The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Channelrhodopsin-2 and optical control of excitable cells
Overview
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
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
Cited by
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-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-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
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-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
Self-citationCell type–specific genetic and optogenetic tools reveal hippocampal CA2 circuits
Kohara, K., Pignatelli, M., Rivest, A. J., Jung, H.-Y., Kitamura, T., Suh, J., Frank, D., Kajikawa, K., Mise, N., Obata, Y., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3614 · Cited by 528
Rescuing cocaine-induced prefrontal cortex hypoactivity prevents compulsive cocaine seeking
Chen, B. T., Yau, H.-J., Hatch, C., Kusumoto-Yoshida, I., Cho, S. L., Hopf, F. W., & Bonci, A. (2013) · Nature · doi:10.1038/nature12024 · Cited by 498
Experience-dependent modification of a central amygdala fear circuit
Li, H., Penzo, M. A., Taniguchi, H., Kopec, C. D., Huang, Z. J., & Li, B. (2013) · Nature Neuroscience · doi:10.1038/nn.3322 · Cited by 497
Implanted Neural Interfaces: Biochallenges and Engineered Solutions
Grill, W. M., Norman, S. E., & Bellamkonda, R. V. (2009) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-061008-124927 · Cited by 488
Optogenetic stimulation of lateral orbitofronto-striatal pathway suppresses compulsive behaviors
Burguière, E., Monteiro, P., Feng, G., & Graybiel, A. M. (2013) · Science · doi:10.1126/science.1232380 · Cited by 457
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-citationFunctional maps of neocortical local circuitry.
Thomson, A. M. (2007) · Frontiers in Neuroscience · doi:10.3389/neuro.01.1.1.002.2007 · Cited by 434
Inagaki, H. K., Ben-Tabou de-Leon, S., Wong, A. M., Jagadish, S., Ishimoto, H., Barnea, G., Kitamoto, T., Axel, R., & Anderson, D. J. (2012) · Cell · doi:10.1016/j.cell.2011.12.022 · Cited by 325
Hypothalamic CRH neurons orchestrate complex behaviours after stress
Füzesi, T., Daviu, N., Wamsteeker Cusulin, J. I., Bonin, R. P., & Bains, J. S. (2016) · Nature Communications · doi:10.1038/ncomms11937 · Cited by 316
Compartmentalization of GABAergic inhibition by dendritic spines
Chiu, C. Q., Lur, G., Morse, T. M., Carnevale, N. T., Ellis-Davies, G. C. R., & Higley, M. J. (2013) · Science · doi:10.1126/science.1234274 · Cited by 307
Reversing behavioural abnormalities in mice exposed to maternal inflammation
Shin Yim, Y., Park, A., Berrios, J., Lafourcade, M., Pascual, L. M., Soares, N., Yeon Kim, J., Kim, S., Kim, H., Waisman, A., et al. (2017) · Nature · doi:10.1038/nature23909 · Cited by 303
Dopamine enhances signal-to-noise ratio in cortical-brainstem encoding of aversive stimuli
Vander Weele, C. M., Siciliano, C. A., Matthews, G. A., Namburi, P., Izadmehr, E. M., Espinel, I. C., Nieh, E. H., Schut, E. H. S., Padilla-Coreano, N., Burgos-Robles, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0682-1 · Cited by 298
Sensory-evoked LTP driven by dendritic plateau potentials in vivo
Gambino, F., Pagès, S., Kehayas, V., Baptista, D., Tatti, R., Carleton, A., & Holtmaat, A. (2014) · Nature · doi:10.1038/nature13664 · Cited by 253
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
Presynaptic inhibition of spinal sensory feedback ensures smooth movement
Fink, A. J. P., Croce, K. R., Huang, Z. J., Abbott, L. F., Jessell, T. M., & Azim, E. (2014) · Nature · doi:10.1038/nature13276 · Cited by 260
Delevich, K., Tucciarone, J., Huang, Z. J., & Li, B. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4565-14.2015 · Cited by 226
“…inhibition in the dACC To delineate the functional connectivity between the MD and the dACC, we injected the MD with the AAV-CAG-ChR2(H134R)YFP, which expresses the light-sensitive cation channel channelrhodopsin-2 (ChR2) (Zhang et al., 2006) tagged with the yellow fluorescent protein (YFP) (Fig.”
