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  1. A theory of magnitude: common cortical metrics of time, space and quantity.V. Walsh - 2003 - Trends in Cognitive Sciences 7 (11):483-488.
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  • From monkey-like action recognition to human language: An evolutionary framework for neurolinguistics.Michael A. Arbib - 2005 - Behavioral and Brain Sciences 28 (2):105-124.
    The article analyzes the neural and functional grounding of language skills as well as their emergence in hominid evolution, hypothesizing stages leading from abilities known to exist in monkeys and apes and presumed to exist in our hominid ancestors right through to modern spoken and signed languages. The starting point is the observation that both premotor area F5 in monkeys and Broca's area in humans contain a “mirror system” active for both execution and observation of manual actions, and that F5 (...)
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  • The brain's concepts: The role of the sensory-motor system in conceptual knowledge.Vittorio Gallese & George Lakoff - 2007 - Cognitive Neuropsychology 22 (3-4):455-479.
    Concepts are the elementary units of reason and linguistic meaning. They are conventional and relatively stable. As such, they must somehow be the result of neural activity in the brain. The questions are: Where? and How? A common philosophical position is that all concepts—even concepts about action and perception—are symbolic and abstract, and therefore must be implemented outside the brain’s sensory-motor system. We will argue against this position using (1) neuroscientific evidence; (2) results from neural computation; and (3) results about (...)
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  • The representation of object concepts in the brain.Alex Martin - 2007
    Evidence from functional neuroimaging of the human brain indicates that information about salient properties of an object¿such as what it looks like, how it moves, and how it is used¿is stored in sensory and motor systems active when that information was acquired. As a result, object concepts belonging to different categories like animals and tools are represented in partially distinct, sensory- and motor property-based neural networks. This suggests that object concepts are not explicitly represented, but rather emerge from weighted activity (...)
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