The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.
Neural Activity in Barrel Cortex Underlying Vibrissa-Based Object Localization in Mice
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Citations
Cites
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
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Signal detection theory and psychophysics
Ingleby, J. D. (1967) · Journal of Sound and Vibration · doi:10.1016/0022-460x(67)90197-6 · Cited by 8,509
Deep tissue two-photon microscopy
Helmchen, F., & Denk, W. (2005) · Nature Methods · doi:10.1038/nmeth818 · Cited by 4,153
Selective Attention Gates Visual Processing in the Extrastriate Cortex
Moran, J., & Desimone, R. (1985) · Science · doi:10.1126/science.4023713 · Cited by 2,433
The structural organization of layer IV in the somatosensory region (S I) of mouse cerebral cortex
Woolsey, T. A., & Van der Loos, H. (1970) · Brain Research · doi:10.1016/0006-8993(70)90079-x · Cited by 2,254
Shadlen, M. N., & Newsome, W. T. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-10-03870.1998 · Cited by 2,178
Selective Attention Gates Visual Processing in the Extrastriate Cortex
Moran, J., & Desimone, R. (2003) · Essential Sources in the Scientific Study of Consciousness · doi:10.7551/mitpress/2834.003.0024 · Cited by 2,144
Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators
Tian, L., Hires, S. A., Mao, T., Huber, D., Chiappe, M. E., Chalasani, S. H., Petreanu, L., Akerboom, J., McKinney, S. A., Schreiter, E. R., et al. (2009) · Nature Methods · doi:10.1038/nmeth.1398 · Cited by 1,967
Self-citationThe analysis of visual motion: a comparison of neuronal and psychophysical performance
Britten, K., Shadlen, M., Newsome, W., & Movshon, J. (1992) · The Journal of Neuroscience · doi:10.1523/jneurosci.12-12-04745.1992 · Cited by 1,958
Cited by
The neocortical circuit: themes and variations
Harris, K. D., & Shepherd, G. M. G. (2015) · Nature Neuroscience · doi:10.1038/nn.3917 · Cited by 1,215
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-citationMultiple dynamic representations in the motor cortex during sensorimotor learning
Huber, D., Gutnisky, D. A., Peron, S., O’Connor, D. H., Wiegert, J. S., Tian, L., Oertner, T. G., Looger, L. L., & Svoboda, K. (2012) · Nature · doi:10.1038/nature11039 · Cited by 540
Self-citationNonlinear dendritic integration of sensory and motor input during an active sensing task
Xu, N.-L., Harnett, M. T., Williams, S. R., Huber, D., O’Connor, D. H., Svoboda, K., & Magee, J. C. (2012) · Nature · doi:10.1038/nature11601 · Cited by 537
Self-citationUnique 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
Metadata
- Authors
- O'Connor, D. H., Peron, S. P., Huber, D., & Svoboda, K.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2010-09
- Volume
- 67
- Issue
- 6
- Pages
- 1048-1061
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2109062476
- Cited by
- 469
- References
- 83
- FWCI
- 15.39
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Neural Activity in Barrel Cortex Underlying Vibrissa-Based Object Localization in Mice. https://app.cochat.ai/papers/10.1016/j.neuron.2010.08.026
- The paper
- O'Connor, D. H., Peron, S. P., Huber, D., & Svoboda, K. (2010). Neural Activity in Barrel Cortex Underlying Vibrissa-Based Object Localization in Mice. Neuron. https://doi.org/10.1016/j.neuron.2010.08.026
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.