Search Results for "computational-explorations-in-cognitive-neuroscience-understanding-the-mind-by-simulating-the-brain"

Computational Explorations in Cognitive Neuroscience

Computational Explorations in Cognitive Neuroscience

Understanding the Mind by Simulating the Brain

  • Author: Randall C. O'Reilly,Yuko Munakata
  • Publisher: MIT Press
  • ISBN: 9780262650540
  • Category: Computers
  • Page: 504
  • View: 4076
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This text, based on a course taught by Randall O'Reilly and Yuko Munakata over thepast several years, provides an in-depth introduction to the main ideas in the computationalcognitive neuroscience.

The Routledge Handbook of the Computational Mind

The Routledge Handbook of the Computational Mind

  • Author: Mark Sprevak,Matteo Colombo
  • Publisher: Routledge
  • ISBN: 1317286715
  • Category: Philosophy
  • Page: 510
  • View: 8704
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Computational approaches dominate contemporary cognitive science, promising a unified, scientific explanation of how the mind works. However, computational approaches raise major philosophical and scientific questions. In what sense is the mind computational? How do computational approaches explain perception, learning, and decision making? What kinds of challenges should computational approaches overcome to advance our understanding of mind, brain, and behaviour? The Routledge Handbook of the Computational Mind is an outstanding overview and exploration of these issues and the first philosophical collection of its kind. Comprising thirty-five chapters by an international team of contributors from different disciplines, the Handbook is organised into four parts: History and future prospects of computational approaches Types of computational approach Foundations and challenges of computational approaches Applications to specific parts of psychology. Essential reading for students and researchers in philosophy of mind, philosophy of psychology, and philosophy of science, The Routledge Handbook of the Computational Mind will also be of interest to those studying computational models in related subjects such as psychology, neuroscience, and computer science.

Fundamentals of Computational Neuroscience

Fundamentals of Computational Neuroscience

  • Author: Thomas Trappenberg
  • Publisher: Oxford University Press
  • ISBN: 0199568413
  • Category: Mathematics
  • Page: 390
  • View: 9340
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The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental networkarchitectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can begained with such studies.

Handbook of Cognitive Science

Handbook of Cognitive Science

An Embodied Approach

  • Author: Paco Calvo,Toni Gomila
  • Publisher: Elsevier
  • ISBN: 9780080914879
  • Category: Computers
  • Page: 498
  • View: 4711
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The Handbook of Cognitive Science provides an overview of recent developments in cognition research, relying upon non-classical approaches. Cognition is explained as the continuous interplay between brain, body, and environment, without relying on classical notions of computations and representation to explain cognition. The handbook serves as a valuable companion for readers interested in foundational aspects of cognitive science, and neuroscience and the philosophy of mind. The handbook begins with an introduction to embodied cognitive science, and then breaks up the chapters into separate sections on conceptual issues, formal approaches, embodiment in perception and action, embodiment from an artificial perspective, embodied meaning, and emotion and consciousness. Contributors to the book represent research overviews from around the globe including the US, UK, Spain, Germany, Switzerland, France, Sweden, and the Netherlands.

The Algebraic Mind

The Algebraic Mind

Integrating Connectionism and Cognitive Science

  • Author: Gary F. Marcus
  • Publisher: MIT Press
  • ISBN: 9780262632683
  • Category: Education
  • Page: 240
  • View: 9358
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The Algebraic Mind revamps our understanding of models in cognitive neuroscience and helps to set a new agenda for the field."--Jacket.

Cognitive Neuroscience and Psychotherapy

Cognitive Neuroscience and Psychotherapy

Network Principles for a Unified Theory

  • Author: Warren Tryon
  • Publisher: Academic Press
  • ISBN: 0124200982
  • Category: Psychology
  • Page: 692
  • View: 8411
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Cognitive Neuroscience and Psychotherapy provides a bionetwork theory unifying empirical evidence in cognitive neuroscience and psychopathology to explain how emotion, learning, and reinforcement affect personality and its extremes. The book uses the theory to explain research results in both disciplines and to predict future findings, as well as to suggest what the theory and evidence say about how we should be treating disorders for maximum effectiveness. While theoretical in nature, the book has practical applications, and takes a mathematical approach to proving its own theorems. The book is unapologetically physical in nature, describing everything we think and feel by way of physical mechanisms and reactions in the brain. This unique marrying of cognitive neuroscience and clinical psychology provides an opportunity to better understand both. Unifying theory for cognitive neuroscience and clinical psychology Describes the brain in physical terms via mechanistic processes Systematically uses the theory to explain empirical evidence in both disciplines Theory has practical applications for psychotherapy Ancillary material may be found at: http://booksite.elsevier.com/9780124200715 including an additional chapter and supplements

