The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Molecular and Cellular Approaches for Diversifying and Extending Optogenetics
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Parvalbumin neurons and gamma rhythms enhance cortical circuit performance
Sohal, V. S., Zhang, F., Yizhar, O., & Deisseroth, K. (2009) · Nature · doi:10.1038/nature07991 · Cited by 2,606
Self-citationDriving fast-spiking cells induces gamma rhythm and controls sensory responses
Cardin, J. A., Carlén, M., Meletis, K., Knoblich, U., Zhang, F., Deisseroth, K., Tsai, L.-H., & Moore, C. I. (2009) · Nature · doi:10.1038/nature08002 · Cited by 2,603
Self-citationNeural substrates of awakening probed with optogenetic control of hypocretin neurons
Adamantidis, A. R., Zhang, F., Aravanis, A. M., Deisseroth, K., & de Lecea, L. (2007) · Nature · doi:10.1038/nature06310 · Cited by 1,341
Self-citationPhasic Firing in Dopaminergic Neurons Is Sufficient for Behavioral Conditioning
Tsai, H.-C., Zhang, F., Adamantidis, A., Stuber, G. D., Bonci, A., de Lecea, L., & Deisseroth, K. (2009) · Science · doi:10.1126/science.1168878 · Cited by 1,266
Self-citationThe subcellular organization of neocortical excitatory connections
Petreanu, L., Mao, T., Sternson, S. M., & Svoboda, K. (2009) · Nature · doi:10.1038/nature07709 · Cited by 1,047
Channelrhodopsin-2-assisted circuit mapping of long-range callosal projections
Petreanu, L., Huber, D., Sobczyk, A., & Svoboda, K. (2007) · Nature Neuroscience · doi:10.1038/nn1891 · Cited by 930
Sparse optical microstimulation in barrel cortex drives learned behaviour in freely moving mice
Huber, D., Petreanu, L., Ghitani, N., Ranade, S., Hromádka, T., Mainen, Z., & Svoboda, K. (2008) · Nature · doi:10.1038/nature06445 · Cited by 539
Research works printed but not linked: 70
- Airan, 2009, Temporally precise in vivo control of intracellular signalling, Nature, 458, 1025, 10.1038/nature07926 · DOI
- Aravanis, 2007, An optical neural interface: in vivo control of rodent motor cortex with integrated fiberoptic and optogenetic technology, J. Neural Eng., 4, S143, 10.1088/1741-2560/4/3/S02 · DOI
- Arenkiel, 2007, In vivo light-induced activation of neural circuitry in transgenic mice expressing channelrhodopsin-2, Neuron, 54, 205, 10.1016/j.neuron.2007.03.005 · DOI · Paper page
- Arrenberg, 2009, Optical control of zebrafish behavior with halorhodopsin, Proc. Natl. Acad. Sci. USA, 106, 17968, 10.1073/pnas.0906252106 · DOI
- Berndt, 2009, Bi-stable neural state switches, Nat. Neurosci., 12, 229, 10.1038/nn.2247 · DOI
- Bi, 1998, Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type, J. Neurosci., 18, 10464, 10.1523/JNEUROSCI.18-24-10464.1998 · DOI · Paper page
- Bi, 2006, Ectopic expression of a microbial-type rhodopsin restores visual responses in mice with photoreceptor degeneration, Neuron, 50, 23, 10.1016/j.neuron.2006.02.026 · DOI · Paper page
- Boyden, 2005, Millisecond-timescale, genetically targeted optical control of neural activity, Nat. Neurosci., 8, 1263, 10.1038/nn1525 · DOI · Paper page
- Burger, 2004, Recombinant AAV viral vectors pseudotyped with viral capsids from serotypes 1, 2, and 5 display differential efficiency and cell tropism after delivery to different regions of the central nervous system, Mol. Ther., 10, 302, 10.1016/j.ymthe.2004.05.024 · DOI · Paper page
- Callaway, 2008, Transneuronal circuit tracing with neurotropic viruses, Curr. Opin. Neurobiol., 18, 617, 10.1016/j.conb.2009.03.007 · DOI
- Cardin, 2010, Targeted optogenetic stimulation and recording of neurons in vivo using cell-type-specific expression of Channelrhodopsin-2, Nat. Protoc., 5, 247, 10.1038/nprot.2009.228 · DOI
- Chow, 2010, High-performance genetically targetable optical neural silencing by light-driven proton pumps, Nature, 463, 98, 10.1038/nature08652 · DOI · Paper page
