The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Perceptual learning and top-down influences in primary visual cortex
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
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
Mechanisms of visual attention in the human cortex
Ungerleider, S. K. A. L. G. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.315 · Cited by 2,159
Recanzone, G., Schreiner, C., & Merzenich, M. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-01-00087.1993 · Cited by 1,266
The neurophysiology of figure-ground segregation in primary visual cortex
Lamme, V. (1995) · The Journal of Neuroscience · doi:10.1523/jneurosci.15-02-01605.1995 · Cited by 946
A Specific and Enduring Improvement in Visual Motion Discrimination
Ball, K., & Sekuler, R. (1982) · Science · doi:10.1126/science.7134968 · Cited by 383
Learning to see: experience and attention in primary visual cortex
Crist, R. E., Li, W., & Gilbert, C. D. (2001) · Nature Neuroscience · doi:10.1038/87470 · Cited by 364
Self-citationPhysiological Correlates of Perceptual Learning in Monkey V1 and V2
Ghose, G. M., Yang, T., & Maunsell, J. H. R. (2002) · Journal of Neurophysiology · doi:10.1152/jn.00690.2001 · Cited by 310
Cited by
Top-down influences on visual processing
Gilbert, C. D., & Li, W. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3476 · Cited by 1,224
Self-citationMusical experience shapes human brainstem encoding of linguistic pitch patterns
Wong, P. C. M., Skoe, E., Russo, N. M., Dees, T., & Kraus, N. (2007) · Nature Neuroscience · doi:10.1038/nn1872 · Cited by 954
Illiterate to literate: behavioural and cerebral changes induced by reading acquisition
Dehaene, S., Cohen, L., Morais, J., & Kolinsky, R. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3924 · Cited by 716
Current principles of motor control, with special reference to vertebrate locomotion
Grillner, S., & El Manira, A. (2020) · Physiological Reviews · doi:10.1152/physrev.00015.2019 · Cited by 560
Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area
Law, C.-T., & Gold, J. I. (2008) · Nature Neuroscience · doi:10.1038/nn2070 · Cited by 516
Task and context determine where you look
Rothkopf, C. A., Ballard, D. H., & Hayhoe, M. M. (2016) · Journal of Vision · doi:10.1167/7.14.16 · Cited by 366
Rewards evoke learning of unconsciously processed visual stimuli in adult humans
Seitz, A. R., Kim, D., & Watanabe, T. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.016 · Cited by 337
Reber, P. J. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.06.019 · Cited by 296
Individual variability in functional connectivity predicts performance of a perceptual task
Baldassarre, A., Lewis, C. M., Committeri, G., Snyder, A. Z., Romani, G. L., & Corbetta, M. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113148109 · Cited by 281
A common framework for perceptual learning
Seitz, A. R., & Dinse, H. R. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.02.004 · Cited by 276
Axons and synaptic boutons are highly dynamic in adult visual cortex
Stettler, D. D., Yamahachi, H., Li, W., Denk, W., & Gilbert, C. D. (2006) · Neuron · doi:10.1016/j.neuron.2006.02.018 · Cited by 256
Self-citationTop-down effects on early visual processing in humans: A predictive coding framework
Rauss, K., Schwartz, S., & Pourtois, G. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.12.011 · Cited by 219
Visual processing of contour patterns under conditions of inattentional blindness
Pitts, M. A., Martínez, A., & Hillyard, S. A. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00111 · Cited by 204
Learning to See the Difference Specifically Alters the Most Informative V4 Neurons
Raiguel, S., Vogels, R., Mysore, S. G., & Orban, G. A. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.0457-06.2006 · Cited by 200
Rapid axonal sprouting and pruning accompany functional reorganization in primary visual cortex
Yamahachi, H., Marik, S. A., McManus, J. N. J., Denk, W., & Gilbert, C. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.11.026 · Cited by 193
Perceptual learning during action video game playing
Green, C. S., Li, R., & Bavelier, D. (2010) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2009.01054.x · Cited by 182
Perceptual learning and adult cortical plasticity.
Gilbert, C. D., Li, W., & Piech, V. (2009) · The Journal of Physiology · doi:10.1113/jphysiol.2009.171488 · Cited by 151
Self-citationBenefits of Stimulus Congruency for Multisensory Facilitation of Visual Learning
Kim, R. S., Seitz, A. R., & Shams, L. (2008) · PLoS ONE · doi:10.1371/journal.pone.0001532 · Cited by 148
Learning Enhances Sensory Processing in Mouse V1 before Improving Behavior
Jurjut, O., Georgieva, P., Busse, L., & Katzner, S. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3485-16.2017 · Cited by 99
Beyeler, M., Rokem, A., Boynton, G. M., & Fine, I. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa795e · Cited by 102
Tsanov, M., & Manahan-Vaughan, D. (2008) · The Neuroscientist · doi:10.1177/1073858408315655 · Cited by 65
Tasks and their role in visual neuroscience
Kay, K., Bonnen, K., Denison, R. N., Arcaro, M. J., & Barack, D. L. (2023) · Neuron · doi:10.1016/j.neuron.2023.03.022 · Cited by 61
Modulation of neuronal responses by exogenous attention in macaque primary visual cortex
Wang, F., Chen, M., Yan, Y., Zhaoping, L., & Li, W. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.0527-15.2015 · Cited by 39
Self-citationBeer, A. L., & Watanabe, T. (2009) · Experimental Brain Research · doi:10.1007/s00221-009-1769-6 · Cited by 25
The effect of self-efficacy on visual discrimination sensitivity
Zacharopoulos, G., Binetti, N., Walsh, V., & Kanai, R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109392 · Cited by 22
“For example, previous psychophysical studies of vision showed that selective attention [1], [2] and feature-based attention [3], [4] can generate perceptual improvements.”
BackgroundPost-training TMS abolishes performance improvement and releases future learning from interference
Bang, J. W., Milton, D., Sasaki, Y., Watanabe, T., & Rahnev, D. (2019) · Communications Biology · doi:10.1038/s42003-019-0566-4 · Cited by 19
Metadata
- Authors
- Li, W., Piëch, V., & Gilbert, C. D.
- Venue
- Nature Neuroscience
- Published
- 2004-05-23
- Volume
- 7
- Issue
- 6
- Pages
- 651-657
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- OpenAlex
- W2170819135
- Cited by
- 473
- References
- 8
- FWCI
- 10.72
- Type
- journal article
- Language
- en
- Open access
- green
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.