Brain Development and Cognition

Brain Development and Cognition

A Reader

  • Author: Mark H. Johnson,Yuko Munakata,Rick O. Gilmore
  • Publisher: John Wiley & Sons
  • ISBN: 0470752025
  • Category: Psychology
  • Page: 560
  • View: 5072
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The first edition of this successful reader brought together key readings in the area of developmental cognitive neuroscience for students. Now updated in order to keep up with this fast moving field, the volume includes new readings illustrating recent developments along with updated versions of previous contributions.

The Cognitive Sciences

The Cognitive Sciences

An Interdisciplinary Approach

  • Author: Carolyn P. Sobel,Paul Li
  • Publisher: SAGE Publications
  • ISBN: 1483306194
  • Category: Psychology
  • Page: 440
  • View: 5748
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The Cognitive Sciences: An Interdisciplinary Approach, Second Edition offers an engaging, thorough introduction to the cognitive sciences. Authors Carolyn Sobel and Paul Li examine the historical and contemporary issues and research findings of the core cognitive science disciplines: cognitive psychology, neuroscience, artificial intelligence, linguistics, evolutionary psychology, and philosophy. For each of these core disciplines, the historical development and classic research studies are presented in one chapter and current research development and issues follow in a second chapter, offering students a broad understanding of the development of each concentration in the cognitive sciences. The text presents a student-friendly approach to understanding how each discipline has contributed to the growth of cognitive science and the implications for future research. NEW TO THIS EDITION Includes a new chapter on evolutionary psychology, an important emerging field in the cognitive sciences. Offers fully updated research, including subjects such as embodied cognition and extended cognition (philosophy), bilingualism indicating its wide-ranging effects on brain capabilities (linguistics), and current work in neuroplasticity (neuroscience). A new image program helps illustrate new and key concepts in the text. The companion website contains helpful pedagogical features to aid faculty and students. Praise for The Cognitive Sciences, Second Edition “I am impressed with the completeness of the text. I have suffered from some tunnel vision thinking that all cognitive science intros needed to be more thematic. The field approach of this one is a refreshing change.” - Kenneth M. Moorman, Transylvania University “You have a winner. It is well organized, cutting edge, theoretical, and substantive, and easy to read. The stories and contextualization of the material for the reader was the biggest strength of this text.” - Thelon Byrd Jr., Bowie State University “The text is clear, organized, and, overall, very well-written. In fact, it has been a pleasure to read. It should be very accessible to undergrads in an introductory cognitive science course, whether majors or not." - Michael R. Scheessele, Indiana University South Bend

Computational Modeling and Simulation of Intellect: Current State and Future Perspectives

Computational Modeling and Simulation of Intellect: Current State and Future Perspectives

Current State and Future Perspectives

  • Author: Igelnik, Boris
  • Publisher: IGI Global
  • ISBN: 1609605527
  • Category: Computers
  • Page: 686
  • View: 9610
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"This book confronts the problem of meaning by fusing together methods specific to different fields and exploring the computational efficiency and scalability of these methods"--Provided by publisher.

