An Introduction To Model Based Cognitive Neuroscience

Download An Introduction To Model Based Cognitive Neuroscience full books in PDF, epub, and Kindle. Read online An Introduction To Model Based Cognitive Neuroscience ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

An Introduction to Model-Based Cognitive Neuroscience

Author : Birte U. Forstmann
Publisher : Springer
ISBN 13 : 149392236X
Total Pages : 354 pages
Book Rating : 4.4/5 (939 download)

DOWNLOAD NOW!

Book Synopsis An Introduction to Model-Based Cognitive Neuroscience by : Birte U. Forstmann

Download or read book An Introduction to Model-Based Cognitive Neuroscience written by Birte U. Forstmann and published by Springer. This book was released on 2015-04-20 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two recent innovations, the emergence of formal cognitive models and the addition of cognitive neuroscience data to the traditional behavioral data, have resulted in the birth of a new, interdisciplinary field of study: model-based cognitive neuroscience. Despite the increasing scientific interest in model-based cognitive neuroscience, few active researchers and even fewer students have a good knowledge of the two constituent disciplines. The main goal of this edited collection is to promote the integration of cognitive modeling and cognitive neuroscience. Experts in the field will provide tutorial-style chapters that explain particular techniques and highlight their usefulness through concrete examples and numerous case studies. The book will also include a thorough list of references pointing the reader towards additional literature and online resources.

An Introduction to Model-Based Cognitive Neuroscience

Author : Birte U. Forstmann
Publisher : Springer Nature
ISBN 13 : 3031452712
Total Pages : 384 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!

Book Synopsis An Introduction to Model-Based Cognitive Neuroscience by : Birte U. Forstmann

Download or read book An Introduction to Model-Based Cognitive Neuroscience written by Birte U. Forstmann and published by Springer Nature. This book was released on with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Explorations in Cognitive Neuroscience

Author : Randall C. O'Reilly
Publisher : MIT Press
ISBN 13 : 9780262650540
Total Pages : 540 pages
Book Rating : 4.6/5 (55 download)

DOWNLOAD NOW!

Book Synopsis Computational Explorations in Cognitive Neuroscience by : Randall C. O'Reilly

Download or read book Computational Explorations in Cognitive Neuroscience written by Randall C. O'Reilly and published by MIT Press. This book was released on 2000-08-28 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience. The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.

Introduction to Cognitive Neuroscience

Author : Iiro Jääskeläinen
Publisher : Bookboon
ISBN 13 : 8740301001
Total Pages : 240 pages
Book Rating : 4.7/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Cognitive Neuroscience by : Iiro Jääskeläinen

Download or read book Introduction to Cognitive Neuroscience written by Iiro Jääskeläinen and published by Bookboon. This book was released on 2012 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Neural and Cognitive Modeling

Author : Daniel S. Levine
Publisher : Routledge
ISBN 13 : 0429828802
Total Pages : 480 pages
Book Rating : 4.4/5 (298 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Neural and Cognitive Modeling by : Daniel S. Levine

Download or read book Introduction to Neural and Cognitive Modeling written by Daniel S. Levine and published by Routledge. This book was released on 2018-10-26 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a general introduction to the field of neural networks. Thoroughly revised and updated from the previous editions of 1991 and 2000, the current edition concentrates on networks for modeling brain processes involved in cognitive and behavioral functions. Part one explores the philosophy of modeling and the field’s history starting from the mid-1940s, and then discusses past models of associative learning and of short-term memory that provide building blocks for more complex recent models. Part two of the book reviews recent experimental findings in cognitive neuroscience and discusses models of conditioning, categorization, category learning, vision, visual attention, sequence learning, behavioral control, decision making, reasoning, and creativity. The book presents these models both as abstract ideas and through examples and concrete data for specific brain regions. The book includes two appendices to help ground the reader: one reviewing the mathematics used in network modeling, and a second reviewing basic neuroscience at both the neuron and brain region level. The book also includes equations, practice exercises, and thought experiments.

Introduction to Modeling Cognitive Processes

Author : Tom Verguts
Publisher : MIT Press
ISBN 13 : 0262045362
Total Pages : 265 pages
Book Rating : 4.2/5 (62 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Modeling Cognitive Processes by : Tom Verguts

Download or read book Introduction to Modeling Cognitive Processes written by Tom Verguts and published by MIT Press. This book was released on 2022-02-01 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments. Cognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a mathematically gentle and theoretically unified introduction to modeling cognitive processes. Theoretical exercises of varying degrees of difficulty throughout help readers develop their modeling skills. After a general introduction to cognitive modeling and optimization, the book covers models of decision making; supervised learning algorithms, including Hebbian learning, delta rule, and backpropagation; the statistical model analysis methods of model parameter estimation and model evaluation; the three recent cognitive modeling approaches of reinforcement learning, unsupervised learning, and Bayesian models; and models of social interaction. All mathematical concepts are introduced gradually, with no background in advanced topics required. Hints and solutions for exercises and a glossary follow the main text. All code in the book is Python, with the Spyder editor in the Anaconda environment. A GitHub repository with Python files enables readers to access the computer code used and start programming themselves. The book is suitable as an introduction to modeling cognitive processes for students across a range of disciplines and as a reference for researchers interested in a broad overview.

