The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Why Does the Brain Have So Many Visual Areas?
Abstract
Mammals vary in number of visual areas from a few to 20 or more as a result of new visual areas being added to the middle levels of processing hierarchies. Having more visual areas probably increases visual abilities, perhaps in part by allowing more stimulus parameters to be considered. Proposals that each visual area computes and thereby “detects” a specific stimulus attribute have so far dealt with attributes that most mammals can detect and thus do not relate to the issue of species differences in numbers of areas. The problem of forming and maintaining complex patterns of interconnections between many different sets of distinct processing models within an area may limit multiplying functions within a field. In addition, the adding of new visual areas is a way of avoiding constraints on modifying existing visual areas that are imposed by the ongoing functional requirements. Thus, increasing the number of visual or other cortical areas is an effective and apparently common mechanism for evolving new capacities.
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Cites
A cortical network for directed attention and unilateral neglect
Mesulam, M. ‐. (1981) · Annals of Neurology · doi:10.1002/ana.410100402 · Cited by 2,498
Maunsell, J., & van Essen, D. (1983) · The Journal of Neuroscience · doi:10.1523/jneurosci.03-12-02563.1983 · Cited by 1,602
The Neurobiology of Perception
Ramachandran, V. S. (1985) · Perception · doi:10.1068/p140097 · Cited by 121
Cited by
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
Memory and the hippocampus: A synthesis from findings with rats, monkeys, and humans.
Squire, L. R. (1992) · Psychological Review · doi:10.1037/0033-295x.99.2.195 · Cited by 5,376
Chittka, L., & Niven, J. (2009) · Current Biology · doi:10.1016/j.cub.2009.08.023 · Cited by 598
Topographic Maps are Fundamental to Sensory Processing
Kaas, J. H. (1997) · Brain Research Bulletin · doi:10.1016/s0361-9230(97)00094-4 · Cited by 478
Self-citationThe emergence and evolution of mammalian neocortex
Glenn Northcutt, R., & Kaas, J. H. (1995) · Trends in Neurosciences · doi:10.1016/0166-2236(95)93932-n · Cited by 378
Self-citationWhy is Brain Size so Important:Design Problems and Solutions as Neocortex Gets Biggeror Smaller
Kaas, J. H. (2000) · Brain and Mind · doi:10.1023/a:1010028405318 · Cited by 225
Self-citationKrienen, F. M., Yeo, B. T. T., Ge, T., Buckner, R. L., & Sherwood, C. C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1510903113 · Cited by 190
Metadata
- Authors
- Kaas, J. H.
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press - Journals
- Published
- 1989
- Volume
- 1
- Issue
- 2
- Pages
- 121-135
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- OpenAlex
- W2021473177
- Cited by
- 261
- References
- 3
- FWCI
- 9.11
- Type
- journal article
- Language
- en
- Open access
- closed
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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.