Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Distinct Brain Systems for Processing Concrete and Abstract Concepts
Journal of Cognitive Neuroscience
Partially Distributed Representations of Objects and Faces in Ventral Temporal Cortex
Journal of Cognitive Neuroscience
Domain-Specific Knowledge Systems in the Brain: The Animate-Inanimate Distinction
Journal of Cognitive Neuroscience
Revising the wordnet domains hierarchy: semantics, coverage and balancing
MLR '04 Proceedings of the Workshop on Multilingual Linguistic Ressources
Neural correlates of abstract verb processing
Journal of Cognitive Neuroscience
Differential activity for animals and manipulable objects in the anterior temporal lobes
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
Deconstructing events: The neural bases for space, time, and causality
Journal of Cognitive Neuroscience
Motor simulation during action word processing in neurosurgical patients
Journal of Cognitive Neuroscience
Testing Multiclass Pattern Discrimination
PRNI '12 Proceedings of the 2012 Second International Workshop on Pattern Recognition in NeuroImaging
Independent representations of verbs and actions in left lateral temporal cortex
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
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Most studies of conceptual knowledge in the brain focus on a narrow range of concrete conceptual categories, rely on the researchers' intuitions about which object belongs to these categories, and assume a broadly taxonomic organization of knowledge. In this fMRI study, we focus on concepts with a variety of concreteness levels; we use a state of the art lexical resource WordNet 3.1 as the source for a relatively large number of category distinctions and compare a taxonomic style of organization with a domain-based model an example domain is Law. Participants mentally simulated situations associated with concepts when cued by text stimuli. Using multivariate pattern analysis, we find evidence that all Taxonomic categories and Domains can be distinguished from fMRI data and also observe a clear concreteness effect: Tools and Locations can be reliably predicted for unseen participants, but less concrete categories e.g., Attributes, Communications, Events, Social Roles can only be reliably discriminated within participants. A second concreteness effect relates to the interaction of Domain and Taxonomic category membership: Domain e.g., relation to Law vs. Music can be better predicted for less concrete categories. We repeated the analysis within anatomical regions, observing discrimination between all/most categories in the left mid occipital and left mid temporal gyri, and more specialized discrimination for concrete categories Tool and Location in the left precentral and fusiform gyri, respectively. Highly concrete/abstract Taxonomic categories and Domain were segregated in frontal regions. We conclude that both Taxonomic and Domain class distinctions are relevant for interpreting neural structuring of concrete and abstract concepts.