A Neurocomputational Perspective

A Neurocomputational Perspective
Author: Paul M. Churchland
Publisher: MIT Press
Total Pages: 348
Release: 1992
Genre: Philosophy
ISBN: 9780262531061

"A Bradford book."Includes index. Bibliography: p. [305]-313.

Disorders of Brain, Behavior, and Cognition: The Neurocomputational Perspective

Disorders of Brain, Behavior, and Cognition: The Neurocomputational Perspective
Author: J.A. Reggia
Publisher: Elsevier
Total Pages: 461
Release: 1999-09-16
Genre: Medical
ISBN: 0080862462

This book contains selected contributions of papers, many presented at the Second International Workshop on Neural Modeling of Brain Disorders, as well as a few additional papers on related topics, including a wide range of presentations describing computational models of neurological, neuropsychological and psychiatric disorders. It is a unique, comprehensive review of the state-of-the-art of modeling cognitive and brain disorders, appealing to a multidisciplinary audience of clinicians, psychologists, neuroscientists, cognitive scientists, computer scientists, and other neural network researchers. The rest of the book is organized along four main themes, involving memory, neuropsychological, neurological and psychiatric disorders. In general, the cognitive disorders and these psychiatric diseases traditionally regarded as "functional" were modeled along functional lines, while those disorders traditionally viewed as "organic" neurological diseases generally drew more from knowledge of the underlying neurobiology and pathophysiology.

Naturalism and Our Knowledge of Reality

Naturalism and Our Knowledge of Reality
Author: R. Scott Smith
Publisher: Routledge
Total Pages: 254
Release: 2016-04-22
Genre: Religion
ISBN: 1317089650

Philosophical naturalism is taken to be the preferred and reigning epistemology and metaphysics that underwrites many ideas and knowledge claims. But what if we cannot know reality on that basis? What if the institution of science is threatened by its reliance on naturalism? R. Scott Smith argues in a fresh way that we cannot know reality on the basis of naturalism. Moreover, the "fact-value" split has failed to serve our interests of wanting to know reality. The author provocatively argues that since we can know reality, it must be due to a non-naturalistic ontology, best explained by the fact that human knowers are made and designed by God. The book offers fresh implications for the testing of religious truth-claims, science, ethics, education, and public policy. Consequently, naturalism and the fact-value split are shown to be false, and Christian theism is shown to be true.

The Handbook of Brain Theory and Neural Networks

The Handbook of Brain Theory and Neural Networks
Author: Michael A. Arbib
Publisher: MIT Press
Total Pages: 1328
Release: 2003
Genre: Neural circuitry
ISBN: 0262011972

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).

Paul Churchland

Paul Churchland
Author: Brian L. Keeley
Publisher: Cambridge University Press
Total Pages: 240
Release: 2006
Genre: Philosophy
ISBN: 9780521830119

Offers an introduction to Churchland's work, alongside a critique of his most famous philosophical positions.

Theoretical Issues in Psychology

Theoretical Issues in Psychology
Author: Sacha Bem
Publisher: SAGE
Total Pages: 504
Release: 2013-05-22
Genre: Psychology
ISBN: 144629210X

Bem and de Jong present complex ideas in an accessible manner. Theoretical Issues in Psychology gives undergraduate psychology students all the resources they need to begin reflecting on the most pressing conceptual issues in their discipline. - Stuart Wilson, Queen Margaret University The 3rd edition of Theoretical Issues in Psychology provides an authoritative overview of the conceptual issues in psychology which introduces the underlying philosophies that underpin them. It includes new insights across the philosophy of science combined with increased psychological coverage to show clearly how these two communities interrelate, ensuring an integrative understanding of the fundamental debates and how they link to your wider studies. Key features of this new edition include: Concise paragraphs, multiple examples and additional summaries throughout to help you focus on key areas of knowledge. Textboxes with definitions and key concepts to help your understanding of the main debates and ideas. New content on the philosophy of mind, philosophy of science, cognition and cognitive neuroscience. New up-to-date material on consciousness and evolutionary psychology. For lecturers and teachers, PowerPoint slides are available for each chapter. Sacha Bem & Huib Looren de Jong′s textbook remains essential for students taking courses in conceptual and historical issues in psychology, the philosophy of psychology or theoretical psychology.

Scientific and Philosophical Perspectives in Neuroethics

Scientific and Philosophical Perspectives in Neuroethics
Author: James J. Giordano
Publisher: Cambridge University Press
Total Pages: 419
Release: 2010-02-18
Genre: Medical
ISBN: 1139487272

While neuroscience has provided insights into the structure and function of nervous systems, hard questions remain about the nature of consciousness, mind, and self. Perhaps the most difficult questions involve the meaning of neuroscientific information, and how to pursue and utilize neuroscientific knowledge in ways that are consistent with some construal of social 'good'. Written for researchers and graduate students in neuroscience and bioethics, Scientific and Philosophical Perspectives in Neuroethics explores important developments in neuroscience and neurotechnology, and addresses the philosophical, ethical, and social issues and problems that such advancements generate. It examines three core questions. First, what is the scope and direction of neuroscientific inquiry? Second, how has progress to date affected scientific and philosophical ideas, and finally, what ethical issues and problems does this progress and knowledge incur, both now and in the future?

Introduction to Neural and Cognitive Modeling

Introduction to Neural and Cognitive Modeling
Author: Daniel S. Levine
Publisher: Psychology Press
Total Pages: 512
Release: 2000-02
Genre: Psychology
ISBN: 1135692254

This thoroughly, thoughtfully revised edition of a very successful textbook makes the principles and the details of neural network modeling accessible to cognitive scientists of all varieties as well as to others interested in these models. Research since the publication of the first edition has been systematically incorporated into a framework of proven pedagogical value. Features of the second edition include: * A new section on spatiotemporal pattern processing * Coverage of ARTMAP networks (the supervised version of adaptive resonance networks) and recurrent back-propagation networks * A vastly expanded section on models of specific brain areas, such as the cerebellum, hippocampus, basal ganglia, and visual and motor cortex * Up-to-date coverage of applications of neural networks in areas such as combinatorial optimization and knowledge representation As in the first edition, the text includes extensive introductions to neuroscience and to differential and difference equations as appendices for students without the requisite background in these areas. As graphically revealed in the flowchart in the front of the book, the text begins with simpler processes and builds up to more complex multilevel functional systems. For more information visit the author's personal Web site at www.uta.edu/psychology/faculty/levine/

Artificial Neural Networks in Biological and Environmental Analysis

Artificial Neural Networks in Biological and Environmental Analysis
Author: Grady Hanrahan
Publisher: CRC Press
Total Pages: 206
Release: 2011-01-18
Genre: Mathematics
ISBN: 1439812594

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence research. Catalyzed by the upsurge in computational power and availability, and made widely accessible with the co-evolution of software, algorithms, and methodologies, artificial neural networks have had a profound