- Colechio, 2009, Differential topography of the bilateral cortical projections to the whisker and forepaw regions in rat motor cortex, Brain Struct. Funct., 213, 423, 10.1007/s00429-009-0215-7 · DOI
- Deisseroth, 2006, Next-generation optical technologies for illuminating genetically targeted brain circuits, J. Neurosci., 26, 10380, 10.1523/JNEUROSCI.3863-06.2006 · DOI · Paper page
- Douglass, 2008, Escape behavior elicited by single, channelrhodopsin-2-evoked spikes in zebrafish somatosensory neurons, Curr. Biol., 18, 1133, 10.1016/j.cub.2008.06.077 · DOI
- Fleischmann, 2008, Mice with a “monoclonal nose”: perturbations in an olfactory map impair odor discrimination, Neuron, 60, 1068, 10.1016/j.neuron.2008.10.046 · DOI
- Freund, 1996, Interneurons of the hippocampus, Hippocampus, 6, 347, 10.1002/(SICI)1098-1063(1996)6:4<347::AID-HIPO1>3.0.CO;2-I · DOI · Paper page
- Gradinaru, 2007, Targeting and readout strategies for fast optical neural control in vitro and in vivo, J. Neurosci., 27, 14231, 10.1523/JNEUROSCI.3578-07.2007 · DOI · Paper page
- Gradinaru, 2008, eNpHR: a Natronomonas halorhodopsin enhanced for optogenetic applications, Brain Cell Biol., 36, 129, 10.1007/s11068-008-9027-6 · DOI
- Gradinaru, 2009, Optical deconstruction of parkinsonian neural circuitry, Science, 324, 354, 10.1126/science.1167093 · DOI · Paper page
- Gunaydin, 2010, Ultrafast optogenetic control, Nat. Neurosci., 13, 387, 10.1038/nn.2495 · DOI · Paper page
- Hägglund, 2010, Activation of groups of excitatory neurons in the mammalian spinal cord or hindbrain evokes locomotion, Nat. Neurosci., 13, 246, 10.1038/nn.2482 · DOI · Paper page
- Han, 2007, Multiple-color optical activation, silencing, and desynchronization of neural activity, with single-spike temporal resolution, PLoS ONE, 2, e299, 10.1371/journal.pone.0000299 · DOI
- Han, 2009, Millisecond-timescale optical control of neural dynamics in the nonhuman primate brain, Neuron, 62, 191, 10.1016/j.neuron.2009.03.011 · DOI
- Han, 2009, Informational lesions: optical perturbation of spike timing and neural synchrony via microbial opsin gene fusions, Front Mol Neurosci, 2, 12, 10.3389/neuro.02.012.2009 · DOI
- Hofherr, 2005, Selective Golgi export of Kir2.1 controls the stoichiometry of functional Kir2.x channel heteromers, J. Cell Sci., 118, 1935, 10.1242/jcs.02322 · DOI
- Hwang, 2007, Nociceptive neurons protect Drosophila larvae from parasitoid wasps, Curr. Biol., 17, 2105, 10.1016/j.cub.2007.11.029 · DOI · Paper page
- Ishizuka, 2006, Kinetic evaluation of photosensitivity in genetically engineered neurons expressing green algae light-gated channels, Neurosci. Res., 54, 85, 10.1016/j.neures.2005.10.009 · DOI · Paper page
- Kalaidzidis, 1998, Flash-induced voltage changes in halorhodopsin from Natronobacterium pharaonis, FEBS Lett., 427, 59, 10.1016/S0014-5793(98)00394-9 · DOI
- Kissa, 2002, In vivo neuronal tracing with GFP-TTC gene delivery, Mol. Cell. Neurosci., 20, 627, 10.1006/mcne.2002.1141 · DOI
- Lanyi, 1982, Identification of the retinal-binding protein in halorhodopsin, J. Biol. Chem., 257, 2674, 10.1016/S0021-9258(18)34976-7 · DOI
- Levskaya, 2009, Spatiotemporal control of cell signalling using a light-switchable protein interaction, Nature, 461, 997, 10.1038/nature08446 · DOI · Paper page
- Lewis, 2009, Myosin-dependent targeting of transmembrane proteins to neuronal dendrites, Nat. Neurosci., 12, 568, 10.1038/nn.2318 · DOI
- Li, 2005, Fast noninvasive activation and inhibition of neural and network activity by vertebrate rhodopsin and green algae channelrhodopsin, Proc. Natl. Acad. Sci. USA, 102, 17816, 10.1073/pnas.0509030102 · DOI · Paper page
