J. (2008) · Science · doi:10.1126/science.1159276 · Cited by 314
Long‐range connectivity of mouse primary somatosensory barrel cortex
Aronoff, R., Matyas, F., Mateo, C., Ciron, C., Schneider, B., & Petersen, C. C. H. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07264.x · Cited by 323
Inagaki, H. K., Jung, Y., Hoopfer, E. D., Wong, A. M., Mishra, N., Lin, J. Y., Tsien, R. Y., & Anderson, D. J. (2014) · Nature Methods · doi:10.1038/nmeth.2765 · Cited by 321
Hypothalamic Survival Circuits: Blueprints for Purposive Behaviors
Sternson, S. M. (2013) · Neuron · doi:10.1016/j.neuron.2013.02.018 · Cited by 313
Disentangling neural cell diversity using single-cell transcriptomics
Poulin, J.-F., Tasic, B., Hjerling-Leffler, J., Trimarchi, J. M., & Awatramani, R. (2016) · Nature Neuroscience · doi:10.1038/nn.4366 · Cited by 293
The Neural Substrate of Spectral Preference in Drosophila
Gao, S., Takemura, S.-Y., Ting, C.-Y., Huang, S., Lu, Z., Luan, H., Rister, J., Thum, A. S., Yang, M., Hong, S.-T., et al. (2008) · Neuron · doi:10.1016/j.neuron.2008.08.010 · Cited by 284
Bohland, J. W., Wu, C., Barbas, H., Bokil, H., Bota, M., Breiter, H. C., Cline, H. T., Doyle, J. C., Freed, P. J., Greenspan, R. J., et al. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000334 · Cited by 261
Self-citationNeural coding during active somatosensation revealed using illusory touch
O'Connor, D. H., Hires, S. A., Guo, Z. V., Li, N., Yu, J., Sun, Q.-Q., Huber, D., & Svoboda, K. (2013) · Nature Neuroscience · doi:10.1038/nn.3419 · Cited by 252
Self-citationNelson, S. B., & Turrigiano, G. G. (2008) · Neuron · doi:10.1016/j.neuron.2008.10.020 · Cited by 233
Genetic Approaches to Neural Circuits in the Mouse
Josh Huang, Z., & Zeng, H. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062012-170307 · Cited by 200
Recent advances in neurotechnologies with broad potential for neuroscience research
Vázquez-Guardado, A., Yang, Y., Bandodkar, A. J., & Rogers, J. A. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00739-8 · Cited by 202
Biag, J., Huang, Y., Gou, L., Hintiryan, H., Askarinam, A., Hahn, J. D., Toga, A. W., & Dong, H. (2012) · Journal of Comparative Neurology · doi:10.1002/cne.22698 · Cited by 205
A neural switch for active and passive fear
Gozzi, A., Jain, A., Giovanelli, A., Bertollini, C., Crestan, V., Schwarz, A. J., Tsetsenis, T., Ragozzino, D., Gross, C. T., & Bifone, A. (2010) · Neuron · doi:10.1016/j.neuron.2010.07.008 · Cited by 209
Xing, B., Li, Y.-C., & Gao, W.-J. (2016) · Brain Research · doi:10.1016/j.brainres.2016.01.005 · Cited by 196
A Student’s Guide to Neural Circuit Tracing
Saleeba, C., Dempsey, B., Le, S., Goodchild, A., & McMullan, S. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00897 · Cited by 153
Natural whisker-guided behavior by head-fixed mice in tactile virtual reality
Sofroniew, N. J., Cohen, J. D., Lee, A. K., & Svoboda, K. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.0712-14.2014 · Cited by 165
Self-citationNectow, A. R., & Nestler, E. J. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-020-00382-z · Cited by 159
Single-neuron labeling with inducible Cre-mediated knockout in transgenic mice
Young, P., Qiu, L., Wang, D., Zhao, S., Gross, J., & Feng, G. (2008) · Nature Neuroscience · doi:10.1038/nn.2118 · Cited by 152
Psychiatric Manifestations of Paraneoplastic Disorders
Kayser, M. S., Kohler, C. G., & Dalmau, J. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09101547 · Cited by 129
Nässel, D. R. (2009) · Invertebrate Neuroscience · doi:10.1007/s10158-009-0090-1 · Cited by 125
The Neuron Identity Problem: Form Meets Function
Fishell, G., & Heintz, N. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.035 · Cited by 115
Genetic dissection of GABAergic neural circuits in mouse neocortex