Explaining the Computational Mind

Explaining the Computational Mind

  • Author: Marcin Miłkowski
  • Publisher: MIT Press
  • ISBN: 0262018861
  • Category: Philosophy
  • Page: 243
  • View: 7057
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A defense of the computational explanation of cognition that relies on mechanistic philosophy of science and advocates for explanatory pluralism. In this book, Marcin Milkowski argues that the mind can be explained computationally because it is itself computational--whether it engages in mental arithmetic, parses natural language, or processes the auditory signals that allow us to experience music. Defending the computational explanation against objections to it--from John Searle and Hilary Putnam in particular--Milkowski writes that computationalism is here to stay but is not what many have taken it to be. It does not, for example, rely on a Cartesian gulf between software and hardware, or mind and brain. Milkowski's mechanistic construal of computation allows him to show that no purely computational explanation of a physical process will ever be complete. Computationalism is only plausible, he argues, if you also accept explanatory pluralism. Milkowski sketches a mechanistic theory of implementation of computation against a background of extant conceptions, describing four dissimilar computational models of cognition. He reviews other philosophical accounts of implementation and computational explanation and defends a notion of representation that is compatible with his mechanistic account and adequate vis à vis the four models discussed earlier. Instead of arguing that there is no computation without representation, he inverts the slogan and shows that there is no representation without computation--but explains that representation goes beyond purely computational considerations. Milkowski's arguments succeed in vindicating computational explanation in a novel way by relying on mechanistic theory of science and interventionist theory of causation.

Computational Neuroscience and Cognitive Modelling

Computational Neuroscience and Cognitive Modelling

A Student's Introduction to Methods and Procedures

  • Author: Britt Anderson
  • Publisher: SAGE
  • ISBN: 1446297373
  • Category: Psychology
  • Page: 240
  • View: 7062
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"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.

Fundamental Neuroscience

Fundamental Neuroscience

  • Author: Larry R. Squire
  • Publisher: Academic Press
  • ISBN: 0123858704
  • Category: Medical
  • Page: 1127
  • View: 4258
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Fundamental Neuroscience, 3rd Edition introduces graduate and upper-level undergraduate students to the full range of contemporary neuroscience. Addressing instructor and student feedback on the previous edition, all of the chapters are rewritten to make this book more concise and student-friendly than ever before. Each chapter is once again heavily illustrated and provides clinical boxes describing experiments, disorders, and methodological approaches and concepts. A companion web site contains test questions, and an imagebank of the figures for ready use in presentations, slides, and handouts. Capturing the promise and excitement of this fast-moving field, Fundamental Neuroscience, 3rd Edition is the text that students will be able to reference throughout their neuroscience careers! New to this edition: * 30% new material including new chapters on Dendritic Development and Spine Morphogenesis, Chemical Senses, Cerebellum, Eye Movements, Circadian Timing, Sleep and Dreaming, and Consciousness * Companion website with figures, web links to additional material, and test questions * Additional text boxes describing key experiments, disorders, methods, and concepts * Multiple model system coverage beyond rats, mice, and monkeys * Extensively expanded index for easier referencing

Mathematical Methods for Neural Network Analysis and Design

Mathematical Methods for Neural Network Analysis and Design

  • Author: Richard M. Golden
  • Publisher: MIT Press
  • ISBN: 9780262071741
  • Category: Computers
  • Page: 419
  • View: 9896
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This graduate-level text teaches students how to use a small number of powerful mathematical tools for analyzing and designing a wide variety of artificial neural network (ANN) systems, including their own customized neural networks. Mathematical Methods for Neural Network Analysis and Design offers an original, broad, and integrated approach that explains each tool in a manner that is independent of specific ANN systems. Although most of the methods presented are familiar, their systematic application to neural networks is new. Included are helpful chapter summaries and detailed solutions to over 100 ANN system analysis and design problems. For convenience, many of the proofs of the key theorems have been rewritten so that the entire book uses a relatively uniform notion. This text is unique in several ways. It is organized according to categories of mathematical tools—for investigating the behavior of an ANN system, for comparing (and improving) the efficiency of system computations, and for evaluating its computational goals— that correspond respectively to David Marr's implementational, algorithmic, and computational levels of description. And instead of devoting separate chapters to different types of ANN systems, it analyzes the same group of ANN systems from the perspective of different mathematical methodologies. A Bradford Book