- Lima, 2009, PINP: a new method of tagging neuronal populations for identification during in vivo electrophysiological recording, PLoS One, 4, e6099, 10.1371/journal.pone.0006099 · DOI
- Lin, 2009, Characterization of engineered channelrhodopsin variants with improved properties and kinetics, Biophys. J., 96, 1803, 10.1016/j.bpj.2008.11.034 · DOI · Paper page
- Lozier, 1975, Bacteriorhodopsin: a light-driven proton pump in Halobacterium Halobium, Biophys. J., 15, 955, 10.1016/S0006-3495(75)85875-9 · DOI
- Marti, 1991, Bacteriorhodopsin mutants containing single substitutions of serine or threonine residues are all active in proton translocation, J. Biol. Chem., 266, 6919, 10.1016/S0021-9258(20)89590-8 · DOI
- Maskos, 2002, Retrograde trans-synaptic transfer of green fluorescent protein allows the genetic mapping of neuronal circuits in transgenic mice, Proc. Natl. Acad. Sci. USA, 99, 10120, 10.1073/pnas.152266799 · DOI
- Nagel, 2003, Channelrhodopsin-2, a directly light-gated cation-selective membrane channel, Proc. Natl. Acad. Sci. USA, 100, 13940, 10.1073/pnas.1936192100 · DOI · Paper page
- Nathanson, 2009, Preferential labeling of inhibitory and excitatory cortical neurons by endogenous tropism of adeno-associated virus and lentivirus vectors, Neuroscience, 161, 441, 10.1016/j.neuroscience.2009.03.032 · DOI
- Passini, 2005, AAV vector-mediated correction of brain pathology in a mouse model of Niemann-Pick A disease, Mol. Ther., 11, 754, 10.1016/j.ymthe.2005.01.011 · DOI
- Paterna, 2004, Transduction profiles of recombinant adeno-associated virus vectors derived from serotypes 2 and 5 in the nigrostriatal system of rats, J. Virol., 78, 6808, 10.1128/JVI.78.13.6808-6817.2004 · DOI
- Perreault, 2006, C fragment of tetanus toxin hybrid proteins evaluated for muscle-specific transsynaptic mapping of spinal motor circuitry in the newborn mouse, Neuroscience, 141, 803, 10.1016/j.neuroscience.2006.04.008 · DOI
- Ratzliff, 2004, Rapid deletion of mossy cells does not result in a hyperexcitable dentate gyrus: implications for epileptogenesis, J. Neurosci., 24, 2259, 10.1523/JNEUROSCI.5191-03.2004 · DOI
- Ryan, 1994, Foot-and-mouth disease virus 2A oligopeptide mediated cleavage of an artificial polyprotein, EMBO J., 13, 928, 10.1002/j.1460-2075.1994.tb06337.x · DOI · Paper page
- Sano, 2007, Inducible expression of retrograde transynaptic genetic tracer in mice, Genesis, 45, 123, 10.1002/dvg.20273 · DOI
- Sato, 2005, Role of putative anion-binding sites in cytoplasmic and extracellular channels of Natronomonas pharaonis halorhodopsin, Biochemistry, 44, 4775, 10.1021/bi047500f · DOI
- Schröder-Lang, 2007, Fast manipulation of cellular cAMP level by light in vivo, Nat. Methods, 4, 39, 10.1038/nmeth975 · DOI
- Shu, 2009, Mammalian expression of infrared fluorescent proteins engineered from a bacterial phytochrome, Science, 324, 804, 10.1126/science.1168683 · DOI · Paper page
- Silberberg, 2004, Synaptic dynamics control the timing of neuronal excitation in the activated neocortical microcircuit, J. Physiol., 556, 19, 10.1113/jphysiol.2004.060962 · DOI
- Simon, 1993, Mechanisms of translocation of proteins across membranes, Subcell. Biochem., 21, 1, 10.1007/978-1-4615-2912-5_1 · DOI
- Sineshchekov, 2005, Rhodopsin-mediated photoreception in cryptophyte flagellates, Biophys. J., 89, 4310, 10.1529/biophysj.105.070920 · DOI
- Stoeckenius, 1982, Bacteriorhodopsin and related pigments of halobacteria, Annu. Rev. Biochem., 51, 587, 10.1146/annurev.bi.51.070182.003103 · DOI
- Sugita, 2005, Genetic tracing shows segregation of taste neuronal circuitries for bitter and sweet, Science, 309, 781, 10.1126/science.1110787 · DOI
- Tang, 2009, Faithful expression of multiple proteins via 2A-peptide self-processing: a versatile and reliable method for manipulating brain circuits, J. Neurosci., 29, 8621, 10.1523/JNEUROSCI.0359-09.2009 · DOI
