An Introduction To Model Based Cognitive Neuroscience

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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)

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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 : 1446297373
Total Pages : 241 pages
Book Rating : 4.4/5 (462 download)

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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 241 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.

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)

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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:

Fundamentals of Cognitive Neuroscience

Author : Nicole M. Gage
Publisher : Academic Press
ISBN 13 : 012803839X
Total Pages : 566 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Fundamentals of Cognitive Neuroscience by : Nicole M. Gage

Download or read book Fundamentals of Cognitive Neuroscience written by Nicole M. Gage and published by Academic Press. This book was released on 2018-03-14 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Cognitive Neuroscience: A Beginner's Guide, Second Edition, is a comprehensive, yet accessible, beginner's guide on cognitive neuroscience. This text takes a distinctive, commonsense approach to help newcomers easily learn the basics of how the brain functions when we learn, act, feel, speak and socialize. This updated edition includes contents and features that are both academically rigorous and engaging, including a step-by-step introduction to the visible brain, colorful brain illustrations, and new chapters on emerging topics in cognition research, including emotion, sleep and disorders of consciousness, and discussions of novel findings that highlight cognitive neuroscience's practical applications. Written by two leading experts in the field and thoroughly updated, this book remains an indispensable introduction to the study of cognition. - Winner of a 2019 Textbook Excellence Award (College) (Texty) from the Textbook and Academic Authors Association - Presents an easy-to-read introduction to mind-brain science based on a simple functional diagram linked to specific brain functions - Provides new, up-to-date, colorful brain images directly from research labs - Contains "In the News" boxes that describe the newest research and augment foundational content - Includes both a student and instructor website with basic terms and definitions, chapter guides, study questions, drawing exercises, downloadable lecture slides, test bank, flashcards, sample syllabi and links to multimedia resources

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)

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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.

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)

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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

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)

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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

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)

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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.

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)

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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.

Introduction to Cognitive Neuroscience

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

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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:

Cognitive Neuroscience

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

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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 Very Short Introduction 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.

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)

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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.

Introduction to Social Neuroscience

Author : Stephanie Cacioppo
Publisher : Princeton University Press
ISBN 13 : 069118917X
Total Pages : 302 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Introduction to Social Neuroscience by : Stephanie Cacioppo

Download or read book Introduction to Social Neuroscience written by Stephanie Cacioppo and published by Princeton University Press. This book was released on 2020-08-11 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook that lays down the foundational principles for understanding social neuroscience Humans, like many other animals, are a highly social species. But how do our biological systems implement social behaviors, and how do these processes shape the brain and biology? Spanning multiple disciplines, Introduction to Social Neuroscience seeks to engage students and scholars alike in exploring the effects of the brain’s perceived connections with others. This wide-ranging textbook provides a quintessential foundation for comprehending the psychological, neural, hormonal, cellular, and genomic mechanisms underlying such varied social processes as loneliness, empathy, theory-of-mind, trust, and cooperation. Stephanie and John Cacioppo posit that our brain is our main social organ. They show how the same objective relationship can be perceived as friendly or threatening depending on the mental states of the individuals involved in that relationship. They present exercises and evidence-based findings readers can put into practice to better understand the neural roots of the social brain and the cognitive and health implications of a dysfunctional social brain. This textbook’s distinctive features include the integration of human and animal studies, clinical cases from medicine, multilevel analyses of topics from genes to societies, and a variety of methodologies. Unveiling new facets to the study of the social brain’s anatomy and function, Introduction to Social Neuroscience widens the scientific lens on human interaction in society. The first textbook on social neuroscience intended for advanced undergraduates and graduate students Chapters address the psychological, neural, hormonal, cellular, and genomic mechanisms underlying the brain’s perceived connections with others Materials integrate human and animal studies, clinical cases, multilevel analyses, and multiple disciplines

Computational Cognitive Neuroscience

Author : Yuko Munakata
Publisher : Independently Published
ISBN 13 :
Total Pages : 188 pages
Book Rating : 4.6/5 (335 download)

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Book Synopsis Computational Cognitive Neuroscience by : Yuko Munakata

Download or read book Computational Cognitive Neuroscience written by Yuko Munakata and published by Independently Published. This book was released on 2012-09 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to computer modeling of the brain, to understand how people think. Networks of interacting neurons produce complex emergent behavior including perception, attention, motor control, learning, memory, language, and executive functions (motivation, decision making, planning, etc).

Essentials of Cognitive Neuroscience

Author : Bradley R. Postle
Publisher : John Wiley & Sons
ISBN 13 : 1118468260
Total Pages : 608 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Essentials of Cognitive Neuroscience by : Bradley R. Postle

Download or read book Essentials of Cognitive Neuroscience written by Bradley R. Postle and published by John Wiley & Sons. This book was released on 2015-01-08 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essentials of Cognitive Neuroscience guides undergraduate and early-stage graduate students with no previous neuroscientific background through the fundamental principles and themes in a concise, organized, and engaging manner. Provides students with the foundation to understand primary literature, recognize current controversies in the field, and engage in discussions on cognitive neuroscience and its future Introduces important experimental methods and techniques integrated throughout the text Assists student comprehension through four-color images and thorough pedagogical resources throughout the text Accompanied by a robust website with multiple choice questions, experiment vidoes, fMRI data, web links and video narratives from a global group of leading scientists for students. For Instructors there are sample syllabi and exam questions

Foundations in Evolutionary Cognitive Neuroscience

Author : Steven M. Platek
Publisher : Cambridge University Press
ISBN 13 : 0521884217
Total Pages : 233 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Foundations in Evolutionary Cognitive Neuroscience by : Steven M. Platek

Download or read book Foundations in Evolutionary Cognitive Neuroscience written by Steven M. Platek and published by Cambridge University Press. This book was released on 2009-02-26 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential primer presenting major topics of study undertaken by evolutionary cognitive neuroscientists.

The Cambridge Handbook of Computational Psychology

Author : Ron Sun
Publisher : Cambridge University Press
ISBN 13 : 0521674107
Total Pages : 767 pages
Book Rating : 4.5/5 (216 download)

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Book Synopsis The Cambridge Handbook of Computational Psychology by : Ron Sun

Download or read book The Cambridge Handbook of Computational Psychology written by Ron Sun and published by Cambridge University Press. This book was released on 2008-04-28 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.