Computational Neuroscience and Cognitive Modelling

Author : Britt Anderson
Publisher : SAGE
ISBN 13 : 1446297365
Total Pages : 460 pages
Book Rating : 4.4/5 (462 download)

DOWNLOAD NOW!

Book Synopsis Computational Neuroscience and Cognitive Modelling by : Britt Anderson

Download or read book Computational Neuroscience and Cognitive Modelling written by Britt Anderson and published by SAGE. This book was released on 2014-01-08 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: "For the neuroscientist or psychologist who cringes at the sight of mathematical formulae and whose eyes glaze over at terms like differential equations, linear algebra, vectors, matrices, Bayes’ rule, and Boolean logic, this book just might be the therapy needed." - Anjan Chatterjee, Professor of Neurology, University of Pennsylvania "Anderson provides a gentle introduction to computational aspects of psychological science, managing to respect the reader’s intelligence while also being completely unintimidating. Using carefully-selected computational demonstrations, he guides students through a wide array of important approaches and tools, with little in the way of prerequisites...I recommend it with enthusiasm." - Asohan Amarasingham, The City University of New York This unique, self-contained and accessible textbook provides an introduction to computational modelling neuroscience accessible to readers with little or no background in computing or mathematics. Organized into thematic sections, the book spans from modelling integrate and firing neurons to playing the game Rock, Paper, Scissors in ACT-R. This non-technical guide shows how basic knowledge and modern computers can be combined for interesting simulations, progressing from early exercises utilizing spreadsheets, to simple programs in Python. Key Features include: Interleaved chapters that show how traditional computing constructs are simply disguised versions of the spread sheet methods. Mathematical facts and notation needed to understand the modelling methods are presented at their most basic and are interleaved with biographical and historical notes for contex. Numerous worked examples to demonstrate the themes and procedures of cognitive modelling. An excellent text for postgraduate students taking courses in research methods, computational neuroscience, computational modelling, cognitive science and neuroscience. It will be especially valuable to psychology students.

Introduction to Neural and Cognitive Modeling

Author : Daniel S. Levine
Publisher : Psychology Press
ISBN 13 : 1135692246
Total Pages : 573 pages
Book Rating : 4.1/5 (356 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Neural and Cognitive Modeling by : Daniel S. Levine

Download or read book Introduction to Neural and Cognitive Modeling written by Daniel S. Levine and published by Psychology Press. This book was released on 2000-02-01 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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/

Introduction to Modeling Cognitive Processes

Author : Tom Verguts
Publisher : MIT Press
ISBN 13 : 0262045362
Total Pages : 265 pages
Book Rating : 4.2/5 (62 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Modeling Cognitive Processes by : Tom Verguts

The Student's Guide to Cognitive Neuroscience

Author : Jamie Ward
Publisher : Psychology Press
ISBN 13 : 1317586018
Total Pages : 549 pages
Book Rating : 4.3/5 (175 download)

DOWNLOAD NOW!

Book Synopsis The Student's Guide to Cognitive Neuroscience by : Jamie Ward

Download or read book The Student's Guide to Cognitive Neuroscience written by Jamie Ward and published by Psychology Press. This book was released on 2015-02-11 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reflecting recent changes in the way cognition and the brain are studied, this thoroughly updated third edition of the best-selling textbook provides a comprehensive and student-friendly guide to cognitive neuroscience. Jamie Ward provides an easy-to-follow introduction to neural structure and function, as well as all the key methods and procedures of cognitive neuroscience, with a view to helping students understand how they can be used to shed light on the neural basis of cognition. The book presents an up-to-date overview of the latest theories and findings in all the key topics in cognitive neuroscience, including vision, memory, speech and language, hearing, numeracy, executive function, social and emotional behaviour and developmental neuroscience, as well as a new chapter on attention. Throughout, case studies, newspaper reports and everyday examples are used to help students understand the more challenging ideas that underpin the subject. In addition each chapter includes: Summaries of key terms and points Example essay questions Recommended further reading Feature boxes exploring interesting and popular questions and their implications for the subject. Written in an engaging style by a leading researcher in the field, and presented in full-color including numerous illustrative materials, this book will be invaluable as a core text for undergraduate modules in cognitive neuroscience. It can also be used as a key text on courses in cognition, cognitive neuropsychology, biopsychology or brain and behavior. Those embarking on research will find it an invaluable starting point and reference. The Student’s Guide to Cognitive Neuroscience, 3rd Edition is supported by a companion website, featuring helpful resources for both students and instructors.

