The DOI matches its Crossref record; 162 of the 162 references it cites were found in a registry or an index.
The spatial coding model of visual word identification.
Open accessAbstract
Visual word identification requires readers to code the identity and order of the letters in a word and match this code against previously learned codes. Current models of this lexical matching process posit context-specific letter codes in which letter representations are tied to either specific serial positions or specific local contexts (e.g., letter clusters). The spatial coding model described here adopts a different approach to letter position coding and lexical matching based on context-independent letter representations. In this model, letter position is coded dynamically, with a scheme called spatial coding. Lexical matching is achieved via a method called superposition matching, in which input codes and learned codes are matched on the basis of the relative positions of their common letters. Simulations of the model illustrate its ability to explain a broad range of results from the masked form priming literature, as well as to capture benchmark findings from the unprimed lexical decision task.
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Cites
Eye movements in reading and information processing: 20 years of research
Rayner, K. (1998) · Psychological Bulletin · doi:10.1037/0033-2909.124.3.372 · Cited by 7,979
McClelland, J. L., & Rumelhart, D. E. (1981) · Psychological Review · doi:10.1037/0033-295x.88.5.375 · Cited by 4,889
Fodor, J. A. (1975) · Medical Entomology and Zoology · Cited by 4,588
DRC: A dual route cascaded model of visual word recognition and reading aloud.
Coltheart, M., Rastle, K., Perry, C., Langdon, R., & Ziegler, J. (2001) · Psychological Review · doi:10.1037/0033-295x.108.1.204 · Cited by 4,500
(1997) · Obesity Surgery · doi:10.1381/096089297765555359 · Cited by 3,916
A distributed, developmental model of word recognition and naming.
Seidenberg, M. S., & McClelland, J. L. (1989) · Psychological Review · doi:10.1037/0033-295x.96.4.523 · Cited by 3,909
Excitatory and Inhibitory Interactions in Localized Populations of Model Neurons
Wilson, H. R., & Cowan, J. D. (1972) · Biophysical Journal · doi:10.1016/s0006-3495(72)86068-5 · Cited by 3,623
Understanding normal and impaired word reading: Computational principles in quasi-regular domains.
Plaut, D. C., McClelland, J. L., Seidenberg, M. S., & Patterson, K. (1996) · Psychological Review · doi:10.1037/0033-295x.103.1.56 · Cited by 2,698
A massively parallel architecture for a self-organizing neural pattern recognition machine
Carpenter, G. A., & Grossberg, S. (1987) · Computer Vision, Graphics, and Image Processing · doi:10.1016/s0734-189x(87)80014-2 · Cited by 2,525
Models of reading aloud: Dual-route and parallel-distributed-processing approaches.
Coltheart, M., Curtis, B., Atkins, P., & Haller, M. (1993) · Psychological Review · doi:10.1037//0033-295x.100.4.589 · Cited by 1,798
Cited by
A Dual-Route Approach to Orthographic Processing
Grainger, J., & Ziegler, J. C. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00054 · Cited by 459
Bayesian just-so stories in psychology and neuroscience.
Bowers, J. S., & Davis, C. J. (2012) · Psychological Bulletin · doi:10.1037/a0026450 · Cited by 436
Self-citationGriffiths, T. L., Chater, N., Norris, D., & Pouget, A. (2012) · Psychological Bulletin · doi:10.1037/a0026884 · Cited by 192
Kleyko, D., Rachkovskij, D., Osipov, E., & Rahimi, A. (2023) · ACM Computing Surveys · doi:10.1145/3558000 · Cited by 141
Metadata
- Authors
- Davis, C. J.
- Venue
- Psychological Review
- Published
- 2010
- Volume
- 117
- Issue
- 3
- Pages
- 713-758
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2045872545
- Cited by
- 490
- References
- 162
- FWCI
- 76.89
- Type
- journal article
- Language
- en
- Open access
- green
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