| Literature DB >> 25076977 |
Abstract
The goal of cognitive neuroscience is to identify the mapping between brain function and mental processing. In this article, I examine the strategies that have been used to identify such mappings and argue that they may be fundamentally unable to identify selective structure-function mappings. To understand the functional anatomy of mental processes, it will be necessary for researchers to move from the brain-mapping strategies that the field has employed toward a search for selective associations. This will require a greater focus on the structure of cognitive processes, which can be achieved through the development of formal ontologies that describe the structure of mental processes. In this article, I outline the Cognitive Atlas Project, which is developing such ontologies, and show how this knowledge could be used in conjunction with data-mining approaches to more directly relate mental processes and brain function.Entities:
Keywords: machine learning; neuroimaging; ontology; prediction
Year: 2010 PMID: 25076977 PMCID: PMC4112478 DOI: 10.1177/1745691610388777
Source DB: PubMed Journal: Perspect Psychol Sci ISSN: 1745-6916