Fundamentals of Neural Network Modeling

Author : Randolph W. Parks
Publisher : MIT Press
ISBN 13 : 9780262161756
Total Pages : 450 pages
Book Rating : 4.1/5 (617 download)

DOWNLOAD NOW!

Book Synopsis Fundamentals of Neural Network Modeling by : Randolph W. Parks

Download or read book Fundamentals of Neural Network Modeling written by Randolph W. Parks and published by MIT Press. This book was released on 1998 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. Over the past few years, computer modeling has become more prevalent in the clinical sciences as an alternative to traditional symbol-processing models. This book provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. It is intended to make the neural network approach accessible to practicing neuropsychologists, psychologists, neurologists, and psychiatrists. It will also be a useful resource for computer scientists, mathematicians, and interdisciplinary cognitive neuroscientists. The editors (in their introduction) and contributors explain the basic concepts behind modeling and avoid the use of high-level mathematics. The book is divided into four parts. Part I provides an extensive but basic overview of neural network modeling, including its history, present, and future trends. It also includes chapters on attention, memory, and primate studies. Part II discusses neural network models of behavioral states such as alcohol dependence, learned helplessness, depression, and waking and sleeping. Part III presents neural network models of neuropsychological tests such as the Wisconsin Card Sorting Task, the Tower of Hanoi, and the Stroop Test. Finally, part IV describes the application of neural network models to dementia: models of acetycholine and memory, verbal fluency, Parkinsons disease, and Alzheimer's disease. Contributors J. Wesson Ashford, Rajendra D. Badgaiyan, Jean P. Banquet, Yves Burnod, Nelson Butters, John Cardoso, Agnes S. Chan, Jean-Pierre Changeux, Kerry L. Coburn, Jonathan D. Cohen, Laurent Cohen, Jose L. Contreras-Vidal, Antonio R. Damasio, Hanna Damasio, Stanislas Dehaene, Martha J. Farah, Joaquin M. Fuster, Philippe Gaussier, Angelika Gissler, Dylan G. Harwood, Michael E. Hasselmo, J, Allan Hobson, Sam Leven, Daniel S. Levine, Debra L. Long, Roderick K. Mahurin, Raymond L. Ownby, Randolph W. Parks, Michael I. Posner, David P. Salmon, David Servan-Schreiber, Chantal E. Stern, Jeffrey P. Sutton, Lynette J. Tippett, Daniel Tranel, Bradley Wyble

Developmental Cognitive Neuroscience

Author : Mark H. Johnson
Publisher : John Wiley & Sons
ISBN 13 : 1444351826
Total Pages : 317 pages
Book Rating : 4.4/5 (443 download)

DOWNLOAD NOW!

Book Synopsis Developmental Cognitive Neuroscience by : Mark H. Johnson

Download or read book Developmental Cognitive Neuroscience written by Mark H. Johnson and published by John Wiley & Sons. This book was released on 2011-07-18 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third edition of Developmental Cognitive Neuroscience presents a thorough updating and enhancement of the classic text that introduced the rapidly expanding field of developmental cognitive neuroscience. Includes the addition of two new chapters that provide further introductory material on new methodologies and the application of genetic methods in cognitive development Includes several key discussion points at the end of each chapter Features a greater focus on mid-childhood and adolescence, to complement the previous edition?s emphasis on early childhood Brings the science closer to real-world applications via a greater focus on fieldwork Includes a greater emphasis on structural and functional brain imaging

Handbook of Developmental Cognitive Neuroscience, second edition

Author : Charles A. Nelson
Publisher : MIT Press
ISBN 13 : 0262141043
Total Pages : 985 pages
Book Rating : 4.2/5 (621 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Developmental Cognitive Neuroscience, second edition by : Charles A. Nelson

Download or read book Handbook of Developmental Cognitive Neuroscience, second edition written by Charles A. Nelson and published by MIT Press. This book was released on 2008-07-11 with total page 985 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of an essential resource to the evolving field of developmental cognitive neuroscience, completely revised, with expanded emphasis on social neuroscience, clinical disorders, and imaging genomics. The publication of the second edition of this handbook testifies to the rapid evolution of developmental cognitive neuroscience as a distinct field. Brain imaging and recording technologies, along with well-defined behavioral tasks—the essential methodological tools of cognitive neuroscience—are now being used to study development. Technological advances have yielded methods that can be safely used to study structure-function relations and their development in children's brains. These new techniques combined with more refined cognitive models account for the progress and heightened activity in developmental cognitive neuroscience research. The Handbook covers basic aspects of neural development, sensory and sensorimotor systems, language, cognition, emotion, and the implications of lifelong neural plasticity for brain and behavioral development. The second edition reflects the dramatic expansion of the field in the seven years since the publication of the first edition. This new Handbook has grown from forty-one chapters to fifty-four, all original to this edition. It places greater emphasis on affective and social neuroscience—an offshoot of cognitive neuroscience that is now influencing the developmental literature. The second edition also places a greater emphasis on clinical disorders, primarily because such research is inherently translational in nature. Finally, the book's new discussions of recent breakthroughs in imaging genomics include one entire chapter devoted to the subject. The intersection of brain, behavior, and genetics represents an exciting new area of inquiry, and the second edition of this essential reference work will be a valuable resource for researchers interested in the development of brain-behavior relations in the context of both typical and atypical development.