- Tengholm, 2009, Oscillatory control of insulin secretion, Mol. Cell. Endocrinol., 297, 58, 10.1016/j.mce.2008.07.009 · DOI
- Tønnesen, 2009, Optogenetic control of epileptiform activity, Proc. Natl. Acad. Sci. USA, 106, 12162, 10.1073/pnas.0901915106 · DOI
- Tsunoda, 2006, H+ -pumping rhodopsin from the marine alga Acetabularia, Biophys. J., 91, 1471, 10.1529/biophysj.106.086421 · DOI
- Wang, 2007, High-speed mapping of synaptic connectivity using photostimulation in Channelrhodopsin-2 transgenic mice, Proc. Natl. Acad. Sci. USA, 104, 8143, 10.1073/pnas.0700384104 · DOI
- Wu, 2009, A genetically encoded photoactivatable Rac controls the motility of living cells, Nature, 461, 104, 10.1038/nature08241 · DOI · Paper page
- Yooseph, 2007, The Sorcerer II Global Ocean Sampling expedition: expanding the universe of protein families, PLoS Biol., 5, e16, 10.1371/journal.pbio.0050016 · DOI
- Yoshimura, 2005, Excitatory cortical neurons form fine-scale functional networks, Nature, 433, 868, 10.1038/nature03252 · DOI · Paper page
- Zhang, 2007, Optical induction of synaptic plasticity using a light-sensitive channel, Nat. Methods, 4, 139, 10.1038/nmeth988 · DOI
- Zhang, 2006, Channelrhodopsin-2 and optical control of excitable cells, Nat. Methods, 3, 785, 10.1038/nmeth936 · DOI
- Zhang, 2007, Multimodal fast optical interrogation of neural circuitry, Nature, 446, 633, 10.1038/nature05744 · DOI · Paper page
- Zhang, 2007, Circuit-breakers: optical technologies for probing neural signals and systems, Nat. Rev. Neurosci., 8, 577, 10.1038/nrn2192 · DOI · Paper page
- Zhang, 2008, Red-shifted optogenetic excitation: a tool for fast neural control derived from Volvox carteri, Nat. Neurosci., 11, 631, 10.1038/nn.2120 · DOI · Paper page
- Zhang, 2010, Optogenetic interrogation of neural circuits: technology for probing mammalian brain structures, Nat. Protoc., 5, 439, 10.1038/nprot.2009.226 · DOI · Paper page
- Zhao, 2008, Improved expression of halorhodopsin for light-induced silencing of neuronal activity, Brain Cell Biol., 36, 141, 10.1007/s11068-008-9034-7 · DOI
Cited by
Neocortical excitation/inhibition balance in information processing and social dysfunction
Yizhar, O., Fenno, L. E., Prigge, M., Schneider, F., Davidson, T. J., O’Shea, D. J., Sohal, V. S., Goshen, I., Finkelstein, J., Paz, J. T., et al. (2011) · Nature · doi:10.1038/nature10360 · Cited by 2,454
Self-citationIndependent optical excitation of distinct neural populations
Klapoetke, N. C., Murata, Y., Kim, S. S., Pulver, S. R., Birdsey-Benson, A., Cho, Y. K., Morimoto, T. K., Chuong, A. S., Carpenter, E. J., Tian, Z., et al. (2014) · Nature Methods · doi:10.1038/nmeth.2836 · Cited by 2,344
Animal models of neuropsychiatric disorders
Nestler, E. J., & Hyman, S. E. (2010) · Nature Neuroscience · doi:10.1038/nn.2647 · Cited by 2,023
Optogenetics in neural systems
Yizhar, O., Fenno, L. E., Davidson, T. J., Mogri, M., & Deisseroth, K. (2011) · Neuron · doi:10.1016/j.neuron.2011.06.004 · Cited by 1,881
Self-citationThe development and application of optogenetics
Fenno, L., Yizhar, O., & Deisseroth, K. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113817 · Cited by 1,822
Self-citationRoth, B. L. (2016) · Neuron · doi:10.1016/j.neuron.2016.01.040 · Cited by 1,742
A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing
Madisen, L., Mao, T., Koch, H., Zhuo, J.-M., Berenyi, A., Fujisawa, S., Hsu, Y.-W. A., Garcia, A. J., Gu, X., Zanella, S., et al. (2012) · Nature Neuroscience · doi:10.1038/nn.3078 · Cited by 1,398
Natural neural projection dynamics underlying social behavior
Gunaydin, L. A., Grosenick, L., Finkelstein, J. C., Kauvar, I. V., Fenno, L. E., Adhikari, A., Lammel, S., Mirzabekov, J. J., Airan, R. D., Zalocusky, K. A., et al. (2014) · Cell · doi:10.1016/j.cell.2014.05.017 · Cited by 1,389
