The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Complete Transfer of Perceptual Learning across Retinal Locations Enabled by Double Training
Open accessAbstract
Summary Practice improves discrimination of many basic visual features, such as contrast, orientation, positional offset, etc. [1–7]. Perceptual learning of many of these tasks is found to be retinal location specific, in that learning transfers little to an untrained retinal location [1, 6–8]. In most perceptual learning models, this location specificity is interpreted as a pointer to a retinotopic early visual cortical locus of learning [1, 6–11]. Alternatively, an untested hypothesis is that learning could occur in a central site, but it consists of two separate aspects: learning to discriminate a specific stimulus feature (“feature learning”), and learning to deal with stimulus non-specific factors like local noise at the stimulus location (“location learning”) [12]. Therefore, learning is not transferable to a new location that has never been location-trained. To test this hypothesis we developed a novel double-training paradigm that employed conventional feature training (e.g., contrast) at one location, and additional training with an irrelevant feature/task (e.g. orientation) at a second location, either simultaneously or at a different time. Our results showed that this additional location training enabled a complete transfer of feature learning (e.g., contrast) to the second location. This finding challenges location specificity and its inferred cortical retinotopy as central concepts to many perceptual learning models, and suggests perceptual learning involves higher non-retinotopic brain areas that enable location transfer.
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Cites
The Neural Basis of Decision Making
Gold, J. I., & Shadlen, M. N. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113038 · Cited by 3,764
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
Mechanisms of perceptual learning
Dosher, B. A., & Lu, Z.-L. (1999) · Vision Research · doi:10.1016/s0042-6989(99)00059-0 · Cited by 394
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
Physiological 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
Three remarks on perceptual learning
Mollon, J. D., & Danilova, M. V. (1996) · Spatial Vision · doi:10.1163/156856896x00051 · Cited by 175 · cited 2×
“Apparently our results are more consistent with Mollon and Danilova’s hypothesis [12] that feature learning could take place in a more central site, but is not transferable to a new location because of the local noise at the new location.”
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Cited by
Perceptual Learning: Toward a Comprehensive Theory
Watanabe, T., & Sasaki, Y. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015214 · Cited by 347
Circuit Mechanisms of Sensorimotor Learning
Makino, H., Hwang, E. J., Hedrick, N. G., & Komiyama, T. (2016) · Neuron · doi:10.1016/j.neuron.2016.10.029 · Cited by 228
“…developed double-training paradigm challenged this notion by demonstrating that the feature discrimination (e.g., contrast) ability can be transferred to a new retinal location if subjects were primed at the second location with a task-irrelevant feature (e.g., orientation) (Xiao et al., 2008).”
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
Multisensory perceptual learning and sensory substitution
Proulx, M. J., Brown, D. J., Pasqualotto, A., & Meijer, P. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.11.017 · Cited by 148
Beyeler, M., Rokem, A., Boynton, G. M., & Fine, I. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa795e · Cited by 102
Metadata
- Authors
- Xiao, L.-Q., Zhang, J.-Y., Wang, R., Klein, S. A., Levi, D. M., & Yu, C.
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2008-12
- Volume
- 18
- Issue
- 24
- Pages
- 1922-1926
- ISSN
- 0960-9822 (ISSN-L)
- OpenAlex
- W2131338584
- Cited by
- 418
- References
- 6
- FWCI
- 10.23
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Xiao, L.-Q., Zhang, J.-Y., Wang, R., Klein, S. A., Levi, D. M., & Yu, C. (2008). Complete Transfer of Perceptual Learning across Retinal Locations Enabled by Double Training. Current Biology. https://doi.org/10.1016/j.cub.2008.10.030
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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.