The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
The Optogenetic Catechism
Abstract
An emerging set of methods enables an experimental dialogue with biological systems composed of many interacting cell types—in particular, with neural circuits in the brain. These methods are sometimes called “optogenetic” because they use light-responsive proteins (“opto-”) encoded in DNA (“-genetic”). Optogenetic devices can be introduced into tissues or whole organisms by genetic manipulation and be expressed in anatomically or functionally defined groups of cells. Two kinds of devices perform complementary functions: Light-driven actuators control electrochemical signals, while light-emitting sensors report them. Actuators pose questions by delivering targeted perturbations; sensors (and other measurements) signal answers. These catechisms are beginning to yield previously unattainable insight into the organization of neural circuits, the regulation of their collective dynamics, and the causal relationships between cellular activity patterns and behavior.
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Citations
Cites
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
Driving 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
Neural 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
The 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
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
Excitatory Local Circuits and Their Implications for Olfactory Processing in the Fly Antennal Lobe
Shang, Y., Claridge-Chang, A., Sjulson, L., Pypaert, M., & Miesenböck, G. (2007) · Cell · doi:10.1016/j.cell.2006.12.034 · Cited by 359
Self-citation
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
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Buzsáki, G. (2010) · Neuron · doi:10.1016/j.neuron.2010.09.023 · Cited by 1,289
Neuroplasticity 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
Regulation of oligodendrocyte differentiation and myelination
Emery, B. (2010) · Science · doi:10.1126/science.1190927 · Cited by 653
Role of Astrocytes in Neurovascular Coupling
Petzold, G. C., & Murthy, V. N. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.009 · Cited by 409
Metadata
- Authors
- Miesenböck, G.
- Venue
- Science
- Published
- 2009-10-16
- Volume
- 326
- Issue
- 5951
- Pages
- 395-399
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2046856562
- Cited by
- 255
- References
- 8
- FWCI
- 9.79
- Type
- journal article
- Language
- en
- Open access
- closed
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