Self-citationAmygdala circuitry mediating reversible and bidirectional control of anxiety
Tye, K. M., Prakash, R., Kim, S.-Y., Fenno, L. E., Grosenick, L., Zarabi, H., Thompson, K. R., Gradinaru, V., Ramakrishnan, C., & Deisseroth, K. (2011) · Nature · doi:10.1038/nature09820 · Cited by 1,289
Self-citationMadisen, L., Garner, A. R., Shimaoka, D., Chuong, A. S., Klapoetke, N. C., Li, L., van der Bourg, A., Niino, Y., Egolf, L., Monetti, C., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.022 · Cited by 1,114
Ketamine blocks bursting in the lateral habenula to rapidly relieve depression
Yang, Y., Cui, Y., Sang, K., Dong, Y., Ni, Z., Ma, S., & Hu, H. (2018) · Nature · doi:10.1038/nature25509 · Cited by 1,036
Excitatory transmission from the amygdala to nucleus accumbens facilitates reward seeking
Stuber, G. D., Sparta, D. R., Stamatakis, A. M., van Leeuwen, W. A., Hardjoprajitno, J. E., Cho, S., Tye, K. M., Kempadoo, K. A., Zhang, F., Deisseroth, K., et al. (2011) · Nature · doi:10.1038/nature10194 · Cited by 878
Self-citationMattis, J., Tye, K. M., Ferenczi, E. A., Ramakrishnan, C., O'Shea, D. J., Prakash, R., Gunaydin, L. A., Hyun, M., Fenno, L. E., Gradinaru, V., et al. (2012) · Nature Methods · doi:10.1038/nmeth.1808 · Cited by 780
Self-citationOptogenetic investigation of neural circuits underlying brain disease in animal models
Tye, K. M., & Deisseroth, K. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3171 · Cited by 745
Self-citationNeuroplasticity in the context of motor rehabilitation after stroke
Dimyan, M. A., & Cohen, L. G. (2011) · Nature Reviews Neurology · doi:10.1038/nrneurol.2010.200 · Cited by 732
Hippocampal–prefrontal input supports spatial encoding in working memory
Spellman, T., Rigotti, M., Ahmari, S. E., Fusi, S., Gogos, J. A., & Gordon, J. A. (2015) · Nature · doi:10.1038/nature14445 · Cited by 693
A neural circuit for spatial summation in visual cortex
Adesnik, H., Bruns, W., Taniguchi, H., Huang, Z. J., & Scanziani, M. (2012) · Nature · doi:10.1038/nature11526 · Cited by 702
Integration of optogenetics with complementary methodologies in systems neuroscience
Kim, C. K., Adhikari, A., & Deisseroth, K. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.15 · Cited by 690
Self-citationWitten, I. B., Steinberg, E. E., Lee, S. Y., Davidson, T. J., Zalocusky, K. A., Brodsky, M., Yizhar, O., Cho, S. L., Gong, S., Ramakrishnan, C., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.10.028 · Cited by 680
Self-citationCanales, A., Jia, X., Froriep, U. P., Koppes, R. A., Tringides, C. M., Selvidge, J., Lu, C., Hou, C., Wei, L., Fink, Y., et al. (2015) · Nature Biotechnology · doi:10.1038/nbt.3093 · Cited by 668
Diverging neural pathways assemble a behavioural state from separable features in anxiety
Kim, S.-Y., Adhikari, A., Lee, S. Y., Marshel, J. H., Kim, C. K., Mallory, C. S., Lo, M., Pak, S., Mattis, J., Lim, B. K., et al. (2013) · Nature · doi:10.1038/nature12018 · Cited by 666
Self-citationA Neural Circuit for Memory Specificity and Generalization
Xu, W., & Südhof, T. C. (2013) · Science · doi:10.1126/science.1229534 · Cited by 634
Antidepressant effect of optogenetic stimulation of the medial prefrontal cortex
Covington, H. E., Lobo, M. K., Maze, I., Vialou, V., Hyman, J. M., Zaman, S., LaPlant, Q., Mouzon, E., Ghose, S., Tamminga, C. A., et al. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.1731-10.2010 · Cited by 621
Self-citationBLA to vHPC inputs modulate anxiety-related behaviors
Felix-Ortiz, A. C., Beyeler, A., Seo, C., Leppla, C. A., Wildes, C. P., & Tye, K. M. (2013) · Neuron · doi:10.1016/j.neuron.2013.06.016 · Cited by 592
