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From molecule to metaphor : a neural theory of language.
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ISBN: 9780262062534 9780262562355 0262062534 0262562359 9786612100833 0262272547 1282100831 1429477296 9780262272544 9781429477291 9781282100831 6612100834 0262296888 Year: 2006 Publisher: Cambridge MIT press

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In From Molecule to Metaphor, Jerome Feldman proposes a theory of language and thought that treats language not as an abstract symbol system but as a human biological ability that can be studied as a function of the brain, as vision and motor control are studied. This theory, he writes, is a "bridging theory" that works from extensive knowledge at two ends of a causal chain to explicate the links between. Although the cognitive sciences are revealing much about how our brains produce language and thought, we do not yet know exactly how words are understood or have any methodology for finding out. Feldman develops his theory in computer simulations--formal models that suggest ways that language and thought may be realized in the brain. Combining key findings and theories from biology, computer science, linguistics, and psychology, Feldman synthesizes a theory by exhibiting programs that demonstrate the required behavior while remaining consistent with the findings from all disciplines.After presenting the essential results on language, learning, neural computation, the biology of neurons and neural circuits, and the mind/brain, Feldman introduces specific demonstrations and formal models of such topics as how children learn their first words, words for abstract and metaphorical concepts, understanding stories, and grammar (including "hot-button" issues surrounding the innateness of human grammar). With this accessible, comprehensive book Feldman offers readers who want to understand how our brains create thought and language a theory of language that is intuitively plausible and also consistent with existing scientific data at all levels.


Book
A programming methodology for distributed computing (among other things)
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Publisher: Rochester University of Rochester. Department of computer science

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Neural networks : a systematic introduction
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ISBN: 3540605053 9783540605058 3642610684 Year: 1996 Publisher: Berlin : Springer-Verlag,

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Book
Learning automata from ordered examples
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Year: 1988 Publisher: Rochester University of Rochester. Department of computer science

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Dissertation
A synthesis of manipulator control programs from task-level specifications
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Year: 1976 Publisher: Stanford, CA : Stanford University,

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Periodical
Computational models of cognition and perception
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Year: 1986 Publisher: Cambridge, Mass. London MIT Press

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