Computational Psychiatry

Computational Psychiatry

Mathematical Modeling of Mental Illness

  • Author: Alan Anticevic,John D Murray
  • Publisher: Academic Press
  • ISBN: 0128098260
  • Category: Medical
  • Page: 332
  • View: 1257
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Computational Psychiatry: Mathematical Modeling of Mental Illness is the first systematic effort to bring together leading scholars in the fields of psychiatry and computational neuroscience who have conducted the most impactful research and scholarship in this area. It includes an introduction outlining the challenges and opportunities facing the field of psychiatry that is followed by a detailed treatment of computational methods used in the service of understanding neuropsychiatric symptoms, improving diagnosis and guiding treatments. This book provides a vital resource for the clinical neuroscience community with an in-depth treatment of various computational neuroscience approaches geared towards understanding psychiatric phenomena. Its most valuable feature is a comprehensive survey of work from leaders in this field. Offers an in-depth overview of the rapidly evolving field of computational psychiatry Written for academics, researchers, advanced students and clinicians in the fields of computational neuroscience, clinical neuroscience, psychiatry, clinical psychology, neurology and cognitive neuroscience Provides a comprehensive survey of work from leaders in this field and a presentation of a range of computational psychiatry methods and approaches geared towards a broad array of psychiatric problems

The Cambridge Handbook of Computational Psychology

The Cambridge Handbook of Computational Psychology

  • Author: Ron Sun
  • Publisher: Cambridge University Press
  • ISBN: 0521674107
  • Category: Computers
  • Page: 753
  • View: 7450
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This book is a definitive reference source for the growing, increasingly more important, and interdisciplinary field of computational cognitive modeling, that is, computational psychology. It combines breadth of coverage with definitive statements by leading scientists in this field. Research in computational cognitive modeling explores the essence of cognition and various cognitive functionalities through developing detailed, process-based understanding by specifying computational mechanisms, structures, and processes. Given the complexity of the human mind and its manifestation in behavioral flexibility, process-based computational models may be necessary to explicate and elucidate the intricate details of the mind. The key to understanding cognitive processes is often in fine details. Computational models provide algorithmic specificity: detailed, exactly specified, and carefully thought-out steps, arranged in precise yet flexible sequences. These models provide both conceptual clarity and precision at the same time. This book substantiates this approach through overviews and many examples.

The Cognitive Neurosciences

The Cognitive Neurosciences

  • Author: Michael S. Gazzaniga
  • Publisher: MIT Press
  • ISBN: 026201341X
  • Category: Psychology
  • Page: 1294
  • View: 7085
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The fourth edition of the work that defines the field of cognitive neuroscience, offering completely new material.

How to Build a Brain

How to Build a Brain

A Neural Architecture for Biological Cognition

  • Author: Chris Eliasmith
  • Publisher: Oxford University Press
  • ISBN: 0199794693
  • Category: Psychology
  • Page: 352
  • View: 6977
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How to Build a Brain provides a detailed exploration of a new cognitive architecture - the Semantic Pointer Architecture - that takes biological detail seriously, while addressing cognitive phenomena. Topics ranging from semantics and syntax, to neural coding and spike-timing-dependent plasticity are integrated to develop the world's largest functional brain model.

Consciousness and the Brain

Consciousness and the Brain

Deciphering How the Brain Codes Our Thoughts

  • Author: Stanislas Dehaene
  • Publisher: Penguin
  • ISBN: 0698151402
  • Category: Science
  • Page: 352
  • View: 8352
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WINNER OF THE 2014 BRAIN PRIZE From the acclaimed author of Reading in the Brain, a breathtaking look at the new science that can track consciousness deep in the brain How does our brain generate a conscious thought? And why does so much of our knowledge remain unconscious? Thanks to clever psychological and brain-imaging experiments, scientists are closer to cracking this mystery than ever before. In this lively book, Stanislas Dehaene describes the pioneering work his lab and the labs of other cognitive neuroscientists worldwide have accomplished in defining, testing, and explaining the brain events behind a conscious state. We can now pin down the neurons that fire when a person reports becoming aware of a piece of information and understand the crucial role unconscious computations play in how we make decisions. The emerging theory enables a test of consciousness in animals, babies, and those with severe brain injuries. A joyous exploration of the mind and its thrilling complexities, Consciousness and the Brain will excite anyone interested in cutting-edge science and technology and the vast philosophical, personal, and ethical implications of finally quantifying consciousness. From the Trade Paperback edition.