Neuroscience and Connectionist Theory

Neuroscience and Connectionist Theory PDF Author: Mark A. Gluck
Publisher: Psychology Press
ISBN: 0805805044
Category : Computers
Languages : en
Pages : 422

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Book Description
Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example of how biological data and network models interact with the authors' research. The biological phenomena cover network- or circuit-level phenomena in humans and other higher-order vertebrates.

Neuroscience and Connectionist Theory

Neuroscience and Connectionist Theory PDF Author: Mark A. Gluck
Publisher: Psychology Press
ISBN: 0805805044
Category : Computers
Languages : en
Pages : 422

Get Book Here

Book Description
Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example of how biological data and network models interact with the authors' research. The biological phenomena cover network- or circuit-level phenomena in humans and other higher-order vertebrates.

Neuroscience and Connectionist Theory

Neuroscience and Connectionist Theory PDF Author: Mark A. Gluck
Publisher: Psychology Press
ISBN: 1134751737
Category : Psychology
Languages : en
Pages : 422

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Book Description
Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example of how biological data and network models interact with the authors' research. The biological phenomena cover network- or circuit-level phenomena in humans and other higher-order vertebrates.

The Cambridge Handbook of Computational Psychology

The Cambridge Handbook of Computational Psychology PDF Author: Ron Sun
Publisher: Cambridge University Press
ISBN: 0521674107
Category : Computers
Languages : en
Pages : 767

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Book Description
A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.

Rethinking Innateness

Rethinking Innateness PDF Author: Jeffrey L. Elman
Publisher: MIT Press
ISBN: 9780262550307
Category : Family & Relationships
Languages : en
Pages : 484

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Book Description
Rethinking Innateness asks the question, "What does it really mean to say that a behavior is innate?" The authors describe a new framework in which interactions, occurring at all levels, give rise to emergent forms and behaviors. These outcomes often may be highly constrained and universal, yet are not themselves directly contained in the genes in any domain-specific way. One of the key contributions of Rethinking Innateness is a taxonomy of ways in which a behavior can be innate. These include constraints at the level of representation, architecture, and timing; typically, behaviors arise through the interaction of constraints at several of these levels.The ideas are explored through dynamic models inspired by a new kind of "developmental connectionism," a marriage of connectionist models and developmental neurobiology, forming a new theoretical framework for the study of behavioral development. While relying heavily on the conceptual and computational tools provided by connectionism, Rethinking Innateness also identifies ways in which these tools need to be enriched by closer attention to biology.

The Handbook of Brain Theory and Neural Networks

The Handbook of Brain Theory and Neural Networks PDF Author: Michael A. Arbib
Publisher: MIT Press
ISBN: 0262011972
Category : Neural circuitry
Languages : en
Pages : 1328

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Book Description
This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).

Toward a Unified Theory of Development

Toward a Unified Theory of Development PDF Author: John P. Spencer
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 424

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Book Description
This resource defines and refines two major theoretical approaches within developmental science that address the central issues of development-connectionism and dynamical systems theory.

The Algebraic Mind

The Algebraic Mind PDF Author: Gary F. Marcus
Publisher: MIT Press
ISBN: 0262354403
Category : Psychology
Languages : en
Pages : 241

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Book Description
In The Algebraic Mind, Gary Marcus attempts to integrate two theories about how the mind works, one that says that the mind is a computer-like manipulator of symbols, and another that says that the mind is a large network of neurons working together in parallel. Resisting the conventional wisdom that says that if the mind is a large neural network it cannot simultaneously be a manipulator of symbols, Marcus outlines a variety of ways in which neural systems could be organized so as to manipulate symbols, and he shows why such systems are more likely to provide an adequate substrate for language and cognition than neural systems that are inconsistent with the manipulation of symbols. Concluding with a discussion of how a neurally realized system of symbol-manipulation could have evolved and how such a system could unfold developmentally within the womb, Marcus helps to set the future agenda of cognitive neuroscience.

Connectionism and the Mind

Connectionism and the Mind PDF Author: William Bechtel
Publisher: Wiley-Blackwell
ISBN: 9780631207139
Category : Philosophy
Languages : en
Pages : 424

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Book Description
Connectionism and the Mind provides a clear and balanced introduction to connectionist networks and explores theoretical and philosophical implications. Much of this discussion from the first edition has been updated, and three new chapters have been added on the relation of connectionism to recent work on dynamical systems theory, artificial life, and cognitive neuroscience. Read two of the sample chapters on line: Connectionism and the Dynamical Approach to Cognition: http://www.blackwellpublishing.com/pdf/bechtel.pdf Networks, Robots, and Artificial Life: http://www.blackwellpublishing.com/pdf/bechtel2.pdf

Exploring Cognition: Damaged Brains and Neural Networks

Exploring Cognition: Damaged Brains and Neural Networks PDF Author: Gillian Cohen
Publisher: Psychology Press
ISBN: 1317710126
Category : Psychology
Languages : en
Pages : 481

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Book Description
An innovative, topical and engaging reader to accompany advanced undergraduate and postgraduate courses in cognition Presents a unique collection of key articles by leading international researchers in cognition, cognitive neuropsychology and connectionism Brings together in one place articles that challenge or inform traditional theories of cognition Spotlights current areas of debate and controversy in cogntive psychology of interest to students and researchers alike Editors are widely known in their fields and are authors of successful textbooks Introduction and linking sections provide essential context and evaluation

The Handbook of Brain Theory and Neural Networks

The Handbook of Brain Theory and Neural Networks PDF Author: Michael A. Arbib
Publisher: MIT Press (MA)
ISBN: 9780262511025
Category : Computers
Languages : en
Pages : 1118

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Book Description
Choice Outstanding Academic Title, 1996. In hundreds of articles by experts from around the world, and in overviews and "road maps" prepared by the editor, The Handbook of Brain Theory and Neural Networks charts the immense progress made in recent years in many specific areas related to great questions: How does the brain work? How can we build intelligent machines? While many books discuss limited aspects of one subfield or another of brain theory and neural networks, the Handbook covers the entire sweep of topics—from detailed models of single neurons, analyses of a wide variety of biological neural networks, and connectionist studies of psychology and language, to mathematical analyses of a variety of abstract neural networks, and technological applications of adaptive, artificial neural networks. Expository material makes the book accessible to readers with varied backgrounds while still offering a clear view of the recent, specialized research on specific topics.