Integrating Computation And Cognition
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Cognitive Integration
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Author : R. Menary
language : en
Publisher: Springer
Release Date : 2007-10-24
Cognitive Integration written by R. Menary and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-24 with Philosophy categories.
This book argues that thinking is bounded by neither the brain nor the skin of an organism. Cognitive systems function through integration of neural and bodily functions with the functions of representational vehicles. The integrationist position offers a fresh contribution to the emerging embodied and embedded approach to the study of mind.
Integrating Computational Thinking Through Design Based Learning
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Author : Mustafa Saritepeci
language : en
Publisher: Springer Nature
Release Date : 2025-01-02
Integrating Computational Thinking Through Design Based Learning written by Mustafa Saritepeci and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Education categories.
This book creates a theoretical framework to consider the integration of computational thinking (CT) into learning and teaching processes in different contexts from a design-based learning (DBL) perspective, and presents various intervention studies. The chapters each focus on a different aspect of CT integration through DBL, providing an overview and discussing the benefits of integrating CT into the curriculum. The book also discusses the design thinking process and how it can be used to promote CT, focusing on CT concepts and considering perspectives on how these concepts can be integrated into DBL activities. It also explores how artificial intelligence (AI)-based design-oriented learning activities can be used to develop students' CT skills, examines the information technology (IT) concept of pattern recognition, and provides examples of how this can be integrated into DBL activities. It presents practical examples on integrating CT into the teaching-learning process from a design-based learning perspective, summarizes approaches to assessing CT skills, and discusses them in the context of design-based learning. Lastly, this book also conducts a bibliometric analysis of publication and citation trends in computational thinking research conducted in design-based learning.
Computational Explorations In Cognitive Neuroscience
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Author : Randall C. O'Reilly
language : en
Publisher: MIT Press
Release Date : 2000-08-28
Computational Explorations In Cognitive Neuroscience written by Randall C. O'Reilly and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-08-28 with Medical categories.
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.
From Neuron To Cognition Via Computational Neuroscience
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Author : Michael A. Arbib
language : en
Publisher: MIT Press
Release Date : 2016-11-04
From Neuron To Cognition Via Computational Neuroscience written by Michael A. Arbib and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-04 with Science categories.
A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition. This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience—methods for modeling the causal interactions underlying neural systems—complements empirical research in advancing the understanding of brain and behavior. The chapters—all by leaders in the field, and carefully integrated by the editors—cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language—the core of human cognition. The book can be used for advanced undergraduate or graduate level courses. It presents all necessary background in neuroscience beyond basic facts about neurons and synapses and general ideas about the structure and function of the human brain. Students should be familiar with differential equations and probability theory, and be able to pick up the basics of programming in MATLAB and/or Python. Slides, exercises, and other ancillary materials are freely available online, and many of the models described in the chapters are documented in the brain operation database, BODB (which is also described in a book chapter). Contributors Michael A. Arbib, Joseph Ayers, James Bednar, Andrej Bicanski, James J. Bonaiuto, Nicolas Brunel, Jean-Marie Cabelguen, Carmen Canavier, Angelo Cangelosi, Richard P. Cooper, Carlos R. Cortes, Nathaniel Daw, Paul Dean, Peter Ford Dominey, Pierre Enel, Jean-Marc Fellous, Stefano Fusi, Wulfram Gerstner, Frank Grasso, Jacqueline A. Griego, Ziad M. Hafed, Michael E. Hasselmo, Auke Ijspeert, Stephanie Jones, Daniel Kersten, Jeremie Knuesel, Owen Lewis, William W. Lytton, Tomaso Poggio, John Porrill, Tony J. Prescott, John Rinzel, Edmund Rolls, Jonathan Rubin, Nicolas Schweighofer, Mohamed A. Sherif, Malle A. Tagamets, Paul F. M. J. Verschure, Nathan Vierling-Claasen, Xiao-Jing Wang, Christopher Williams, Ransom Winder, Alan L. Yuille
Integrating Computational And Neural Findings In Visual Object Perception
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Author : Judith C. Peters
language : en
Publisher: Frontiers Media SA
Release Date : 2016-06-29
Integrating Computational And Neural Findings In Visual Object Perception written by Judith C. Peters and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-29 with Neurosciences. Biological psychiatry. Neuropsychiatry categories.
The articles in this Research Topic provide a state-of-the-art overview of the current progress in integrating computational and empirical research on visual object recognition. Developments in this exciting multidisciplinary field have recently gained momentum: High performance computing enabled breakthroughs in computer vision and computational neuroscience. In parallel, innovative machine learning applications have recently become available for datamining the large-scale, high resolution brain data acquired with (ultra-high field) fMRI and dense multi-unit recordings. Finally, new techniques to integrate such rich simulated and empirical datasets for direct model testing could aid the development of a comprehensive brain model. We hope that this Research Topic contributes to these encouraging advances and inspires future research avenues in computational and empirical neuroscience.
Post Narratology Through Computational And Cognitive Approaches
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Author : Ogata, Takashi
language : en
Publisher: IGI Global
Release Date : 2019-02-01
Post Narratology Through Computational And Cognitive Approaches written by Ogata, Takashi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-01 with Language Arts & Disciplines categories.