Taniguchi, H. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00008 · Cited by 106
Crocker, A., Guan, X.-J., Murphy, C. T., & Murthy, M. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.04.046 · Cited by 108
Mapping cell fate and function using recombinase-based intersectional strategies
Dymecki, S. M., Ray, R. S., & Kim, J. C. (2010) · Methods in Enzymology · doi:10.1016/s0076-6879(10)77011-7 · Cited by 104
Debanne, D., Boudkkazi, S., Campanac, E., Cudmore, R. H., Giraud, P., Fronzaroli-Molinieres, L., Carlier, E., & Caillard, O. (2008) · Nature Protocols · doi:10.1038/nprot.2008.147 · Cited by 88
Theory of the Multiregional Neocortex: Large-Scale Neural Dynamics and Distributed Cognition
Wang, X.-J. (2022) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-110920-035434 · Cited by 83
Blankvoort, S., Witter, M. P., Noonan, J., Cotney, J., & Kentros, C. (2018) · Current Biology · doi:10.1016/j.cub.2018.05.015 · Cited by 72
Molecular genetics and imaging technologies for circuit-based neuroanatomy
Arenkiel, B. R., & Ehlers, M. D. (2009) · Nature · doi:10.1038/nature08536 · Cited by 78
Epigenomic Diversity of Cortical Projection Neurons in the Mouse Brain
Zhang, Z., Zhou, J., Tan, P., Pang, Y., Rivkin, A., Kirchgessner, M. A., Williams, E., Lee, C.-T., Liu, H., Franklin, A. D., et al. (2020) · doi:10.1101/2020.04.01.019612 · Cited by 75
Self-citationZou, L., Tian, H., Guan, S., Ding, J., Gao, L., Wang, J., & Fang, Y. (2021) · Nature Communications · doi:10.1038/s41467-021-26168-0 · Cited by 60
Leveraging calcium imaging to illuminate circuit dysfunction in addiction
Siciliano, C. A., & Tye, K. M. (2019) · Alcohol · doi:10.1016/j.alcohol.2018.05.013 · Cited by 53
Of what use is connectomics? A personal perspective on the Drosophila connectome
Meinertzhagen, I. A. (2018) · Journal of Experimental Biology · doi:10.1242/jeb.164954 · Cited by 53
MET Receptor Tyrosine Kinase as an Autism Genetic Risk Factor
Peng, Y., Huentelman, M., Smith, C., & Qiu, S. (2013) · International Review of Neurobiology · doi:10.1016/b978-0-12-418700-9.00005-8 · Cited by 49
Wang, Q., Henry, A. M., Harris, J. A., Oh, S. W., Joines, K. M., Nyhus, J., Hirokawa, K. E., Dee, N., Mortrud, M., Parry, S., et al. (2014) · Journal of Comparative Neurology · doi:10.1002/cne.23567 · Cited by 44
Lee, A. M., Tai, L.-H., Zador, A., & Wilbrecht, L. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2014.12.042 · Cited by 37
Pang, Z. P., & Han, W. (2012) · Bioscience Reports · doi:10.1042/bsr20120026 · Cited by 34
Shifting the paradigm: new approaches for characterizing and classifying neurons
Bernard, A., Sorensen, S. A., & Lein, E. S. (2009) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2009.09.010 · Cited by 26
Optogenetic perturbations reveal the dynamics of an oculomotor integrator
Gonçalves, P. J., Arrenberg, A. B., Hablitzel, B., Baier, H., & Machens, C. K. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00010 · Cited by 28
Linking neuronal structure to function in rodent hippocampus: a methodological prospective
Preston-Ferrer, P., & Burgalossi, A. (2018) · Cell and Tissue Research · doi:10.1007/s00441-017-2732-7 · Cited by 11
Viral Vectors for Studying Brain Mechanisms that Control Energy Homeostasis
Mancini, G., & Horvath, T. L. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.05.015 · Cited by 10
Metadata
- Authors
- Luo, L., Callaway, E. M., & Svoboda, K.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2008-03
- Volume
- 57
- Issue
- 5
- Pages
- 634-660
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W1999055090
- Cited by
- 756
- References
- 35
- FWCI
- 30.95
- Type
- journal article
- Language
- en
- Open access
- bronze
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