Gain control by layer six in cortical circuits of vision
Olsen, S. R., Bortone, D. S., Adesnik, H., & Scanziani, M. (2012) · Nature · doi:10.1038/nature10835 · Cited by 539
A temporal shift in the circuits mediating retrieval of fear memory
Do-Monte, F. H., Quiñones-Laracuente, K., & Quirk, G. J. (2015) · Nature · doi:10.1038/nature14030 · Cited by 491
Scalable control of mounting and attack by Esr1+ neurons in the ventromedial hypothalamus
Lee, H., Kim, D.-W., Remedios, R., Anthony, T. E., Chang, A., Madisen, L., Zeng, H., & Anderson, D. J. (2014) · Nature · doi:10.1038/nature13169 · Cited by 479
Unique functional properties of somatostatin-expressing GABAergic neurons in mouse barrel cortex
Gentet, L. J., Kremer, Y., Taniguchi, H., Huang, Z. J., Staiger, J. F., & Petersen, C. C. H. (2012) · Nature Neuroscience · doi:10.1038/nn.3051 · Cited by 438
Amygdala inputs to the ventral hippocampus bidirectionally modulate social behavior
Felix-Ortiz, A. C., & Tye, K. M. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.4257-13.2014 · Cited by 473
Cholinergic Interneurons Control Local Circuit Activity and Cocaine Conditioning
Witten, I. B., Lin, S.-C., Brodsky, M., Prakash, R., Diester, I., Anikeeva, P., Gradinaru, V., Ramakrishnan, C., & Deisseroth, K. (2010) · Science · doi:10.1126/science.1193771 · Cited by 467
Self-citationIzquierdo, I., Furini, C. R. G., & Myskiw, J. C. (2016) · Physiological Reviews · doi:10.1152/physrev.00018.2015 · Cited by 453
An optogenetic toolbox designed for primates
Diester, I., Kaufman, M. T., Mogri, M., Pashaie, R., Goo, W., Yizhar, O., Ramakrishnan, C., Deisseroth, K., & Shenoy, K. V. (2011) · Nature Neuroscience · doi:10.1038/nn.2749 · Cited by 443
Self-citationHong, W., Kim, D.-W., & Anderson, D. J. (2014) · Cell · doi:10.1016/j.cell.2014.07.049 · Cited by 405
A Materials Roadmap to Functional Neural Interface Design
Wellman, S. M., Eles, J. R., Ludwig, K. A., Seymour, J. P., Michelson, N. J., McFadden, W. E., Vazquez, A. L., & Kozai, T. D. Y. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201701269 · Cited by 389
OLM interneurons differentially modulate CA3 and entorhinal inputs to hippocampal CA1 neurons
Leão, R. N., Mikulovic, S., Leão, K. E., Munguba, H., Gezelius, H., Enjin, A., Patra, K., Eriksson, A., Loew, L. M., Tort, A. B. L., et al. (2012) · Nature Neuroscience · doi:10.1038/nn.3235 · Cited by 359
Clustered dynamics of inhibitory synapses and dendritic spines in the adult neocortex.
Chen, J. L., Villa, K. L., Cha, J. W., So, P. T. C., Kubota, Y., & Nedivi, E. (2012) · Neuron · doi:10.1016/j.neuron.2012.02.030 · Cited by 341
Remote Control of Neuronal Signaling
Rogan, S. C., & Roth, B. L. (2011) · Pharmacological Reviews · doi:10.1124/pr.110.003020 · Cited by 339
Behaviour-dependent recruitment of long-range projection neurons in somatosensory cortex
Chen, J. L., Carta, S., Soldado-Magraner, J., Schneider, B. L., & Helmchen, F. (2013) · Nature · doi:10.1038/nature12236 · Cited by 334
Retinal stimulation strategies to restore vision: fundamentals and systems
Yue, L., Weiland, J. D., Roska, B., & Humayun, M. S. (2016) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2016.05.002 · Cited by 272
Lobo, M. K., Zaman, S., Damez-Werno, D. M., Koo, J. W., Bagot, R. C., DiNieri, J. A., Nugent, A., Finkel, E., Chaudhury, D., Chandra, R., et al. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1875-13.2013 · Cited by 245
Wang, S.-H., Redondo, R. L., & Morris, R. G. M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1008638107 · Cited by 251
Delevich, K., Tucciarone, J., Huang, Z. J., & Li, B. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4565-14.2015 · Cited by 226
“0) in a Cre-dependent manner, which suppresses neuronal firing in response to red light (Gradinaru et al., 2010).”
