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  1. A capacity theory of comprehension: Individual differences in working memory.Marcel A. Just & Patricia A. Carpenter - 1992 - Psychological Review 99 (1):122-149.
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  • An Integrative Theory of Prefrontal Cortex Function.Earl K. Miller & Jonathan D. Cohen - 2001 - Annual Review of Neuroscience 24 (1):167-202.
    The prefrontal cortex has long been suspected to play an important role in cognitive control, in the ability to orchestrate thought and action in accordance with internal goals. Its neural basis, however, has remained a mystery. Here, we propose that cognitive control stems from the active maintenance of patterns of activity in the prefrontal cortex that represent goals and the means to achieve them. They provide bias signals to other brain structures whose net effect is to guide the flow of (...)
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  • (1 other version)Can cognitive processes be inferred from neuroimaging data?Russell A. Poldrack - 2006 - Trends in Cognitive Sciences 10 (2):59-63.
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  • (1 other version)Attention and cognitive control.Michael I. Posner & C. R. R. Snyder - 1975 - In Robert L. Solso (ed.), Information Processing and Cognition: The Loyola Symposium. Lawrence Erlbaum.
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  • A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge.Thomas K. Landauer & Susan T. Dumais - 1997 - Psychological Review 104 (2):211-240.
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  • Gene Ontology: Tool for the unification of biology.M. Ashburner - 2000 - Nature Genetics 25:25-29.
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  • Extracting core components of cognitive control.Todd S. Braver & Deanna M. Barch - 2006 - Trends in Cognitive Sciences 10 (12):529-532.
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  • Ontologies: Formalising biological knowledge for bioinformatics.Jonathan Bard - 2003 - Bioessays 25 (5):501-506.
    An ontology is a domain of knowledge structured through formal rules so that it can be interpreted and used by computers. Ontologies are becoming increasingly important in bioinformatics because they can be linked to the information in databases and their knowledge then used to query the databases. Typical examples in current use are the Gene Ontology, which incorporates much of our knowledge about gene products, and ontologies of developmental anatomy, which, for example, facilitate tissue‐based queries to gene expression databases both (...)
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