The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
The Neural Basis of Perceptual Learning
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Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Olshausen, B. A., & Field, D. J. (1996) · Nature · doi:10.1038/381607a0 · Cited by 5,694
Ferrier lecture. Functional architecture of macaque monkey visual cortex
Hubel, D. H., & Wiesel, T. N. (1977) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1977.0085 · Cited by 2,608
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Tallal, P., Miller, S. L., Bedi, G., Byma, G., Wang, X., Nagarajan, S. S., Schreiner, C., Jenkins, W. M., & Merzenich, M. M. (1996) · Science · doi:10.1126/science.271.5245.81 · Cited by 1,197
Animal intelligence; experimental studies
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Temporal Processing Deficits of Language-Learning Impaired Children Ameliorated by Training
Merzenich, M. M., Jenkins, W. M., Johnston, P., Schreiner, C., Miller, S. L., & Tallal, P. (1996) · Science · doi:10.1126/science.271.5245.77 · Cited by 1,000
Shape representation in the inferior temporal cortex of monkeys
Logothetis, N. K., Pauls, J., & Poggio, T. (1995) · Current Biology · doi:10.1016/s0960-9822(95)00108-4 · Cited by 963
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Cited by
Image reconstruction by domain-transform manifold learning
Zhu, B., Liu, J. Z., Cauley, S. F., Rosen, B. R., & Rosen, M. S. (2018) · Nature · doi:10.1038/nature25988 · Cited by 1,694
Benefits of multisensory learning
Shams, L., & Seitz, A. R. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.07.006 · Cited by 1,178
A cortical mechanism for triggering top-down facilitation in visual object recognition
Bar, M. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903321662976 · Cited by 900
Smith, G. E., Housen, P., Yaffe, K., Ruff, R., Kennison, R. F., Mahncke, H. W., & Zelinski, E. M. (2009) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2008.02167.x · Cited by 785
Neural mechanisms for detecting and remembering novel events
Ranganath, C., & Rainer, G. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1052 · Cited by 779
Metadata
- Authors
- Gilbert, C. D., Sigman, M., & Crist, R. E.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2001-09
- Volume
- 31
- Issue
- 5
- Pages
- 681-697
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W1969166506
- Cited by
- 691
- References
- 14
- FWCI
- 11.69
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
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- Gilbert, C. D., Sigman, M., & Crist, R. E. (2001). The Neural Basis of Perceptual Learning. Neuron. https://doi.org/10.1016/s0896-6273(01)00424-x
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.