BackgroundOrganization of long-range inputs and outputs of frontal cortex for top-down control
Zhang, S., Xu, M., Chang, W.-C., Ma, C., Hoang Do, J. P., Jeong, D., Lei, T., Fan, J. L., & Dan, Y. (2016) · Nature Neuroscience · doi:10.1038/nn.4417 · Cited by 242
Imaging neural circuit dynamics with a voltage-sensitive fluorescent protein
Akemann, W., Mutoh, H., Perron, A., Park, Y. K., Iwamoto, Y., & Knöpfel, T. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00452.2012 · Cited by 237
Orderly recruitment of motor units under optical control in vivo
Llewellyn, M. E., Thompson, K. R., Deisseroth, K., & Delp, S. L. (2010) · Nature Medicine · doi:10.1038/nm.2228 · Cited by 217
Self-citationGenetic 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
Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics
Bedbrook, C. N., Yang, K. K., Robinson, J. E., Mackey, E. D., Gradinaru, V., & Arnold, F. H. (2019) · Nature Methods · doi:10.1038/s41592-019-0583-8 · Cited by 205
Self-citationHindbrain V2a neurons in the excitation of spinal locomotor circuits during zebrafish swimming
Kimura, Y., Satou, C., Fujioka, S., Shoji, W., Umeda, K., Ishizuka, T., Yawo, H., & Higashijima, S.-I. (2013) · Current Biology · doi:10.1016/j.cub.2013.03.066 · Cited by 186
Smith, K. S., Virkud, A., Deisseroth, K., & Graybiel, A. M. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216264109 · Cited by 173
Self-citationBorton, D., Micera, S., Millán, J. D. R., & Courtine, G. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3005968 · Cited by 171
Communication in Neural Circuits: Tools, Opportunities, and Challenges
Lerner, T. N., Ye, L., & Deisseroth, K. (2016) · Cell · doi:10.1016/j.cell.2016.02.027 · Cited by 159
Self-citationOptogenetic Control of Targeted Peripheral Axons in Freely Moving Animals
Towne, C., Montgomery, K. L., Iyer, S. M., Deisseroth, K., & Delp, S. L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072691 · Cited by 156
Self-citationOptogenetic insights on the relationship between anxiety-related behaviors and social deficits
Allsop, S. A., Vander Weele, C. M., Wichmann, R., & Tye, K. M. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00241 · Cited by 150
Horowitz, E. D., Rahman, K. S., Bower, B. D., Dismuke, D. J., Falvo, M. R., Griffith, J. D., Harvey, S. C., & Asokan, A. (2013) · Journal of Virology · doi:10.1128/jvi.03017-12 · Cited by 139
Deconstructing behavioral neuropharmacology with cellular specificity
Shields, B. C., Kahuno, E., Kim, C., Apostolides, P. F., Brown, J., Lindo, S., Mensh, B. D., Dudman, J. T., Lavis, L. D., & Tadross, M. R. (2017) · Science · doi:10.1126/science.aaj2161 · Cited by 135
Ahmari, S. E., & Dougherty, D. D. (2015) · Depression and Anxiety · doi:10.1002/da.22367 · Cited by 128
Shining light on wakefulness and arousal
de Lecea, L., Carter, M. E., & Adamantidis, A. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.01.032 · Cited by 103
Optical Stimulation of Neurons
C. Thompson, A., R. Stoddart, P., & Jansen, E. D. (2015) · Current Molecular Imaging · doi:10.2174/2211555203666141117220611 · Cited by 105
“Since the development of ChR2 as a light-activated channel, a range of new opsins have been developed to allow inhibition of neurons, faster stimulation rates and response at longer wavelengths [22-24].”
