The Neural Architecture of Grammar

The Neural Architecture of Grammar PDF Author: Stephen E. Nadeau
Publisher:
ISBN: 9780262301619
Category : SCIENCE
Languages : en
Pages : 221

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Book Description
"A comprehensive, neurally based theory of language function that draws on principles of neuroanatomy, cognitive psychology, cognitive neuropsychology, psycholinguistics, and parallel distributed processing."--Provided by publisher.

The Neural Architecture of Grammar

The Neural Architecture of Grammar PDF Author: Stephen E. Nadeau
Publisher:
ISBN: 9780262301619
Category : SCIENCE
Languages : en
Pages : 221

Get Book

Book Description
"A comprehensive, neurally based theory of language function that draws on principles of neuroanatomy, cognitive psychology, cognitive neuropsychology, psycholinguistics, and parallel distributed processing."--Provided by publisher.

The Neural Architecture of Grammar

The Neural Architecture of Grammar PDF Author: Stephen E. Nadeau
Publisher: MIT Press
ISBN: 0262017024
Category : Language Arts & Disciplines
Languages : en
Pages : 221

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Book Description
A comprehensive, neurally based theory of language function that draws on principles of neuroanatomy, cognitive psychology, cognitive neuropsychology, psycholinguistics, and parallel distributed processing. Linguists have mapped the topography of language behavior in many languages in intricate detail. To understand how the brain supports language function, however, we must take into account the principles and regularities of neural function. Mechanisms of neurolinguistic function cannot be inferred solely from observations of normal and impaired language. In The Neural Architecture of Grammar, Stephen Nadeau develops a neurologically plausible theory of grammatic function. He brings together principles of neuroanatomy, neurophysiology, and parallel distributed processing and draws on literature on language function from cognitive psychology, cognitive neuropsychology, psycholinguistics, and functional imaging to develop a comprehensive neurally based theory of language function. Nadeau reviews the aphasia literature, including cross-linguistic aphasia research, to test the model's ability to account for the findings of these empirical studies. Nadeau finds that the model readily accounts for a crucial finding in cross-linguistic studies--that the most powerful determinant of patterns of language breakdown in aphasia is the predisorder language spoken by the subject--and that it does so by conceptualizing grammatic function in terms of the statistical regularities of particular languages that are encoded in network connectivity. He shows that the model provides a surprisingly good account for many findings and offers solutions for a number of controversial problems. Moreover, aphasia studies provide the basis for elaborating the model in interesting and important ways.

The Oscillatory Nature of Language

The Oscillatory Nature of Language PDF Author: Elliot Murphy
Publisher: Cambridge University Press
ISBN: 1108836313
Category : Language Arts & Disciplines
Languages : en
Pages : 337

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Book Description
Develops a theory of how language is processed in the brain and provides a state-of-the-art review of current neuroscientific debates.

From Molecule to Metaphor

From Molecule to Metaphor PDF Author: Jerome Feldman
Publisher: MIT Press
ISBN: 0262296888
Category : Psychology
Languages : en
Pages : 758

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Book Description
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.

Neurosemantics

Neurosemantics PDF Author: Alessio Plebe
Publisher: Springer
ISBN: 3319285521
Category : Philosophy
Languages : en
Pages : 235

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Book Description
This book examines the concept of “ Neurosemantics”, a term currently used in two different senses: the informational meaning of the physical processes in the neural circuits, and semantics in its classical sense, as the meaning of language, explained in terms of neural processes. The book explores this second sense of neurosemantics, yet in doing so, it addresses much of the first meaning as well. Divided into two parts, the book starts with a description and analysis of the mathematics of the brain, including computational units, representational mechanisms and algorithmic principles. This first part pays special attention to the neural architecture which has been used in developing models of neurosemantics. The second part of the book presents a collection of models, and describes each model reproducing specific aspects of the semantics of language. Some of these models target one of the core problems of semantics, the reference of nouns, and in particular of nouns with a strong perceptual characterization. Others address the semantics of predicates, with a detailed analysis of colour attributes. While this book represents a radical shift from traditional semantics, it still pursues a line of continuity that is based on the idea that meaning can be captured, and explained, by a sort of computation.