MethodPenzo, M. A., Robert, V., & Li, B. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.4166-13.2014 · Cited by 187
Light-Induced Rescue of Breathing after Spinal Cord Injury
Alilain, W. J., Li, X., Horn, K. P., Dhingra, R., Dick, T. E., Herlitze, S., & Silver, J. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.3378-08.2008 · Cited by 185
Lee, H.-M., Kwon, K. Y., Li, W., & Ghovanloo, M. (2015) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2014.2355814 · Cited by 161
Stokes, C. C. A., & Isaacson, J. S. (2010) · Neuron · doi:10.1016/j.neuron.2010.06.029 · Cited by 144
The Future of Neuroimplantable Devices: A Materials Science and Regulatory Perspective
Obidin, N., Tasnim, F., & Dagdeviren, C. (2020) · Advanced Materials · doi:10.1002/adma.201901482 · Cited by 126
The hypocretins as sensors for metabolism and arousal
Adamantidis, A., & De Lecea, L. (2009) · The Journal of Physiology · doi:10.1113/jphysiol.2008.164400 · Cited by 112
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
An Insula–Central Amygdala Circuit for Guiding Tastant-Reinforced Choice Behavior
Schiff, H. C., Bouhuis, A. L., Yu, K., Penzo, M. A., Li, H., He, M., & Li, B. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.1773-17.2017 · Cited by 100
Target-Specific Properties of Thalamocortical Synapses onto Layer 4 of Mouse Primary Visual Cortex
Kloc, M., & Maffei, A. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.2595-14.2014 · Cited by 99
Optogenetic and electrical microstimulation systematically bias visuospatial choice in primates
Dai, J., Brooks, D. I., & Sheinberg, D. L. (2014) · Current Biology · doi:10.1016/j.cub.2013.11.011 · Cited by 97
Nelson, A. R., Sagare, M. A., Wang, Y., Kisler, K., Zhao, Z., & Zlokovic, B. V. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00108 · Cited by 73
Compliant peripheral nerve interfaces.
Paggi, V., Akouissi, O., Micera, S., & Lacour, S. P. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abcdbe · Cited by 60
“Specifically, when designing optical interfaces for optogenetics, it is necessary to ensure a minimum irradiance in the range of 1–5 mW mm−2 to target fibers [183, 184].”
BackgroundHCN Channel Targets for Novel Antidepressant Treatment
Ku, S. M., & Han, M.-H. (2017) · Neurotherapeutics · doi:10.1007/s13311-017-0538-7 · Cited by 54
Optogenetic stimulation of prefrontal glutamatergic neurons enhances recognition memory
Benn, A., Barker, G. R. I., Stuart, S. A., Roloff, E. V. L., Teschemacher, A. G., Warburton, E. C., & Robinson, E. S. J. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.2933-15.2016 · Cited by 42
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
Dias, G. R. M., Giusti, F. C. V., de Novais, C. O., de Oliveira, M. A. L., Paiva, A. G., Kalil-Cutti, B., Mahoney, M. M., & Graceli, J. B. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1571689 · Cited by 14
Metadata
- Authors
- Zhang, F., Wang, L.-P., Boyden, E. S., & Deisseroth, K.
- Venue
- Nature Methods
- Published
- 2006-09-21
- Volume
- 3
- Issue
- 10
- Pages
- 785-792
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2158550713
- Cited by
- 689
- References
- 1
- FWCI
- 8.56
- Type
- journal article
- Language
- en
- Open access
- closed
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.
