The DOI matches its Crossref record; 203 of the 203 references it cites were found in a registry or an index.
Cortical connections and parallel processing: Structure and function
Abstract
The cerebral cortex is a rich and diverse structure that is the basis of intelligent behavior. One of the deepest mysteries of the function of cortex is that neural processing times are only about one hundred times as fast as the fastest response times for complex behavior. At the very least, this would seem to indicate that the cortex does massive amounts of parallel computation. This paper explores the hypothesis that an important part of the cortex can be modeled as a connectionist computer that is especially suited for parallel problem solving. The connectionist computer uses a special representation, termed value unit encoding, that represents small subsets of parameters in a way that allows parallel access to many different parameter values. This computer can be thought of as computing hierarchies of sensorimotor invariants. The neural substrate can be interpreted as a commitment to data structures and algorithms that compute invariants fast enough to explain the behavioral response times. A detailed consideration of this model has several implications for the underlying anatomy and physiology.
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Cites
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Cited by
Connectionism and cognitive architecture: A critical analysis
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On the proper treatment of connectionism
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Features and Objects: The Fourteenth Bartlett Memorial Lecture
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Deictic codes for the embodiment of cognition
Ballard, D. H., Hayhoe, M. M., Pook, P. K., & Rao, R. P. N. (1997) · Behavioral and Brain Sciences · doi:10.1017/s0140525x97001611 · Cited by 1,082
Self-citation
Metadata
- Authors
- Ballard, D. H.
- Venue
- Behavioral and Brain Sciences
- Publisher
- Cambridge University Press (CUP)
- Published
- 1986-03
- Volume
- 9
- Issue
- 1
- Pages
- 67-90
- ISSN
- 0140-525X (ISSN-L)
- 1469-1825
- OpenAlex
- W2180304924
- Cited by
- 299
- References
- 203
- FWCI
- 41.54
- 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.