Studying narratives is an ideal method to gain a good understanding of how various aspects of human information are organized and integrated. The concept and methods of a narrative, which have been explored in narratology and literary theories, are likely to be connected with contemporary information studies in the future, including those in computational fields such as AI, and in cognitive science. This will result in the emergence of a significant conceptual and methodological foundation for various technologies of novel contents, media, human interface, etc. Post-Narratology Through Computational and Cognitive Approaches explores the new possibilities and directions of narrative-related technologies and theories and their implications on the innovative design, development, and creation of future media and contents (such as automatic narrative or story generation systems) through interdisciplinary approaches to narratology that are dependent on computational and cognitive studies. While highlighting topics including artificial intelligence, narrative analysis, and rhetoric generation, this book is ideally designed for designers, creators, developers, researchers, and advanced-level students.
Integrating Visual System Mechanisms Computational Models And Algorithms Technologies
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Author : Hedva Spitzer
language : en
Publisher: Frontiers Media SA
Release Date : 2020-05-26
Integrating Visual System Mechanisms Computational Models And Algorithms Technologies written by Hedva Spitzer and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-26 with categories.
The Cambridge Handbook Of Computational Cognitive Sciences
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Author : Ron Sun
language : en
Publisher: Cambridge University Press
Release Date : 2023-05-11
The Cambridge Handbook Of Computational Cognitive Sciences written by Ron Sun and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-11 with Psychology categories.
The Cambridge Handbook of Computational Cognitive Sciences is a comprehensive reference for this rapidly developing and highly interdisciplinary field. Written with both newcomers and experts in mind, it provides an accessible introduction of paradigms, methodologies, approaches, and models, with ample detail and illustrated by examples. It should appeal to researchers and students working within the computational cognitive sciences, as well as those working in adjacent fields including philosophy, psychology, linguistics, anthropology, education, neuroscience, artificial intelligence, computer science, and more.
Integrated Models Of Cognitive Systems
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Author : Wayne D. Gray
language : en
Publisher: Oxford University Press
Release Date : 2007-04-19
Integrated Models Of Cognitive Systems written by Wayne D. Gray and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-19 with Psychology categories.
The field of cognitive modeling has progressed beyond modeling cognition in the context of simple laboratory tasks and begun to attack the problem of modeling it in more complex, realistic environments, such as those studied by researchers in the field of human factors. The problems that the cognitive modeling community is tackling focus on modeling certain problems of communication and control that arise when integrating with the external environment factors such as implicit and explicit knowledge, emotion, cognition, and the cognitive system. These problems must be solved in order to produce integrated cognitive models of moderately complex tasks. Architectures of cognition in these tasks focus on the control of a central system, which includes control of the central processor itself, initiation of functional processes, such as visual search and memory retrieval, and harvesting the results of these functional processes. Because the control of the central system is conceptually different from the internal control required by individual functional processes, a complete architecture of cognition must incorporate two types of theories of control: Type 1 theories of the structure, functionality, and operation of the controller, and type 2 theories of the internal control of functional processes, including how and what they communicate to the controller. This book presents the current state of the art for both types of theories, as well as contrasts among current approaches to human-performance models. It will be an important resource for professional and student researchers in cognitive science, cognitive-engineering, and human-factors. Contributors: Kevin A. Gluck, Jerry T. Ball, Michael A. Krusmark, Richard W. Pew, Chris R. Sims, Vladislav D. Veksler, John R. Anderson, Ron Sun, Nicholas L. Cassimatis, Randy J. Brou, Andrew D. Egerton, Stephanie M. Doane, Christopher W. Myers, Hansjörg Neth, Jeremy M Wolfe, Marc Pomplun, Ronald A. Rensink, Hansjörg Neth, Chris R. Sims, Peter M. Todd, Lael J. Schooler, Wai-Tat Fu, Michael C. Mozer, Sachiko Kinoshita, Michael Shettel, Alex Kirlik, Vladislav D. Veksler, Michael J. Schoelles, Jerome R. Busemeyer, Eric Dimperio, Ryan K. Jessup, Jonathan Gratch, Stacy Marsella, Glenn Gunzelmann, Kevin A. Gluck, Scott Price, Hans P. A. Van Dongen, David F. Dinges, Frank E. Ritter, Andrew L. Reifers, Laura Cousino Klein, Michael J. Schoelles, Eva Hudlicka, Hansjörg Neth, Christopher W. Myers, Dana Ballard, Nathan Sprague, Laurence T. Maloney, Julia Trommershäuser, Michael S. Landy, A. Hornof, Michael J. Schoelles, David Kieras, Dario D. Salvucci, Niels Taatgen, Erik M. Altmann, Richard A. Carlson, Andrew Howes, Richard L. Lewis, Alonso Vera, Richard P. Cooper, and Michael D. Byrne
The Past Present And Future Of Integrated History And Philosophy Of Science
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Author : Emily Herring
language : en
Publisher: Routledge
Release Date : 2019-05-14
The Past Present And Future Of Integrated History And Philosophy Of Science written by Emily Herring and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-14 with History categories.
Integrated History and Philosophy of Science (iHPS) is commonly understood as the study of science from a combined historical and philosophical perspective. Yet, since its gradual formation as a research field, the question of how to suitably integrate both perspectives remains open. This volume presents cutting edge research from junior iHPS scholars, and in doing so provides a snapshot of current developments within the field, explores the connection between iHPS and other academic disciplines, and demonstrates some of the topics that are attracting the attention of scholars who will help define the future of iHPS.