Syntactic Structures

Syntactic Structures PDF Author: Noam Chomsky
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3112316002
Category : Language Arts & Disciplines
Languages : en
Pages : 120

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Book Description
No detailed description available for "Syntactic Structures".

Artificial Neural Networks in Real-life Applications

Artificial Neural Networks in Real-life Applications PDF Author: Juan Ramon Rabunal
Publisher: IGI Global
ISBN: 1591409020
Category : Technology & Engineering
Languages : en
Pages : 395

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Book Description
"This book offers an outlook of the most recent works at the field of the Artificial Neural Networks (ANN), including theoretical developments and applications of systems using intelligent characteristics for adaptability"--Provided by publisher.

Computational Models for Neuroscience

Computational Models for Neuroscience PDF Author: Robert Hecht-Nielsen
Publisher: Springer Science & Business Media
ISBN: 1447100859
Category : Medical
Languages : en
Pages : 311

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Book Description
Formal study of neuroscience (broadly defined) has been underway for millennia. For example, writing 2,350 years ago, Aristotle! asserted that association - of which he defined three specific varieties - lies at the center of human cognition. Over the past two centuries, the simultaneous rapid advancements of technology and (conse quently) per capita economic output have fueled an exponentially increasing effort in neuroscience research. Today, thanks to the accumulated efforts of hundreds of thousands of scientists, we possess an enormous body of knowledge about the mind and brain. Unfortunately, much of this knowledge is in the form of isolated factoids. In terms of "big picture" understanding, surprisingly little progress has been made since Aristotle. In some arenas we have probably suffered negative progress because certain neuroscience and neurophilosophy precepts have clouded our self-knowledge; causing us to become largely oblivious to some of the most profound and fundamental aspects of our nature (such as the highly distinctive propensity of all higher mammals to automatically seg ment all aspects of the world into distinct holistic objects and the massive reorganiza tion of large portions of our brains that ensues when we encounter completely new environments and life situations). At this epoch, neuroscience is like a huge collection of small, jagged, jigsaw puz zle pieces piled in a mound in a large warehouse (with neuroscientists going in and tossing more pieces onto the mound every month).

Language, Mind, and Power

Language, Mind, and Power PDF Author: Daniel R. Boisvert
Publisher: Routledge
ISBN: 1000059537
Category : Language Arts & Disciplines
Languages : en
Pages : 270

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Book Description
Language is a natural resource: Power and vulnerability are associated with access to language, just as to food and water. In this new book, a linguist and philosopher elucidate why language is so powerful, illuminate its very real social and political implications, and make the case for linguistic equality—equality among languages and equality in access to/knowledge of language and its use—as a human right and tool to prevent violence and oppression. Students and instructors will find this accessible, interdisciplinary text invaluable for courses that explore how language reflects power structures in linguistics, philosophy/ethics, and cognitive science/psychology.

Principles of Neural Design

Principles of Neural Design PDF Author: Peter Sterling
Publisher: MIT Press
ISBN: 0262534681
Category : Science
Languages : en
Pages : 567

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Book Description
Two distinguished neuroscientists distil general principles from more than a century of scientific study, “reverse engineering” the brain to understand its design. Neuroscience research has exploded, with more than fifty thousand neuroscientists applying increasingly advanced methods. A mountain of new facts and mechanisms has emerged. And yet a principled framework to organize this knowledge has been missing. In this book, Peter Sterling and Simon Laughlin, two leading neuroscientists, strive to fill this gap, outlining a set of organizing principles to explain the whys of neural design that allow the brain to compute so efficiently. Setting out to “reverse engineer” the brain—disassembling it to understand it—Sterling and Laughlin first consider why an animal should need a brain, tracing computational abilities from bacterium to protozoan to worm. They examine bigger brains and the advantages of “anticipatory regulation”; identify constraints on neural design and the need to “nanofy”; and demonstrate the routes to efficiency in an integrated molecular system, phototransduction. They show that the principles of neural design at finer scales and lower levels apply at larger scales and higher levels; describe neural wiring efficiency; and discuss learning as a principle of biological design that includes “save only what is needed.” Sterling and Laughlin avoid speculation about how the brain might work and endeavor to make sense of what is already known. Their distinctive contribution is to gather a coherent set of basic rules and exemplify them across spatial and functional scales.