BackgroundGuo, J., Otis, J. M., Suciu, S. K., Catalano, C., Xing, L., Constable, S., Wachten, D., Gupton, S., Lee, J., Lee, A., et al. (2019) · Developmental Cell · doi:10.1016/j.devcel.2019.11.005 · Cited by 100
Top-down control of sweet and bitter taste in the mammalian brain
Jin, H., Fishman, Z. H., Ye, M., Wang, L., & Zuker, C. S. (2021) · Cell · doi:10.1016/j.cell.2020.12.014 · Cited by 91
Transformations of neural representations in a social behaviour network
Yang, B., Karigo, T., & Anderson, D. J. (2022) · Nature · doi:10.1038/s41586-022-05057-6 · Cited by 93
Regulation of striatal cells and goal-directed behavior by cerebellar outputs
Xiao, L., Bornmann, C., Hatstatt-Burklé, L., & Scheiffele, P. (2018) · Nature Communications · doi:10.1038/s41467-018-05565-y · Cited by 82
Sparta, D. R., Smithuis, J., Stamatakis, A. M., Jennings, J. H., Kantak, P. A., Ung, R. L., & Stuber, G. D. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00129 · Cited by 75
Neuronal homeostasis: time for a change?
O’Leary, T., & Wyllie, D. J. A. (2011) · The Journal of Physiology · doi:10.1113/jphysiol.2011.210179 · Cited by 74
Optogenetic Light Sensors in Human Retinal Organoids
Garita-Hernandez, M., Guibbal, L., Toualbi, L., Routet, F., Chaffiol, A., Winckler, C., Harinquet, M., Robert, C., Fouquet, S., Bellow, S., et al. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00789 · Cited by 65
New dimensions of interneuronal specialization unmasked by principal cell heterogeneity
Krook-Magnuson, E., Varga, C., Lee, S.-H., & Soltesz, I. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2011.10.005 · Cited by 63
Tools for Resolving Functional Activity and Connectivity within Intact Neural Circuits
Jennings, J. H., & Stuber, G. D. (2014) · Current Biology · doi:10.1016/j.cub.2013.11.042 · Cited by 54
Topographical representation of odor hedonics in the olfactory bulb
Kermen, F., Midroit, M., Kuczewski, N., Forest, J., Thévenet, M., Sacquet, J., Benetollo, C., Richard, M., Didier, A., & Mandairon, N. (2016) · Nature Neuroscience · doi:10.1038/nn.4317 · Cited by 55
Neural processing of the reward value of pleasant odorants
Midroit, M., Chalençon, L., Renier, N., Milton, A., Thevenet, M., Sacquet, J., Breton, M., Forest, J., Noury, N., Richard, M., et al. (2021) · Current Biology · doi:10.1016/j.cub.2021.01.066 · Cited by 55
Nigrostriatal dopamine pathway regulates auditory discrimination behavior
Chen, A. P. F., Malgady, J. M., Chen, L., Shi, K. W., Cheng, E., Plotkin, J. L., Ge, S., & Xiong, Q. (2022) · Nature Communications · doi:10.1038/s41467-022-33747-2 · Cited by 46
Optical control of neuronal excitation and inhibition using a single opsin protein, ChR2
Liske, H., Qian, X., Anikeeva, P., Deisseroth, K., & Delp, S. (2013) · Scientific Reports · doi:10.1038/srep03110 · Cited by 42
Self-citationXie, Y., Chen, S., Wu, Y., & Murphy, T. H. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1775-14.2014 · Cited by 35
Noninvasive optical inhibition with a red-shifted microbial rhodopsin
Chuong, A. S., Miri, M. L., Busskamp, V., Matthews, G. A. C., Acker, L. C., Sørensen, A. T., Young, A., Klapoetke, N. C., Henninger, M. A., Kodandaramaiah, S. B., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3752 · Cited by 33
Radulovic, J., Lee, R., & Ortony, A. (2018) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2018.00259 · Cited by 26
Infraslow histaminergic dynamics govern priming states to gate moment-to-moment memory accessibility
Morishita, Y., Takamura, Y., Nishimura, K., Yokoi, Y., Ishihama, Y., Idutsu, R., Ono, M., Matsumoto, R., Hitora-Imamura, N., Minami, M., et al. (2026) · Neuron · doi:10.1016/j.neuron.2026.05.019
Metadata
- Authors
- Gradinaru, V., Zhang, F., Ramakrishnan, C., Mattis, J., Prakash, R., Diester, I., Goshen, I., Thompson, K. R., & Deisseroth, K.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2010-04
- Volume
- 141
- Issue
- 1
- Pages
- 154-165
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2108846059
- Cited by
- 1,018
- References
- 8
- FWCI
- 28.33
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 1203 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.