The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
The representation of egocentric space in the posterior parietal cortex
Abstract
The posterior parietal cortex (PPC) is the most likely site where egocentric spatial relationships are represented in the brain. PPC cells receive visual, auditory, somaesthetic, and vestibular sensory inputs; oculomotor, head, limb, and body motor signals; and strong motivational projections from the limbic system. Their discharge increases not only when an animal moves towards a sensory target, but also when it directs its attention to it. PPC lesions have the opposite effect: sensory inattention and neglect. The PPC does not seem to contain a “map” of the location of objects in space but a distributed neural network for transforming one set of sensory vectors into other sensory reference frames or into various motor coordinate systems. Which set of transformation rules is used probably depends on attention, which selectively enhances the synapses needed for making a particular sensory comparison or aiming a particular movement.
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Cites
Learning representations by back-propagating errors
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986) · Nature · doi:10.1038/323533a0 · Cited by 31,892
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
Self-organized formation of topologically correct feature maps
Kohonen, T. (1982) · Biological Cybernetics · doi:10.1007/bf00337288 · Cited by 9,529
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
Fodor, J. A. (1983) · doi:10.7551/mitpress/4737.001.0001 · Cited by 7,734
Searle, J. R. (1980) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00005756 · Cited by 6,954
Ott, E., Grebogi, C., & Yorke, J. A. (1990) · Physical Review Letters · doi:10.1103/physrevlett.64.1196 · Cited by 5,431
The coordination of arm movements: an experimentally confirmed mathematical model
Flash, T., & Hogan, N. (1985) · The Journal of Neuroscience · doi:10.1523/jneurosci.05-07-01688.1985 · Cited by 4,395
Functional architecture of basal ganglia circuits: neural substrates of parallel processing
Alexander, G. E., & Crutcher, M. D. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90107-l · Cited by 4,131
Impedance Control: An Approach to Manipulation: Part I—Theory
Hogan, N. (1985) · Journal of Dynamic Systems, Measurement, and Control · doi:10.1115/1.3140702 · Cited by 3,673
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SPACE AND ATTENTION IN PARIETAL CORTEX
Colby, C. L., & Goldberg, M. E. (1999) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.22.1.319 · Cited by 1,710
Neural Mechanisms for Interacting with a World Full of Action Choices
Cisek, P., & Kalaska, J. F. (2010) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135409 · Cited by 1,543
Action-Oriented Spatial Reference Frames in Cortex
Colby, C. L. (1998) · Neuron · doi:10.1016/s0896-6273(00)80429-8 · Cited by 387
The Neuropsychology of autobiographical memory
GREENBERG, D., & RUBIN, D. (2003) · Cortex · doi:10.1016/s0010-9452(08)70860-8 · Cited by 318
Recent advances in the neuropsychopharmacology of serotonergic hallucinogens
Halberstadt, A. L. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.07.016 · Cited by 312
“A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript is part of the dorsal visual stream and generates multiple egocentric representations of space (Stein, 1992; Vallar et al., 1999; Schindler and Bartels, 2013).”
Background
Metadata
- Authors
- Stein, J. F.
- Venue
- Behavioral and Brain Sciences
- Publisher
- Cambridge University Press (CUP)
- Published
- 1992-12
- Volume
- 15
- Issue
- 4
- Pages
- 691-700
- ISSN
- 0140-525X (ISSN-L)
- 1469-1825
- OpenAlex
- W2320865216
- Cited by
- 339
- References
- 45
- FWCI
- 18.38
- Type
- journal article
- Language
- en
- Open access
- closed
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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.