Cognitive Neuroscience of Natural Language Use

Author : Roel M. Willems
Publisher : Cambridge University Press
ISBN 13 : 1316240061
Total Pages : 305 pages
Book Rating : 4.3/5 (162 download)

DOWNLOAD NOW!

Book Synopsis Cognitive Neuroscience of Natural Language Use by : Roel M. Willems

Download or read book Cognitive Neuroscience of Natural Language Use written by Roel M. Willems and published by Cambridge University Press. This book was released on 2015-02-12 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: When we think of everyday language use, the first things that come to mind include colloquial conversations, reading and writing e-mails, sending text messages or reading a book. But can we study the brain basis of language as we use it in our daily lives? As a topic of study, the cognitive neuroscience of language is far removed from these language-in-use examples. However, recent developments in research and technology have made studying the neural underpinnings of naturally occurring language much more feasible. In this book, a range of international experts provide a state-of-the-art overview of current approaches to making the cognitive neuroscience of language more 'natural' and closer to language use as it occurs in real life. The chapters explore topics including discourse comprehension, the study of dialogue, literature comprehension and the insights gained from looking at natural speech in neuropsychology.

Cognitive Neuroscience

Author : R. E. Passingham
Publisher : Oxford University Press
ISBN 13 : 0198786220
Total Pages : 153 pages
Book Rating : 4.1/5 (987 download)

DOWNLOAD NOW!

Book Synopsis Cognitive Neuroscience by : R. E. Passingham

Download or read book Cognitive Neuroscience written by R. E. Passingham and published by Oxford University Press. This book was released on 2016 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume describes the new field of cognitive neuroscience - the study of what happens in the brain when we perceive, think, reason, remember, and act. Focusing on the human brain, Passingham looks at the most recent research in the field, the modern brain imaging technologies, and what the images can and can't tell us.

Cognitive Science

Author : Jay Friedenberg
Publisher : SAGE Publications
ISBN 13 : 1483347427
Total Pages : 799 pages
Book Rating : 4.4/5 (833 download)

DOWNLOAD NOW!

Book Synopsis Cognitive Science by : Jay Friedenberg

Download or read book Cognitive Science written by Jay Friedenberg and published by SAGE Publications. This book was released on 2015-09-23 with total page 799 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Cognitive Science 3e Friedenberg and Silverman provide a solid understanding of the major theoretical and empirical contributions of cognitive science. Their text, thoroughly updated for this new third edition, describes the major theories of mind as well as the major experimental results that have emerged within each cognitive science discipline. Throughout history, different fields of inquiry have attempted to understand the great mystery of mind and answer questions like: What is the mind? How do we see, think, and remember? Can we create machines that are conscious and capable of self-awareness? This books examines these questions and many more. Focusing on the approach of a particular cognitive science field in each chapter, the authors describe its methodology, theoretical perspective, and findings and then offer a critical evaluation of the field. Features: Offers a wide-ranging, comprehensive, and multidisciplinary introduction to the field of cognitive science and issues of mind. Interdisciplinary Crossroads” sections at the end of each chapter focus on research topics that have been investigated from multiple perspectives, helping students to understand the link between varying disciplines and cognitive science. End-of-chapter “Summing Up” sections provide a concise summary of the major points addressed in each chapter to facilitate student comprehension and exam preparation “Explore More” sections link students to the Student Study Site where the authors have provided activities to help students more quickly master course content and prepare for examinations Supplements: A password-protected Instructor’s Resource contains PowerPoint lectures, a test bank and other pedagogical material.The book's Study Site features Web links, E-flash cards, and interactive quizzes.

Computational Modeling of Cognition and Behavior

Author : Simon Farrell
Publisher : Cambridge University Press
ISBN 13 : 110710999X
Total Pages : 485 pages
Book Rating : 4.1/5 (71 download)

DOWNLOAD NOW!

Book Synopsis Computational Modeling of Cognition and Behavior by : Simon Farrell

Download or read book Computational Modeling of Cognition and Behavior written by Simon Farrell and published by Cambridge University Press. This book was released on 2018-02-22 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models.