The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Biologically Based Computational Models of High-Level Cognition
Abstract
Computer models based on the detailed biology of the brain can help us understand the myriad complexities of human cognition and intelligence. Here, we review models of the higher level aspects of human intelligence, which depend critically on the prefrontal cortex and associated subcortical areas. The picture emerging from a convergence of detailed mechanistic models and more abstract functional models represents a synthesis between analog and digital forms of computation. Specifically, the need for robust active maintenance and rapid updating of information in the prefrontal cortex appears to be satisfied by bistable activation states and dynamic gating mechanisms. These mechanisms are fundamental to digital computers and may be critical for the distinctive aspects of human intelligence.
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Cites
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Cited by
The variable nature of cognitive control: a dual mechanisms framework
Braver, T. S. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.12.010 · Cited by 2,482
How Can the Human Mind Occur in the Physical Universe?
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Neural reuse: A fundamental organizational principle of the brain
Anderson, M. L. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x10000853 · Cited by 1,212
Building better biomarkers: brain models in translational neuroimaging
Woo, C.-W., Chang, L. J., Lindquist, M. A., & Wager, T. D. (2017) · Nature Neuroscience · doi:10.1038/nn.4478 · Cited by 1,056
Transfer of Learning After Updating Training Mediated by the Striatum
Dahlin, E., Neely, A. S., Larsson, A., Bäckman, L., & Nyberg, L. (2008) · Science · doi:10.1126/science.1155466 · Cited by 892
Metadata
- Authors
- O'Reilly, R. C.
- Venue
- Science
- Published
- 2006-10-06
- Volume
- 314
- Issue
- 5796
- Pages
- 91-94
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2127118940
- Cited by
- 448
- References
- 38
- FWCI
- 13.05
- 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.
