The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Perceptual learning rules based on reinforcers and attention
Open accessAbstract
How does the brain learn those visual features that are relevant for behavior? In this article, we focus on two factors that guide plasticity of visual representations. First, reinforcers cause the global release of diffusive neuromodulatory signals that gate plasticity. Second, attentional feedback signals highlight the chain of neurons between sensory and motor cortex responsible for the selected action. We here propose that the attentional feedback signals guide learning by suppressing plasticity of irrelevant features while permitting the learning of relevant ones. By hypothesizing that sensory signals that are too weak to be perceived can escape from this inhibitory feedback, we bring attentional learning theories and theories that emphasized the importance of neuromodulatory signals into a single, unified framework.
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Cites
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“These results support the idea that the appearance of a visual stimulus, be it a target or distractor, initially triggers the rapid propagation of activity from lower to higher areas of the visual cortex through feedforward connections (Figure 1a) [72,73].”
ResultSelf-citationExpertise for cars and birds recruits brain areas involved in face recognition
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Cited by
Brain plasticity through the life span: Learning to learn and action video games
Bavelier, D., Green, C. S., Pouget, A., & Schrater, P. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-060909-152832 · Cited by 541
A Causal Link between Visual Spatial Attention and Reading Acquisition
Franceschini, S., Gori, S., Ruffino, M., Pedrolli, K., & Facoetti, A. (2012) · Current Biology · doi:10.1016/j.cub.2012.03.013 · Cited by 532
Selection history: How reward modulates selectivity of visual attention.
Failing, M., & Theeuwes, J. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1380-y · Cited by 345
Cognitive Training for Impaired Neural Systems in Neuropsychiatric Illness
Vinogradov, S., Fisher, M., & de Villers-Sidani, E. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2011.251 · Cited by 324
Mental Training as a Tool in the Neuroscientific Study of Brain and Cognitive Plasticity
Slagter, H. A., Davidson, R. J., & Lutz, A. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00017 · Cited by 288
Metadata
- Authors
- Roelfsema, P. R., van Ooyen, A., & Watanabe, T.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2010-02
- Volume
- 14
- Issue
- 2
- Pages
- 64-71
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2119957476
- Cited by
- 281
- References
- 18
- FWCI
- 1.22
- Type
- journal article
- Language
- en
- Open access
- green
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- Roelfsema, P. R., van Ooyen, A., & Watanabe, T. (2010). Perceptual learning rules based on reinforcers and attention. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2009.11.005
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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.
